Nicolas H. Younan

发表

Semantics driven framework for coastal zones

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

Evaluating transfer learning approaches for image information mining applications

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Fast supervised hyperspectral band selection using graphics processing unit

Qian Du, Nicolas H. Younan, Wei Wei, 2012 .

Precipitation data fusion using vector space transformation and artificial neural networks

Nicolas H. Younan, Valentine G. Anantharaj, Anish C. Turlapaty, 2010, Pattern Recognit. Lett..

CLODD based band group selection

Nicolas H. Younan, Derek Anderson, John E. Ball, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Attention-Based Domain Adaptation Using Residual Network for Hyperspectral Image Classification

Nicolas H. Younan, Robiulhossain Mdrafi, Qian Du, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Fast Kernel Collaborative Representation for Hyperspectral Image Classification

Qian Du, Yan Xu, Nicolas H. Younan, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Hyperspectral image segmentation with low-rank representation and spectral clustering

Qian Du, Nicolas H. Younan, Alex Sumarsono, 2015, 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Optimizing thinned antenna array geometry in MIMO radar systems using multiple genetic algorithm

Nicolas H. Younan, Jie He, Da-zheng Feng, 2011, Proceedings of 2011 IEEE CIE International Conference on Radar.

Quality analysis of pansharpened images

Nicolas H. Younan, Veeraraghavan Vijayaraj, Charles G. O'Hara, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

Adaptive Deblocking of Images with DCT Compression

Nicolas H. Younan, Zhiling Long, 2006, IPCV.

Asymptotic analysis of the cumulant-based MUSIC method in the presence of sample cumulant errors

Nicolas H. Younan, X. Fan, N. Younan, 1995, IEEE Trans. Signal Process..

Accelerating Big Data processing chain in Image Information Mining using a hybrid HPC approach

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

A Hybrid Approach for Building Extraction From Spaceborne Multi-Angular Optical Imagery

Qian Du, Nicolas H. Younan, Anish C. Turlapaty, 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A Partially Supervised Approach for Detection and Classification of Buried Radioactive Metal Targets Using Electromagnetic Induction Data

Qian Du, Nicolas H. Younan, Anish C. Turlapaty, 2013, IEEE Transactions on Geoscience and Remote Sensing.

On the Use of the Genetic Algorithm Filter-Based Feature Selection Technique for Satellite Precipitation Estimation

Nicolas H. Younan, Shantia Yarahmadian, Valentine G. Anantharaj, 2012, IEEE Geoscience and Remote Sensing Letters.

Wavelet based statistical signal processing for the detection of subpixel hyperspectral targets

Nicolas H. Younan, Vijay P. Shah, 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

Concatenated Decision Paths Classification for Datasets with Small Number of Class Labels

Nicolas H. Younan, Ivan Mitzev, 2017, ICPRAM.

Standards-Based Middleware and Tools for Coastal Sensor Web Applications

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2010, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Semantics-Enabled Knowledge Management for Global Earth Observation System of Systems

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

An Efficient Pan-Sharpening Method via a Combined Adaptive PCA Approach and Contourlets

Roger L. King, Nicolas H. Younan, Vijay P. Shah, 2008, IEEE Transactions on Geoscience and Remote Sensing.

Gabor-Filtering-Based Probabilistic Collaborative Representation for Hyperspectral Image Classification

Qian Du, Nicolas H. Younan, Yan Xu, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Nonlinear classification of multispectral imagery using representation-based classifiers

Qian Du, Nicolas H. Younan, Chen Chen, 2017, IGARSS.

High resolution satellite precipitation estimate using cluster ensemble cloud classification

Nicolas H. Younan, Valentine G. Anantharaj, James Aanstoos, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

A Support Vector Machine Formulation To Kernel PCA

Nicolas H. Younan, Nishant Chandra, 2005, IC-AI.

Variants of N-FINDR algorithm for endmember extraction

Qian Du, Roger L. King, Nicolas H. Younan, 2008, Remote Sensing.

An ontology merging tool to facilitate interoperability between coastalsensor networks

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

A Supervised Classification Method for Levee Slide Detection Using Complex Synthetic Aperture Radar Imagery

Nicolas H. Younan, James Aanstoos, Ramakalavathi Marapareddy, 2016, J. Imaging.

Wavelet features for information mining in remote sensing archives

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

Comparison of L-band and X-band polarimetric SAR data classification for screening earthen levees

Nicolas H. Younan, James Aanstoos, Lalitha Dabbiru, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Pattern Synthesis for Sparse MIMO Radar Arrays Using Multistage Genetic Algorithm

Nicolas H. Younan, Jie He, Da-Zheng Feng, 2013 .

Tensor-based offset-sparsity decomposition for hyperspectral image classification

Qian Du, Nicolas H. Younan, Long Tian, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Hyperspectral classification using selected contourlet subbands

Qian Du, Nicolas H. Younan, Zhiling Long, 2012, 2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS).

Nonparametric detection of cloudy pixels in AVHRR NDVI data

Roger L. King, Nicolas H. Younan, Valentine G. Anantharaj, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

Wrapper-Based Feature Subset Selection for Rapid Image Information Mining

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2010, IEEE Geoscience and Remote Sensing Letters.

Estimation of mass and depth of buried radioactive materials using neural networks

Qian Du, Nicolas H. Younan, Wei Wei, 2010, IEEE Nuclear Science Symposuim & Medical Imaging Conference.

A statistic filter routine

Nicolas H. Younan, William G. Frazier, 1990 .

Enhanced Effective Detection of Buried Radioactive Waste - 10177

Nicolas H. Younan, Wei Wei, Donna M. Rogers, 2010 .

A Machine Learning Framework for Detecting Landslides on Earthen Levees Using Spaceborne SAR Imagery

Nicolas H. Younan, Saurabh Prasad, James Aanstoos, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Iowa State University From the SelectedWorks of James Aanstoos 2013 Landslide Detection on Earthen Levees with X-band and L-band Radar Data

Wei Li, Nicolas H. Younan, James Aanstoos, 2018 .

Standards-Based Coastal Sensor Web

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2008, 2008 IEEE International Conference on Data Mining Workshops.

An advanced signal processing toolkit for JAVA applications

Anthony Skjellum, Nicolas H. Younan, Vijay P. Shah, 2003, PPPJ.

Information Semantic Tools for Coastal Data Management

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2007 .

Information Services and Middleware for the Coastal Sensor Web

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Hyperspectral image compression and target detection using nonlinear principal component analysis

Qian Du, Nicolas H. Younan, Wei Wei, 2013, Optics & Photonics - Optical Engineering + Applications.

Parameter Estimation Based on Sigmoid Transform in Wideband Bistatic MIMO Radar System under Impulsive Noise Environment

Li Li, Nicolas H. Younan, Xiaofei Shi, 2019, Sensors.

A Novel Parameter Estimation Method Based on a Tuneable Sigmoid in Alpha-Stable Distribution Noise Environments

Li Li, Nicolas H. Younan, Xiaofei Shi, 2018, Sensors.

An image-adaptive watermark based on a redundant wavelet transform

Nicolas H. Younan, James E. Fowler, J.-G. Cao, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Classification of polarimetric SAR imagery using unsupervised H/α and extended H/α schemes to detect anomalies on earthen levees

Nicolas H. Younan, James Aanstoos, Ramakalavathi Marapareddy, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Improved sequential endmember extraction algorithms

Qian Du, Nicolas H. Younan, He Yang, 2011, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Fusion of synthetic aperture radar and hyperspectral imagery to detect impacts of oil spill in Gulf of Mexico

Nicolas H. Younan, Robert J. Moorhead, Sathishkumar Samiappan, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

A Supervised Classification Method for Levee Slide Detection Using Complex Synthetic Aperture Radar Imagery

Nicolas H. Younan, James V. Aanstoos, Ramakalavathi Marapareddy, 2016 .

Use of geo-ontology matching to measure the degree of interoperability

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

An Adaptive Spectral Transformation Approach to Pan-Sharpening

Roger L. King, Nicolas H. Younan, Vijay P. Shah, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Multiscale texture segmentation via a contourlet contextual hidden Markov model

Nicolas H. Younan, Zhiling Long, N. Younan, 2013, Digit. Signal Process..

Feature Identification via a Combined ICA–Wavelet Method for Image Information Mining

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2010, IEEE Geoscience and Remote Sensing Letters.

Statistical image modeling in the contourlet domain using contextual hidden Markov models

Nicolas H. Younan, Zhiling Long, N. Younan, 2009, Signal Process..

Interpolation of Missing Values in AMSR-E Soil Moisture Data Using Modified SSA

Nicolas H. Younan, Valentine G. Anantharaj, Anish C. Turlapaty, 2011, IEEE Geoscience and Remote Sensing Letters.

Low resolution radar missile identification via AR modelling

Nicolas H. Younan, Eugene Bluhm, 2008 .

Ensemble Methodology Using Multistage Learning for Improved Detection of Harmful Algal Blooms

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2012, IEEE Geoscience and Remote Sensing Letters.

High performance GPU computing based approaches for oil spill detection from multi-temporal remote sensing data

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2017 .

Data stream mining for multitemporal remote sensing data

Nicolas H. Younan, O. Abuomar, Roger S. King, 2015, 2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp).

Spatial-spectral Based Multi-view Low-rank Sparse Sbuspace Clustering for Hyperspectral Imagery

Qian Du, Nicolas H. Younan, Long Tian, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Multiscale spectral-spatial classification for hyperspectral imagery

Qian Du, Nicolas H. Younan, Zhiling Long, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Pattern Recognition of EMG Data Subjected for Further Processing

Nicolas H. Younan, Ivan Mitzev, 2010, IPCV.

Pattern Recognition in Remote Sensing

Lorenzo Bruzzone, Nicolas H. Younan, Selim Aksoy, 2010, Pattern Recognit. Lett..

Multispectral sensor design using performance measure-based hyperspectral band grouping

Nicolas H. Younan, Derek Anderson, John E. Ball, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Transfer learning for image information mining applications

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2012 .

Combine labeled and unlabeled information for hyperspectral image classification

Qian Du, Nicolas H. Younan, Deok Han, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Enhancement of Satellite Precipitation Estimation via Unsupervised Dimensionality Reduction

Nicolas H. Younan, Valentine G. Anantharaj, James Aanstoos, 2012, IEEE Transactions on Geoscience and Remote Sensing.

On Using Combined Wavelet/SVD-Prony Algorithm to Estimate the Parameters of Damped Sinusoids in Noise

Nicolas H. Younan, R. Soundararajan, 1999, SIP.

Low-complexity multiple collaborative representations for hyperspectral image classification

Qian Du, Nicolas H. Younan, Wei Li, 2017, Remote Sensing.

Optimal wavelet features for an infrared satellite precipitation estimate algorithm

Nicolas H. Younan, Valentine G. Anantharaj, James Aanstoos, 2010, 2010 IEEE 39th Applied Imagery Pattern Recognition Workshop (AIPR).

Multiscale spectral-spatial hyperspectral classification using Multilinear PCA and contourlet transform

Qian Du, Nicolas H. Younan, Zhiling Long, 2013, 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Semantics-Enabled Framework for Spatial Image Information Mining of Linked Earth Observation Data

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

16 – Concepts of image fusion in remote sensing applications

Roger L. King, Nicolas H. Younan, Pushkar Pradham, 2008 .

Investigation of evolutionary feature subset selection in multi-temporal datasets for harmful algal bloom detection

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2011, 2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp).

Color Representation and Classification for Hyperspectral Imagery

Qian Du, Nicolas H. Younan, Nareenart Raksuntorn, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

Comprehensive performance analysis of Spatio-Temporal Data Mining approach on multi-temporal coastal remote sensing datasets

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

JPEG2000: IMAGE QUALITY METRICS

Nicolas H. Younan, Charles G. OHara, Bijay Shrestha, 2005 .

Particle Swarm Optimization-Based Band Selection for Hyperspectral Target Detection

Qian Du, Nicolas H. Younan, Yan Xu, 2017, IEEE Geoscience and Remote Sensing Letters.

Supervised classification using polarimetric SAR decomposition parameters to detect anomalies on earthen levees

Nicolas H. Younan, James Aanstoos, Lori M. Bruce, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Coalescing ICA and Wavelets Coefficients for Image Information Mining in Earth Observation Data Archives

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

Performance evaluation for pan-sharpening techniques

Qian Du, Roger L. King, Nicolas H. Younan, 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

Denoising of images with multiplicative noise corruption

Nicolas H. Younan, Zhiling Long, 2005, 2005 13th European Signal Processing Conference.

Joint Estimation of Doppler Stretch and Time Delay of Wideband Echoes for LFM Pulse Radar Based on Sigmoid-FRFT Transform under the Impulsive Noise Environment

Li Li, Nicolas H. Younan, Xiaofei Shi, 2019 .

Joint spectral and spatial quality evaluation of pan-sharpening algorithms

Roger L. King, Nicolas H. Younan, Vijay P. Shah, 2008 .

Adaptive Image Segmentation: A Comparative Study

Nicolas H. Younan, Karthik Ponnala, 2007, IPCV.

Attention-based Domain Adaptation for Hyperspectral Image Classification

Nicolas H. Younan, Bo Tang, Qian Du, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Fusion of heterogeneous bands and kernels in hyperspectral image processing

Nicolas H. Younan, Derek T. Anderson, John E. Ball, 2019, ArXiv.

Machine Learning Framework for Mapping of Mississippi River Levees and Damage Assessment Using Terrasar-X Data

Nicolas H. Younan, John E. Ball, James Aanstoos, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

On performance improvement of vertex component analysis based endmember extraction from hyperspectral imagery

Qian Du, Nicolas H. Younan, Nareenart Raksuntorn, 2014, Sensing Technologies + Applications.

A Computation Reduced Technique to Primitive Feature Extraction for Image Information Mining Via the Use of Wavelets

Roger L. King, Nicolas H. Younan, Vijay P. Shah, 2008 .

Wavelet domain statistical hyperspectral soil texture classification

Nicolas H. Younan, Xudong Zhang, Charles G. O'Hara, 2005, IEEE Transactions on Geoscience and Remote Sensing.

Image information mining for coastal disaster management

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Signal restoration via the regularized constrained total least squares

Nicolas H. Younan, X. Fan, 1998, Signal Process..

Tarp Filtering of Block-Transform Coefficients for Embedded Image Coding

Nicolas H. Younan, James E. Fowler, Vijay P. Shah, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Nonlinear classification of multispectral imagery using representation-based classifiers

Qian Du, Nicolas H. Younan, Chen Chen, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Interpolation of incompletely and non-uniformly sampled survey data for buried radioactive point source detection

Nicolas H. Younan, Zhiling Long, Charles Jones, 2012, 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC).

Effective Detection of Buried Radioactive Waste - 9295

Nicolas H. Younan, Donna M. Rogers, Qian Du, 2009 .

A Machine Learning Based Spatio-Temporal Data Mining Approach for Detection of Harmful Algal Blooms in the Gulf of Mexico

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A Proposal for the Standardization of Image Information Mining Systems via OGC Web Services Framework

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Pareto optimization for multiobjective matching of geospatial ontologies

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Radar and Radio Signal Processing

Nicolas H. Younan, James E Ball, 2017 .

Decision fusion for buried radioactive target detection and discrimination using radiation and EMI data

Qian Du, Nicolas H. Younan, Wei Wei, 2013, ICECom 2013.

Sensor web and data mining approaches for Harmful algal bloom detection and monitoring in the Gulf of Mexico region

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

AN improved ensemble appraoch with Probabilistic Neural Network-Combinational algorithm

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Fusion of diverse features and kernels using LP-norm based multiple kernel learning in hyperspectral image processing

Nicolas H. Younan, Derek Anderson, John E. Ball, 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Foreword to the Special Issue on Pattern Recognition in Remote Sensing

Roger L. King, Nicolas H. Younan, Selim Aksoy, 2012, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens..

Detection and classification of buried radioactive-metal objects using wideband EMI data

Qian Du, Nicolas H. Younan, Anish C. Turlapaty, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Cybersecurity risk testing of substation phasor measurement units and phasor data concentrators

Roger L. King, Nicolas H. Younan, Vahid Madani, 2011, CSIIRW '11.

Embedded high performance computing for on-board hyperspectral image classification

Surya S. Durbha, Nicolas H. Younan, Pankaj H. Randhe, 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Hyperspectral pixel unmixing using singular value decomposition

Nicolas H. Younan, John E. Ball, S. Kari, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

Precipitation data merging using general linear regression

Nicolas H. Younan, Valentine G. Anantharaj, Anish C. Turlapaty, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Pan-sharpening via the contourlet transform

Roger L. King, Nicolas H. Younan, Vijay P. Shah, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Semisupervised classification of hyperspectral remote sensing images with spatial majority voting

Qian Du, Nicolas H. Younan, Deok Han, 2016, 2016 9th IAPR Workshop on Pattern Recogniton in Remote Sensing (PRRS).

Evaluation of JP3D for lossy and lossless compression of hyperspectral imagery

Jing Zhang, Guizhong Liu, Nicolas H. Younan, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Radiation and Electromagnetic Induction Data Fusion for Detection of Buried Radioactive Metal Waste - 12282

Nicolas H. Younan, Wei Wei, Anish C. Turlapaty, 2012 .

A spatio-temporal ontological model for flood disaster monitoring

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Mobile computing and Sensor Web Services for coastal buoys

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Levee anomaly detection using polarimetric synthetic aperture radar data

Wei Li, Nicolas H. Younan, James Aanstoos, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

A Wavelet-Based Automated Object Recognition System for Remotely Sensed Images

Nicolas H. Younan, Xudong Zhang, 2004, CISST.

Interpolation of geophysical data using spatio-temporal (3D) block singular value decomposition

Nicolas H. Younan, Valentine G. Anantharaj, Anish C. Turlapaty, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

A Superpixel-Based Coastline Extraction Algorithm for Single-Polarized ENVISAT and ERS Imagery

Qian Du, Nicolas H. Younan, Li Li, 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

DTM extraction of lidar returns via adaptive processing

Nicolas H. Younan, Hyun S. Lee, N. Younan, 2003, IEEE Trans. Geosci. Remote. Sens..

On the Use of a Cluster Ensemble Cloud Classification Technique in Satellite Precipitation Estimation

Nicolas H. Younan, Shantia Yarahmadian, Valentine G. Anantharaj, 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Hyperspectral image cube compression combining JPEG-2000 and spectral decorrelation

Roger L. King, Nicolas H. Younan, Hyun S. Lee, 2002, IEEE International Geoscience and Remote Sensing Symposium.

Pansharpening and image quality interface

Nicolas H. Younan, Veeraraghavan Vijayaraj, Charles G. O'Hara, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

Automated texture recognition system based on 2D minimum variance spectral estimation

Nicolas H. Younan, Lori M. Bruce, Abhinav Mathur, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

Hyperspectral Pixel Unmixing via Spectral Band Selection and DC-Insensitive Singular Value Decomposition

Nicolas H. Younan, John E. Ball, Lori M. Bruce, 2007, IEEE Geoscience and Remote Sensing Letters.

Classification of levees using polarimetric Synthetic Aperture Radar (SAR) imagery

Nicolas H. Younan, James Aanstoos, Lalitha Dabbiru, 2010, 2010 IEEE 39th Applied Imagery Pattern Recognition Workshop (AIPR).

inAspect™: interfacing Java and VSIPL

Anthony Skjellum, Nicolas H. Younan, Vijay P. Shah, 2002, JGI '02.

The 5th IAPR workshop on pattern recognition in remote sensing

David A. Clausi, Nicolas H. Younan, Selim Aksoy, 2008, ICPR 2008.

A Systematic Approach to Wavelet-Decomposition-Level Selection for Image Information Mining From Geospatial Data Archives

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2007, IEEE Transactions on Geoscience and Remote Sensing.

Bi-capon beamforming for MIMO radar based on rank-reduced correlation matrix

Nicolas H. Younan, Jie He, Da-zheng Feng, 2013 .

An Information Semantics Approach for Knowledge Management and Interoperability for the Global Earth Observation System of Systems

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2008, IEEE Systems Journal.

Unsupervised classification of SAR imagery using polarimetric decomposition to preserve scattering characteristics

Nicolas H. Younan, James Aanstoos, Ramakalavathi Marapareddy, 2015, 2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

JPEG2000 coding strategies for hyperspectral data

Nicolas H. Younan, James E. Fowler, J. T. Rucker, 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

Semantics-Enabled Knowledge Management for Global Earth Observation System of Systems

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

Change detection analysis of tornado disaster using conditional copulas and Data Fusion for cost-effective disaster management

Roger L. King, Nicolas H. Younan, Anish C. Turlapaty, 2015, 2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

A spectral estimation toolkit for Java applications

Anthony Skjellum, Nicolas H. Younan, Vijay P. Shah, 2005, Sci. Comput. Program..

Big data processing using hpc for remote sensing disaster data

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Screening Mississippi River Levees Using Texture-Based and Polarimetric-Based Features from Synthetic Aperture Radar Data

Nicolas H. Younan, James E Ball, James V. Aanstoos, 2017 .

Impulsive noise reduction using type-2 fuzzy logic

Nicolas H. Younan, Hyun S. Lee, 2001, SIP.

Dimensionality Reduction and Linear Discriminant Analysis for Hyperspectral Image Classification

Qian Du, Nicolas H. Younan, 2008, KES.

A framework for semantic reconciliation of disparate earth observation thematic data

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2009, Comput. Geosci..

Particle swarm optimization-based band selection for hyperspectral target detection

Qian Du, Nicolas H. Younan, Yan Xu, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Underground cable fault detection and identification via fourier analysis

Nicolas H. Younan, Abhishek Pandey, N. Younan, 2010, 2010 International Conference on High Voltage Engineering and Application.

Optimal Filtering for Texture Classification: A Comparative Study

Nicolas H. Younan, Vijay P. Shah, Lori M. Bruce, 2004, CISST.

Advanced Unsupervised Classification Methods to Detect Anomalies on Earthen Levees Using Polarimetric SAR Imagery

Nicolas H. Younan, James Aanstoos, Ramakalavathi Marapareddy, 2016, Sensors.

Estimation of the Number of Decomposition Levels for a Wavelet-Based Multiresolution Multisensor Image Fusion

Roger L. King, Nicolas H. Younan, Pushkar S. Pradhan, 2006, IEEE Transactions on Geoscience and Remote Sensing.

An unmixing algorithm based on vicinal information

Roger L. King, Nicolas H. Younan, Junwu Luo, 2002, IEEE International Geoscience and Remote Sensing Symposium.

A novel method to evaluate the performance of pan-sharpening algorithms

Roger L. King, Nicolas H. Younan, Vijay P. Shah, 2007, SPIE Defense + Commercial Sensing.

Efficient Probabilistic Collaborative Representation-Based Classifier for Hyperspectral Image Classification

Qian Du, Wei Li, Nicolas H. Younan, 2019, IEEE Geoscience and Remote Sensing Letters.

Image information mining from geospatial archives based on a combination of the wavelet transform and Fourier phase descriptor

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2007, SPIE Defense + Commercial Sensing.

Development and Characterization of a Continuous Tympanic Temperature Logging (CTTL) Probe for Bovine Animals

Nicolas H. Younan, J. E. Larson, Joseph L. Purswell, 2016 .

A pattern recognition based approach to consistency analysis of geophysical datasets

Nicolas H. Younan, Valentine G. Anantharaj, Anish C. Turlapaty, 2010, Comput. Geosci..

Decision fusion for improved detection of buried radioactive objects

Qian Du, Nicolas H. Younan, Wei Wei, 2013, 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC).

Effect of vegetation height and volume scattering on soil moisture classification using synthetic aperture radar (SAR) images

Nicolas H. Younan, Saurabh Prasad, James Aanstoos, 2011, 2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

Domain adaptation approach for classification of high resolution post-disaster data

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Orthogonal matching pursuit for nonlinear unmixing of hyperspectral imagery

Qian Du, Nicolas H. Younan, Wei Li, 2014, 2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP).

Application of the contourlet transform for image information mining in earth observation data archives

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

inAspect: interfacing Java and VSIPL applications

Anthony Skjellum, Nicolas H. Younan, Vijay P. Shah, 2005, Concurr. Pract. Exp..

DTM error minimization via adaptive smoothing [LIDAR forest measurements]

Roger L. King, Nicolas H. Younan, Hyun S. Lee, 2002, IEEE International Geoscience and Remote Sensing Symposium.

Infrared satellite precipitation estimate using waveletbased cloud classification and radar calibration

Nicolas H. Younan, Valentine G. Anantharaj, F. Joseph Turk, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Spectral unmixing of airborne hyperspectral imagery for mapping giant reed infestations

Qian Du, Nicolas H. Younan, Chenghai Yang, 2010, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Dimensionality reduction of hyperspectral imagery with sparse and collaborative graphs

Qian Du, Nicolas H. Younan, James E. Fowler, 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Classification of levee slides from airborne synthetic aperture radar images with efficient spatial feature extraction

Nicolas H. Younan, Qian Du, James V. Aanstoos, 2015 .

Performance analysis of the adaptive line enhancer with multiple sinusoids in noisy environment

Nicolas H. Younan, R. L. Campbell, J. Gu, 2002, Signal Process..

An innovative approach to detect anomalies on earthen levees using unsupervised classification of polarimetric SAR imagery

Nicolas H. Younan, James Aanstoos, Ramakalavathi Marapareddy, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Optimized Spectral Transformation for Detection and Classification of Buried Radioactive Materials

Qian Du, Nicolas H. Younan, Wei Wei, 2012, IEEE Transactions on Nuclear Science.

Enhancements of Fingerprints Based Identity Authentication System Using Adaptive Algorithms

Nicolas H. Younan, John E. Ball, Nishant Chandra, 2005, CISST.

Classification performance of random-projection-based dimensionality reduction of hyperspectral imagery

Qian Du, Nicolas H. Younan, James E. Fowler, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Multiple-Feature Ideal Regularized Kernel for Hyperspectral Image Classification

Qian Du, Yan Xu, Jiangtao Peng, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Particle swarm optimization based spectral transformation for radioactive material detection and classification

Qian Du, Nicolas H. Younan, Wei Wei, 2010, 2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications.

Adaptive hyperspectral pixel unmixing using best bands analysis and dc insensitive singular value decomposition

Nicolas H. Younan, John E. Ball, Lori M. Bruce, 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

Multispectral image enhancement with extended offset-sparsity decomposition

Qian Du, Nicolas H. Younan, Long Tian, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Pixel Unmixing via Information of Neighboring Pixels

Roger L. King, Nicolas H. Younan, R. King, 2006 .

Nutrient fertilizer requirements for sustainable biomass supply to meet U.S. bioenergy goal.

Surya S. Durbha, Roger L. King, Nicolas H. Younan, 2011 .

Radar target identification via a combined E-pulse/SVD-Prony method

Nicolas H. Younan, N. Younan, 2000, Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037].

Parallel optimization-based spectral transformation for detection and classification of buried radioactive materials

Qian Du, Nicolas H. Younan, Wei Wei, 2011, 2011 IEEE Nuclear Science Symposium Conference Record.

Earthen levee slide detection via automated analysis of synthetic aperture radar imagery

Nicolas H. Younan, James V. Aanstoos, Lalitha Dabbiru, 2016, Landslides.

A Combined Derivative Spectroscopy and Savitzky-Golay Filtering Method for the Analysis of Hyperspectral Data

Roger L. King, Nicolas H. Younan, R. King, 2008 .

On an Enhanced PERSIANN-CCS Algorithm for Precipitation Estimation

Kuolin Hsu, Nicolas H. Younan, Valentine G. Anantharaj, 2012 .

Binary fuzzy measures and Choquet integration for multi-source fusion

Nicolas H. Younan, Paul Elmore, Muhammad Aminul Islam, 2017, 2017 International Conference on Military Technologies (ICMT).

Estimating the model parameters of deep-level transient spectroscopy data using a combined wavelet/singular value decomposition Prony method

Nicolas H. Younan, Michael S. Mazzola, N. Younan, 2001 .

Quantitative analysis of pansharpened images

Nicolas H. Younan, Veeraraghavan Vijayaraj, Charles G. OHara, 2006 .