N. Younan

R. King, N. Younan, V. Ramnath, 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

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).

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.

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.

Concepts of Image Fusion in Remote Sensing Applications

C. O'Hara, V. Vijayaraj, N. Younan, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

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.

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).

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.

Transfer learning for image information mining applications

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

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.

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].

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..

On a Pulse Data Preprocessing Technique to Recover Parameters of Damped Sinusoids in Noise

C. D. Taylor, N. Younan, E. Harper, 1987 .

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.

High-frequency analysis of the Ellipticus antenna

N. H. Younan, B. I. Cox, Clayborne D. Taylor, 1994 .

A pattern recognition based approach to consistency analysis of geophysical datasets

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

Augmenting satellite precipitation estimation with lightning information

W. Petersen, N. Younan, K. Hsu, 2013 .

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.

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.

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).

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.

Precipitation data fusion using vector space transformation and artificial neural networks

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

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.

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.

Underground power cable fault detection using complex wavelet analysis

Zhiling Long, T. O. Bialek, N. H. Younan, 2012, 2012 International Conference on High Voltage Engineering and Application.

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.

DTM extraction of lidar returns via adaptive processing

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

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

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

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.

Applying modular classifiers to mammographic mass classification

N.H. Younan, V.P. Shah, L.M. Bruce, 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

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

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

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.

Pixel Unmixing via Information of Neighboring Pixels

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

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..

Efficient Probabilistic Collaborative Representation-Based Classifier for Hyperspectral Image Classification

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

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.

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.

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 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.

End-member extraction for hyperspectral image analysis.

Qian Du, Roger L King, Nareenart Raksuntorn, 2008, Applied optics.

Fast supervised hyperspectral band selection using graphics processing unit

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

Variants of N-FINDR algorithm for endmember extraction

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

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).

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).

Change Analysis for Hyperspectral Imagery

Qian Du, N. Younan, R. King, 2007, 2007 International Workshop on the Analysis of Multi-temporal Remote Sensing Images.

FDTD analysis of noise radiation and propagation

M. Zunoubi, N. Younan, C. Taylor, 2000 .

Pan-sharpening via the contourlet transform

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

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..

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 .

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 .

Application of the singular valve decomposition-Prony method for analyzing deep-level transient spectroscopy capacitance transients

S. Saddow, N. Younan, M. Mazzola, 1998 .

Improved methods for investigating boron related defects in 6H-SiC using deep level transient spectroscopy

S. Saddow, N. Younan, M. Mazzola, 1997, 1997 Proceedings IEEE/Cornell Conference on Advanced Concepts in High Speed Semiconductor Devices and Circuits.

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.

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).

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.

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

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

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.

Orthogonal Graph-regularized Non-negative Matrix Factorization for Hyperspectral Image Clustering

Qian Du, Long Tian, Ivica Kopriva, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Kernel Spatial-Spectral Based Multi-View Low-Rank Sparse Sbuspace Clustering for Hyperspectral Imagery

Qian Du, Long Tian, Ivica Kopriva, 2018, 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

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).

A new parameter estimation algorithm for an electrical analogue battery model

Jianwei Li, N. Younan, J. Gafford, 2012, 2012 Twenty-Seventh Annual IEEE Applied Power Electronics Conference and Exposition (APEC).

Optimized Spectral Transformation for Detection and Classification of Buried Radioactive Materials

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

A framework for semantic reconciliation of disparate earth observation thematic data

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

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.

Multiscale texture segmentation via a contourlet contextual hidden Markov model

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

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

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

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..

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.

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).

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.

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).

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.

On Using the SVD-Prony Method to Extract Poles of an EM System from its Transient Response

N. Younan, C. Taylor, 1991 .

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.

Quantitative analysis of pansharpened images

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

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

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

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

N. Younan, J. Aanstoos, Lalitha Dabbiru, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

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 .

Iowa State University From the SelectedWorks of James Aanstoos 2014 Comparison of L-band and X-band polarimetric SAR data classification for screening earthen levees

N. Younan, J. Aanstoos, Lalitha Dabbiru, 2018 .

A data analytic methodology for materials informatics

O. Abuomar, N. Younan, O. Abuomar, 2014 .

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.

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).

Particle Swarm Optimization-Based Band Selection for Hyperspectral Target Detection

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