D. Rosario

发表

Integrated Learning and Feature Selection for Deep Neural Networks in Multispectral Images

Olac Fuentes, Christopher Kiekintveld, Dalton S. Rosario, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Innovative Statistical Inference for Anomaly Detection in Hyperspectral Imagery

D. Rosario, 2004 .

Hyperspectral Imaging and Obstacle Detection for Robotics Navigation

N. Nasrabadi, H. Kwon, D. Rosario, 2005 .

Ground Viewing Perspective Hyperspectral Anomaly Detection

D. Rosario, J. Romano, 2008 .

Alternative Asymmetric Hypothesis Tests for Hyperspectral Imagery

D. Rosario, 2006 .

Data processing and temperature-emissivity separation for tower-based imaging Fourier transform spectrometer data

João Marcos Travassos Romano, Dalton Rosario, Christoph C. Borel, 2015 .

Spectral and Polarimetric Imagery Collection Experiment (SPICE) Longwave Infrared Spectral Dataset

D. Rosario, J. Romano, Christoph Borel-Donohue, 2014 .

A nonparametric F-distribution anomaly detector for hyperspectral imagery

D. Rosario, 2005, 2005 IEEE Aerospace Conference.

Solid target spectral variability in LWIR

Dalton Rosario, Joao M. Romano, Christoph Borel, 2016, SPIE Defense + Security.

Pattern recognition in hyperspectral persistent imaging

Dalton Rosario, Joao M. Romano, Christoph Borel, 2015, Defense + Security Symposium.

A Semiparametric Model for Hyperspectral Anomaly Detection

Dalton S. Rosario, D. Rosario, 2012, J. Electr. Comput. Eng..

Wide-area hyperspectral chemical plume detection using parallel random sampling

Dalton Rosario, John Romano, D. Rosario, 2007, SPIE Defense + Commercial Sensing.

Principle of indirect comparison (PIC): simulation and analysis of PIC-based anomaly detection in multispectral data

Dalton Rosario, D. Rosario, 2006, SPIE Defense + Commercial Sensing.

A semiparametric approach using the discriminant metric SAM (spectral angle mapper)

Dalton Rosario, D. Rosario, 2004, SPIE Defense + Commercial Sensing.

Stochastic process modeling and Monte Carlo simulation: assisting higher-level decision making for aided target recognition networks

Dalton Rosario, D. Rosario, 2001, SPIE Defense + Commercial Sensing.

A covariance-based anomaly detector for polarimetric remote sensing applications

Dalton Rosario, Joao M. Romano, D. Rosario, 2014, Sensing Technologies + Applications.

Higher-order zero crossings for HSI ATD

Dalton Rosario, Nasser M. Nasrabadi, N. Nasrabadi, 2003, SPIE Defense + Commercial Sensing.

Multidimensional image processing for remote sensing anomaly detection

Dalton S. Rosario, João M. Romano, D. Rosario, 2010, 2010 2nd International Conference on Image Processing Theory, Tools and Applications.

Hyperspectral object tracking using small sample size

Henry Kling, Dalton Rosario, D. Rosario, 2010, Defense + Commercial Sensing.

Day/Night Polarimetric Anomaly Detection Using SPICE Imagery

Dalton Rosario, João M. Romano, James McCarthy, 2012, IEEE Transactions on Geoscience and Remote Sensing.

Hyperspectral target tracking

Dalton Rosario, D. Rosario, 2011, 2011 Aerospace Conference.

Characterizing the temporal and spatial variability of longwave infrared spectral images of targets and backgrounds

John P. Kerekes, Dalton Rosario, Nirmalan Jeganathan, 2017, Defense + Security.

A multistage framework for dismount spectral verification in the VNIR

Dalton Rosario, D. Rosario, 2013, Defense, Security, and Sensing.

Spectral Detection of Human Targets

Dalton Rosario, D. Rosario, 2012 .

VNIR data processing of small (human) targets

Dalton Rosario, D. Rosario, 2012, Defense + Commercial Sensing.

Spectral-elevation data registration using visible-SWIR spatial correspondence

Dalton Rosario, Anthony Ortiz, Anthony Ortiz, 2018, Defense + Security.

Image-based 3D model and hyperspectral data fusion for improved scene understanding

Olac Fuentes, Dalton S. Rosario, Anthony Ortiz, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Morphological Operators for Polarimetric Anomaly Detection

Edip Niver, Dalton S. Rosario, João M. Romano, 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Typical data models are inadequate for hypertemporal imagery

Dalton S. Rosario, João M. Romano, D. Rosario, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

The AsemiP anomaly detector: comparative performance in hyperspectral imagery

Ruben L. Galbraith, D. Rosario, 2005 .

Deep learning over diurnal and other environmental effects

Dalton Rosario, Patrick J. Rauss, D. Rosario, 2017, Defense + Security.