An integrated model of drilling vessel operations. - Susan E. Hoffman; Melba M. Crawford; James R. Wilson (WSC, 1983)

Adaptive parametric estimation and classification of remotely sensed imagery using a pyramid structure. - Kyungsook Kim; Melba M. Crawford (IEEE Trans. Geosci. Remote. Sens., 1991)

Anisotropic Diffusion Pyramids for Image Segmentation. - Scott T. Acton; Alan C. Bovik; Melba M. Crawford (ICIP (3), 1994)

Unsupervised Multistage Segmentation using Markov Random Field and Maximum Entropy Principle. - Sanghoon Lee 004; Melba M. Crawford (ICIP (2), 1994)

A versatile framework for labelling imagery with a large number of classes. - Shailesh Kumar; Melba M. Crawford; Joydeep Ghosh (IJCNN, 1999)

Fusion of airborne polarimetric and interferometric SAR for classification of coastal environments. - Melba M. Crawford; Shailesh Kumar; M. R. Ricard; James C. Gibeaut; Amy Neuenschwander (IEEE Trans. Geosci. Remote. Sens., 1999)

A Hierarchical Multiclassifier System for Hyperspectral Data Analysis. - Shailesh Kumar; Joydeep Ghosh; Melba M. Crawford (Multiple Classifier Systems, 2000)

Improved Accuracy for Interferometric Radar Images Using Polarimetric Radar and Laser Altimetry Data. - K. Clint Slatton; Melba M. Crawford; Brian L. Evans (SSIAI, 2000)

Unsupervised classification using spatial region growing segmentation and fuzzy training. - Sanghoon Lee 004; Melba M. Crawford (ICIP (1), 2001)

Best-bases feature extraction algorithms for classification of hyperspectral data. - Shailesh Kumar; Joydeep Ghosh; Melba M. Crawford (IEEE Trans. Geosci. Remote. Sens., 2001)

Introduction to the special issue on analysis of hyperspectral image data. - David A. Landgrebe; Sebastiano B. Serpico; Melba M. Crawford; Vern Singhroy (IEEE Trans. Geosci. Remote. Sens., 2001)

Fusing interferometric radar and laser altimeter data to estimate surface topography and vegetation heights. - K. Clint Slatton; Melba M. Crawford; Brian L. Evans (IEEE Trans. Geosci. Remote. Sens., 2001)

Best bases Bayesian hierarchical classifier for hyperspectral data analysis. - Joseph T. Morgan; Alex Henneguelle; Melba M. Crawford; Joydeep Ghosh; Amy L. Neuenschwander (IGARSS, 2002)

Monitoring of seasonal flooding in the Okavango Delta using EO-1 data. - Amy L. Neuenschwander; Melba M. Crawford; Susan Ringrose (IGARSS, 2002)

Multiscale fusion of INSAR data for improved topographic mapping. - K. Clint Slatton; Melba M. Crawford; Larry Teng (IGARSS, 2002)

Classification of LIDAR data using a lower envelope follower and gradient-based operator. - Christopher A. Weed; Melba M. Crawford; Amy L. Neuenschwander; Roberto Gutierrez (IGARSS, 2002)

Analysis of EO-1 ALI data to determine local impacts of Hurricane Iris on broadleaf forests in Belize, Central America. - William A. White 002; Melba M. Crawford; Sinan Erozurumlu; Thomas A. Tremblay; Jay A. Raney (IGARSS, 2002)

Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data. - Joseph T. Morgan; Alex Henneguelle; Melba M. Crawford; Joydeep Ghosh; Amy Neuenschwander (Multiple Classifier Systems, 2002)

Sensitivity Analysis of a Spatially-Adaptive Estimator for Data Fusion. - K. Clint Slatton; Melba M. Crawford; Brian L. Evans (SSIAI, 2002)

Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis. - Shailesh Kumar; Joydeep Ghosh; Melba M. Crawford (Pattern Anal. Appl., 2002)

Multitemporal classification of image series with seasonal variability using harmonic components. - Sanghoon Lee 004; Melba M. Crawford (IGARSS, 2003)

Adaptive feature selection for hyperspectral data analysis using a binary hierarchical classifier and tabu search. - Donna Korycinski; Melba M. Crawford; J. W. Barnes; Joydeep Ghosh (IGARSS, 2003)

Polyline Feature Extraction for Land Cover Classification using Hyperspectral Data. - Alex Henneguelle; Joydeep Ghosh; Melba M. Crawford (IICAI, 2003)

Model based simulation of multispectral images based on remotely sensed data. - Myunghee Jung; Melba M. Crawford (Simul. Model. Pract. Theory, 2003)

Foreword to the earth observing 1 special issue. - Jay S. Pearlman; Melba M. Crawford; David L. B. Jupp; Stephen G. Ungar (IEEE Trans. Geosci. Remote. Sens., 2003)

Integrating support vector machines in a hierarchical output space decomposition framework. - Yangchi Chen; Melba M. Crawford; Joydeep Ghosh (IGARSS, 2004)

Hierarchical clustering approach for unsupervised image classification of hyperspectral data. - Sanghoon Lee 004; Melba M. Crawford (IGARSS, 2004)

Adaptive Feature Spaces For Land Cover Classification With Limited Ground Truth Data. - Joseph T. Morgan; Jisoo Ham; Melba M. Crawford; Alex Henneguelle; Joydeep Ghosh (Int. J. Pattern Recognit. Artif. Intell., 2004)

Foreword to the Special Issue on Landsat Sensor Performance Characterization. - Brian L. Markham; James C. Storey; Melba M. Crawford; David G. Goodenough; James R. Irons (IEEE Trans. Geosci. Remote. Sens., 2004)

Applying nonlinear manifold learning to hyperspectral data for land cover classification. - Yangchi Chen; Melba M. Crawford; Joydeep Ghosh (IGARSS, 2005)

Development of laser waveform digitization for airborne LIDAR topographic mapping instrumentation. - Roberto Gutierrez; Amy Neuenschwander; Melba M. Crawford (IGARSS, 2005)

Investigation of the random forest framework for classification of hyperspectral data. - Jisoo Ham; Yangchi Chen; Melba M. Crawford; Joydeep Ghosh (IEEE Trans. Geosci. Remote. Sens., 2005)

Foreword to the Special Issue on Advances in Techniques for Analysis of Remotely Sensed Data. - John A. Richards; Melba M. Crawford; John P. Kerkes; Sebastiano B. Serpico; James C. Tilton (IEEE Trans. Geosci. Remote. Sens., 2005)

Unsupervised multistage image classification using hierarchical clustering with a bayesian similarity measure. - Sanghoon Lee 004; Melba M. Crawford (IEEE Trans. Image Process., 2005)

Improved Nonlinear Manifold Learning for Land Cover Classification via Intelligent Landmark Selection. - Yangchi Chen; Melba M. Crawford; Joydeep Ghosh (IGARSS, 2006)

An Active Learning Approach to Knowledge Transfer for Hyperspectral Data Analysis. - Suju Raj; Joydeep Ghosh; Melba M. Crawford (IGARSS, 2006)

Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data. - Suju Rajan; Joydeep Ghosh; Melba M. Crawford (IEEE Trans. Geosci. Remote. Sens., 2006)

Knowledge Based Stacking of Hyperspectral Data for Land Cover Classification. - Yangchi Chen; Melba M. Crawford; Joydeep Ghosh (CIDM, 2007)

Multiresolution manifold learning for classification of hyperspectral data. - Wonkook Kim; Yangchi Chen; Melba M. Crawford; James C. Tilton; Joydeep Ghosh (IGARSS, 2007)

Introduction for the Special Issue on Remote Sensing for Major Disaster Prevention, Monitoring, and Assessment. - Kun-Shan Chen; Melba M. Crawford; Paolo Gamba; James S. Smith (IEEE Trans. Geosci. Remote. Sens., 2007)

A Two-Stage Approach for Decomposition of ICESat Waveforms. - Jinha Jung; Melba M. Crawford (IGARSS (3), 2008)

Spatially Adapted Manifold Learning for Classification of Hyperspectral Imagery with Insufficient Labeled Data. - Wonkook Kim; Melba M. Crawford; Joydeep Ghosh (IGARSS (1), 2008)

Assessing Crop Residue Cover Using Hyperion Data. - James Monty; Craig S. T. Daughtry; Melba M. Crawford (IGARSS (2), 2008)

An Active Learning Approach to Hyperspectral Data Classification. - Suju Rajan; Joydeep Ghosh; Melba M. Crawford (IEEE Trans. Geosci. Remote. Sens., 2008)

Robust Estimation of Crop Residue Cover via Ulti/Hyperspectral Sensing. - James Monty; Melba M. Crawford; Craig S. T. Daughtry (IGARSS (5), 2009)

Manifold Learning for Multi-classifier Systems via Ensembles. - Melba M. Crawford; Wonkook Kim (MCS, 2009)

A novel adaptive classification method for hyperspectral data using manifold regularization kernel machines. - Wonkook Kim; Melba M. Crawford (WHISPERS, 2009)

Multi-view adaptive disagreement based active learning for hyperspectral image classification. - Wei Di; Melba M. Crawford (IGARSS, 2010)

Anomaly detection for hyperspectral images using local tangent space alignment. - Li Ma 005; Melba M. Crawford; Jinwen Tian (IGARSS, 2010)

Locally consistent graph regularization based active learning for hyperspectral image classification. - Wei Di; Melba M. Crawford (WHISPERS, 2010)

Foreword to the Special Issue on Hyperspectral Image and Signal Processing. - Jocelyn Chanussot; Melba M. Crawford; Bor-Chen Kuo (IEEE Trans. Geosci. Remote. Sens., 2010)

Adaptive Classification for Hyperspectral Image Data Using Manifold Regularization Kernel Machines. - Wonkook Kim; Melba M. Crawford (IEEE Trans. Geosci. Remote. Sens., 2010)

Local Manifold Learning-Based k -Nearest-Neighbor for Hyperspectral Image Classification. - Li Ma 005; Melba M. Crawford; Jinwen Tian (IEEE Trans. Geosci. Remote. Sens., 2010)

Critical class oriented active learning for hyperspectral image classification. - Wei Di; Melba M. Crawford (IGARSS, 2011)

Exploiting multisensor spectral data to improve crop residue cover estimates for management of agricultural water quality. - Magda S. Galloza; Melba M. Crawford (IGARSS, 2011)

Manifold alignment for multitemporal hyperspectral image classification. - Hsiuhan Lexie Yang; Melba M. Crawford (IGARSS, 2011)

Planery speaker: Nonlinear manifolds for feature extraction: Opportunities and challenge. - Melba M. Crawford; A. Alexander Held; James Burger (WHISPERS, 2011)

Manifold alignment for classification of multitemporal hyperspectral data. - Hsiuhan Lexie Yang; Melba M. Crawford (WHISPERS, 2011)

Active Learning via Multi-View and Local Proximity Co-Regularization for Hyperspectral Image Classification. - Wei Di; Melba M. Crawford (IEEE J. Sel. Top. Signal Process., 2011)

Landmark selection using homogeneity on nonlinear manifolds for unmixing hyperspectral data. - Junhwa Chi; Melba M. Crawford (IGARSS, 2012)

Exploiting spectral-spatial proximity for classification of hyperspectral data on manifolds. - Hsiuhan Lexie Yang; Melba M. Crawford (IGARSS, 2012)

Extraction of Features From LIDAR Waveform Data for Characterizing Forest Structure. - Jinha Jung; Melba M. Crawford (IEEE Geosci. Remote. Sens. Lett., 2012)

View Generation for Multiview Maximum Disagreement Based Active Learning for Hyperspectral Image Classification. - Wei Di; Melba M. Crawford (IEEE Trans. Geosci. Remote. Sens., 2012)

Application of remote sensing observations as APEX model input for estimating soil erosion. - Magda S. Galloza; Bernard A. Engel; Melba M. Crawford; Gary Heathman; Jimmy R. Williams (IGARSS, 2013)

Learning a joint manifold with global-local preservation for multitemporal hyperspectral image classification. - Hsiuhan Lexie Yang; Melba M. Crawford (IGARSS, 2013)

Multiple kernel active learning for robust geo-spatial image analysis. - Hsiuhan Lexie Yang; Yuhang Zhang 003; Saurabh Prasad; Melba M. Crawford (IGARSS, 2013)

Selection of Landmark Points on Nonlinear Manifolds for Spectral Unmixing Using Local Homogeneity. - Junhwa Chi; Melba M. Crawford (IEEE Geosci. Remote. Sens. Lett., 2013)

Active Learning: Any Value for Classification of Remotely Sensed Data? - Melba M. Crawford; Devis Tuia; Hsiuhan Lexie Yang (Proc. IEEE, 2013)

Feature Mining for Hyperspectral Image Classification. - Xiuping Jia; Bor-Chen Kuo; Melba M. Crawford (Proc. IEEE, 2013)

Crop Residue Modeling and Mapping Using Landsat, ALI, Hyperion and Airborne Remote Sensing Data. - Magda S. Galloza; Melba M. Crawford; Gary Heathman (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Wavelet domain active learning for robust classification of full-waveform LiDAR data. - Xiong Zhou; Saurabh Prasad; Melba M. Crawford (IGARSS, 2014)

Combining active and metric learning for hyperspectral image classification. - Edoardo Pasolli; Hsiuhan Lexie Yang; Melba M. Crawford (WHISPERS, 2014)

Spatial context driven manifold learning for hyperspectral image classification. - Yuhang Zhang 003; Hsiuhan Lexie Yang; Dalton D. Lunga; Saurabh Prasad; Melba M. Crawford (WHISPERS, 2014)

Wavelet domain multi-view active learning for hyperspectral image analysis. - Xiong Zhou; Saurabh Prasad; Melba M. Crawford (WHISPERS, 2014)

Active Landmark Sampling for Manifold Learning Based Spectral Unmixing. - Junhwa Chi; Melba M. Crawford (IEEE Geosci. Remote. Sens. Lett., 2014)

Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning. - Dalton D. Lunga; Saurabh Prasad; Melba M. Crawford; Okan K. Ersoy (IEEE Signal Process. Mag., 2014)

Spectral Unmixing-Based Crop Residue Estimation Using Hyperspectral Remote Sensing Data: A Case Study at Purdue University. - Junhwa Chi; Melba M. Crawford (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

A Framework for Land Cover Classification Using Discrete Return LiDAR Data: Adopting Pseudo-Waveform and Hierarchical Segmentation. - Jinha Jung; Edoardo Pasolli; Saurabh Prasad; James C. Tilton; Melba M. Crawford (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

An ensemble active learning approach for spectral-spatial classification of hyperspectral images. - Zhou Zhang 001; Melba M. Crawford (IGARSS, 2015)

Ensemble Multiple Kernel Active Learning For Classification of Multisource Remote Sensing Data. - Yuhang Zhang 003; Hsiuhan Lexie Yang; Saurabh Prasad; Edoardo Pasolli; Jinha Jung; Melba M. Crawford (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Local-Manifold-Learning-Based Graph Construction for Semisupervised Hyperspectral Image Classification. - Li Ma 005; Melba M. Crawford; Xiaoquan Yang; Yan Guo (IEEE Trans. Geosci. Remote. Sens., 2015)

Semi-supervised multi-metric active learning for classification of hyperspectral images. - Zhou Zhang 001; Melba M. Crawford (IGARSS, 2016)

A regularized multi-metric active learning framework for hyperspectral image classification. - Zhou Zhang 001; Melba M. Crawford (WHISPERS, 2016)

Multimetric Active Learning for Classification of Remote Sensing Data. - Zhou Zhang 001; Edoardo Pasolli; Hsiuhan Lexie Yang; Melba M. Crawford (IEEE Geosci. Remote. Sens. Lett., 2016)

Automated Ortho-Rectification of UAV-Based Hyperspectral Data over an Agricultural Field Using Frame RGB Imagery. - Ayman Habib 001; Youkyung Han; Weifeng Xiong; Fangning He; Zhou Zhang 001; Melba M. Crawford (Remote. Sens., 2016)

Domain Adaptation With Preservation of Manifold Geometry for Hyperspectral Image Classification. - Hsiuhan Lexie Yang; Melba M. Crawford (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation. - Zhou Zhang 001; Edoardo Pasolli; Melba M. Crawford; James C. Tilton (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Wavelet-Domain Multiview Active Learning for Spatial-Spectral Hyperspectral Image Classification. - Xiong Zhou; Saurabh Prasad; Melba M. Crawford (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Active-Metric Learning for Classification of Remotely Sensed Hyperspectral Images. - Edoardo Pasolli; Hsiuhan Lexie Yang; Melba M. Crawford (IEEE Trans. Geosci. Remote. Sens., 2016)

Spectral and Spatial Proximity-Based Manifold Alignment for Multitemporal Hyperspectral Image Classification. - Hsiuhan Lexie Yang; Melba M. Crawford (IEEE Trans. Geosci. Remote. Sens., 2016)

Extending out-of-sample manifold learning via meta-modelling techniques. - Gülsen Taskin Kaya; Melba M. Crawford (IGARSS, 2017)

Prediction of sorghum biomass based on image based features derived from time series of UAV images. - Zhou Zhang 001; Ali Masjedi; Jieqiong Zhao; Melba M. Crawford (IGARSS, 2017)

Improving Orthorectification of UAV-Based Push-Broom Scanner Imagery Using Derived Orthophotos From Frame Cameras. - Ayman Habib 001; Weifeng Xiong; Fangning He; Hsiuhan Lexie Yang; Melba M. Crawford (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Guest Editorial Computational Imaging for Earth Sciences. - Shuchin Aeron; Eric L. Miller 001; Melba M. Crawford; Alison Malcom; Andreas Reigber; Jocelyn Chanussot (IEEE Trans. Computational Imaging, 2017)

A Batch-Mode Regularized Multimetric Active Learning Framework for Classification of Hyperspectral Images. - Zhou Zhang 001; Melba M. Crawford (IEEE Trans. Geosci. Remote. Sens., 2017)

Multi-Sensor Integration Onboard a UAV-Based Mobile Mapping System for Agricultural Management. - Magdy Elbahnasawy; Tamer Shamseldin; Radhika Ravi; Tian Zhou 001; Yun-Jou Lin; Ali Masjedi; John Evan Flatt; Melba M. Crawford; Ayman Habib 001 (IGARSS, 2018)

Sorghum Biomass Prediction Using Uav-Based Remote Sensing Data and Crop Model Simulation. - Ali Masjedi; Jieqiong Zhao; Addie M. Thompson; Kai-Wei Yang; John E. Flatt; Melba M. Crawford; David S. Ebert; Mitchell R. Tuinstra; Graeme L. Hammer; Scott C. Chapman (IGARSS, 2018)

Implementation of UAV-Based Lidar for High Throughput Phenotyping. - Radhika Ravi; Yun-Jou Lin; Tamer Shamseldin; Magdy Elbahnasawy; Melba M. Crawford; Ayman Habib 001 (IGARSS, 2018)

Wheel-Based Lidar Data for Plant Height and Canopy Cover Evaluation to Aid Biomass Prediction. - Radhika Ravi; Yun-Jou Lin; Tamer Shamseldin; Magdy Elbahnasawy; Ali Masjedi; Melba M. Crawford; Ayman Habib 001 (IGARSS, 2018)

Active Manifold Learning for Hyperspectral Image Classification. - Zhou Zhang 001; Gülsen Taskin Kaya; Melba M. Crawford (IGARSS, 2018)

Boresight Calibration of GNSS/INS-Assisted Push-Broom Hyperspectral Scanners on UAV Platforms. - Ayman Habib 001; Tian Zhou 001; Ali Masjedi; Zhou Zhang 001; John Evan Flatt; Melba M. Crawford (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Prediction of Sorghum Biomass Using Uav Time Series Data and Recurrent Neural Networks. - Ali Masjedi; Neal R. Carpenter; Melba M. Crawford; Mitchell R. Tuinstra (CVPR Workshops, 2019)

FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images. - Jieqiong Zhao; Morteza Karimzadeh; Ali Masjedi; Taojun Wang; Xiwen Zhang; Melba M. Crawford; David S. Ebert (IEEE VIS (Short Papers), 2019)

Centroid and Covariance Alignment-Based Domain Adaptation for Unsupervised Classification of Remote Sensing Images. - Li Ma 005; Melba M. Crawford; Lei Zhu; Yong Liu (IEEE Trans. Geosci. Remote. Sens., 2019)

An Out-of-Sample Extension to Manifold Learning via Meta-Modeling. - Gülsen Taskin Kaya; Melba M. Crawford (IEEE Trans. Image Process., 2019)

Deep Transfer Learning For Plant Center Localization. - Enyu Cai; Sriram Baireddy; Changye Yang; Melba M. Crawford; Edward J. Delp (CVPR Workshops, 2020)

A Weakly Supervised Deep Learning Approach for Plant Center Detection and Counting. - Azam Karami; Melba M. Crawford; Edward J. Delp (IGARSS, 2020)

PREDICTION OF SORGHUM BIOMASS USING TIME SERIES UAV-BASED HYPERSPECTRAL AND LIDAR DATA. - Ali Masjedi; Melba M. Crawford (IGARSS, 2020)

Multi-Temporal Predictive Modelling of Sorghum Biomass Using UAV-Based Hyperspectral and LiDAR Data. - Ali Masjedi; Melba M. Crawford; Neal R. Carpenter; Mitchell R. Tuinstra (Remote. Sens., 2020)

Automatic Plant Counting and Location Based on a Few-Shot Learning Technique. - Azam Karami; Melba M. Crawford; Edward J. Delp (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

An Adaptive Multiview Active Learning Approach for Spectral-Spatial Classification of Hyperspectral Images. - Zhou Zhang 001; Edoardo Pasolli; Melba M. Crawford (IEEE Trans. Geosci. Remote. Sens., 2020)

Field-Based Plot Extraction Using UAV RGB Images. - Changye Yang; Sriram Baireddy; Enyu Cai; Melba M. Crawford; Edward J. Delp (ICCVW, 2021)

Panicle Counting in UAV Images for Estimating Flowering Time in Sorghum. - Enyu Cai; Sriram Baireddy; Changye Yang; Edward J. Delp; Melba M. Crawford (IGARSS, 2021)

Multi-Year Sorghum Biomass Prediction with UAV-Based Remote Sensing Data. - Taojun Wang; Melba M. Crawford (IGARSS, 2021)

Strong sensitivity of watershed-scale, ecohydrologic model predictions to soil moisture. - Garett Pignotti; Hendrik Rathjens; Indrajeet Chaubey; Mark Williams; Melba M. Crawford (Environ. Model. Softw., 2021)

Advancing Tassel Detection and Counting: Annotation and Algorithms. - Azam Karami; Karoll Quijano; Melba M. Crawford (Remote. Sens., 2021)

New Orthophoto Generation Strategies from UAV and Ground Remote Sensing Platforms for High-Throughput Phenotyping. - Yi-Chun Lin; Tian Zhou 001; Taojun Wang; Melba M. Crawford; Ayman Habib 001 (Remote. Sens., 2021)

Hyperspectral Indices for Predicting Nitrogen Use Efficiency in Maize Hybrids. - Monica B. Olson; Melba M. Crawford; Tony J. Vyn (Remote. Sens., 2022)

Predicting Nitrogen Efficiencies in Mature Maize with Parametric Models Employing In-Season Hyperspectral Imaging. - Monica B. Olson; Melba M. Crawford; Tony J. Vyn (Remote. Sens., 2022)

YOLOv5-Tassel: Detecting Tassels in RGB UAV Imagery With Improved YOLOv5 Based on Transfer Learning. - Wei Liu 110; Karoll Quijano; Melba M. Crawford (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Curvature Filters-Based Multiscale Feature Extraction for Hyperspectral Image Classification. - Qiaobo Hao; Bin Sun 001; Shutao Li; Melba M. Crawford; Xudong Kang (IEEE Trans. Geosci. Remote. Sens., 2022)

CNN-Mixer Hierarchical Spectral Transformer for Hyperspectral Image Classification. - Wei Li 032; Saurabh Prasad; Melba M. Crawford (IGARSS, 2023)

Adversarial Discriminative Knowledge Transfer with a Multi-Class Discriminator for Robust Geoai. - Anan Yaghmour; Saurabh Prasad; Melba M. Crawford (IGARSS, 2023)

Foreword. - Jón Atli Benediktsson; Melba M. Crawford; John P. Kerekes; Jie Shan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Attention Guided Semisupervised Generative Transfer Learning for Hyperspectral Image Analysis. - Anan Yaghmour; Saurabh Prasad; Melba M. Crawford (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Investigation of Hierarchical Spectral Vision Transformer Architecture for Classification of Hyperspectral Imagery. - Wei Liu 110; Saurabh Prasad; Melba M. Crawford (IEEE Trans. Geosci. Remote. Sens., 2024)

A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation via Synergistic Pseudo-Labeling and Generative Learning. - Anan Yaghmour; Melba M. Crawford; Saurabh Prasad (CVPR Workshops, 2025)

A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative Learning. - Anan Yaghmour; Melba M. Crawford; Saurabh Prasad (CoRR, 2025)