Melba M. Crawford

132 papers B 1C 41Misc 1Journal 63Unranked 26

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation via Synergistic Pseudo-Labeling and Generative Learning. CVPR Workshops Anan Yaghmour, Melba M. Crawford, Saurabh Prasad
2025	J	`jnl`	A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative Learning. CoRR Anan Yaghmour, Melba M. Crawford, Saurabh Prasad
2024	J	`jnl`	Attention Guided Semisupervised Generative Transfer Learning for Hyperspectral Image Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Anan Yaghmour, Saurabh Prasad, Melba M. Crawford
2024	J	`jnl`	Investigation of Hierarchical Spectral Vision Transformer Architecture for Classification of Hyperspectral Imagery. CoRR Wei Liu, Saurabh Prasad, Melba M. Crawford
2024	J	`jnl`	Investigation of Hierarchical Spectral Vision Transformer Architecture for Classification of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. Wei Liu, Saurabh Prasad, Melba M. Crawford
2023	C	`conf`	Adversarial Discriminative Knowledge Transfer with a Multi-Class Discriminator for Robust Geoai. IGARSS Anan Yaghmour, Saurabh Prasad, Melba M. Crawford
2023	C	`conf`	CNN-Mixer Hierarchical Spectral Transformer for Hyperspectral Image Classification. IGARSS Wei Li, Saurabh Prasad, Melba M. Crawford
2023	J	`jnl`	Foreword. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Jón Atli Benediktsson, Melba M. Crawford, John P. Kerekes, Jie Shan
2022	J	`jnl`	Curvature Filters-Based Multiscale Feature Extraction for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Qiaobo Hao, Bin Sun, Shutao Li, Melba M. Crawford, Xudong Kang
2022	J	`jnl`	Hyperspectral Indices for Predicting Nitrogen Use Efficiency in Maize Hybrids. Remote. Sens. Monica B. Olson, Melba M. Crawford, Tony J. Vyn
2022	J	`jnl`	Predicting Nitrogen Efficiencies in Mature Maize with Parametric Models Employing In-Season Hyperspectral Imaging. Remote. Sens. Monica B. Olson, Melba M. Crawford, Tony J. Vyn
2022	J	`jnl`	YOLOv5-Tassel: Detecting Tassels in RGB UAV Imagery With Improved YOLOv5 Based on Transfer Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Wei Liu, Karoll Quijano, Melba M. Crawford
2021	J	`jnl`	Advancing Tassel Detection and Counting: Annotation and Algorithms. Remote. Sens. Azam Karami, Karoll Quijano, Melba M. Crawford
2021	—	`conf`	Field-Based Plot Extraction Using UAV RGB Images. ICCVW Changye Yang, Sriram Baireddy, Enyu Cai, Melba M. Crawford, Edward J. Delp
2021	J	`jnl`	Field-Based Plot Extraction Using UAV RGB Images. CoRR Changye Yang, Sriram Baireddy, Enyu Cai, Melba M. Crawford, Edward J. Delp
2021	C	`conf`	Multi-Year Sorghum Biomass Prediction with UAV-Based Remote Sensing Data. IGARSS Taojun Wang, Melba M. Crawford
2021	J	`jnl`	New Orthophoto Generation Strategies from UAV and Ground Remote Sensing Platforms for High-Throughput Phenotyping. Remote. Sens. Yi-Chun Lin, Tian Zhou, Taojun Wang, Melba M. Crawford, Ayman Habib
2021	C	`conf`	Panicle Counting in UAV Images for Estimating Flowering Time in Sorghum. IGARSS Enyu Cai, Sriram Baireddy, Changye Yang, Edward J. Delp, Melba M. Crawford
2021	J	`jnl`	Strong sensitivity of watershed-scale, ecohydrologic model predictions to soil moisture. Environ. Model. Softw. Garett Pignotti, Hendrik Rathjens, Indrajeet Chaubey, Mark Williams, Melba M. Crawford
2020	C	`conf`	A Weakly Supervised Deep Learning Approach for Plant Center Detection and Counting. IGARSS Azam Karami, Melba M. Crawford, Edward J. Delp
2020	J	`jnl`	An Adaptive Multiview Active Learning Approach for Spectral-Spatial Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. Zhou Zhang, Edoardo Pasolli, Melba M. Crawford
2020	J	`jnl`	Automatic Plant Counting and Location Based on a Few-Shot Learning Technique. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Azam Karami, Melba M. Crawford, Edward J. Delp
2020	—	`conf`	Deep Transfer Learning For Plant Center Localization. CVPR Workshops Enyu Cai, Sriram Baireddy, Changye Yang, Melba M. Crawford, Edward J. Delp
2020	J	`jnl`	Deep Transfer Learning For Plant Center Localization. CoRR Enyu Cai, Sriram Baireddy, Changye Yang, Melba M. Crawford, Edward J. Delp
2020	J	`jnl`	Multi-Temporal Predictive Modelling of Sorghum Biomass Using UAV-Based Hyperspectral and LiDAR Data. Remote. Sens. Ali Masjedi, Melba M. Crawford, Neal R. Carpenter, Mitchell R. Tuinstra
2020	C	`conf`	PREDICTION OF SORGHUM BIOMASS USING TIME SERIES UAV-BASED HYPERSPECTRAL AND LIDAR DATA. IGARSS Ali Masjedi, Melba M. Crawford
2019	J	`jnl`	An Out-of-Sample Extension to Manifold Learning via Meta-Modeling. IEEE Trans. Image Process. Gülsen Taskin Kaya, Melba M. Crawford
2019	J	`jnl`	Centroid and Covariance Alignment-Based Domain Adaptation for Unsupervised Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Li Ma, Melba M. Crawford, Lei Zhu, Yong Liu
2019	—	`conf`	FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images. IEEE VIS (Short Papers) Jieqiong Zhao, Morteza Karimzadeh, Ali Masjedi, Taojun Wang, Xiwen Zhang, Melba M. Crawford, David S. Ebert
2019	J	`jnl`	FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images. CoRR Jieqiong Zhao, Morteza Karimzadeh, Ali Masjedi, Taojun Wang, Xiwen Zhang, Melba M. Crawford, David S. Ebert
2019	—	`conf`	Prediction of Sorghum Biomass Using Uav Time Series Data and Recurrent Neural Networks. CVPR Workshops Ali Masjedi, Neal R. Carpenter, Melba M. Crawford, Mitchell R. Tuinstra
2018	C	`conf`	Active Manifold Learning for Hyperspectral Image Classification. IGARSS Zhou Zhang, Gülsen Taskin Kaya, Melba M. Crawford
2018	J	`jnl`	Boresight Calibration of GNSS/INS-Assisted Push-Broom Hyperspectral Scanners on UAV Platforms. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Ayman Habib, Tian Zhou, Ali Masjedi, Zhou Zhang, John Evan Flatt, Melba M. Crawford
2018	C	`conf`	Implementation of UAV-Based Lidar for High Throughput Phenotyping. IGARSS Radhika Ravi, Yun-Jou Lin, Tamer Shamseldin, Magdy Elbahnasawy, Melba M. Crawford, Ayman Habib
2018	C	`conf`	Multi-Sensor Integration Onboard a UAV-Based Mobile Mapping System for Agricultural Management. IGARSS Magdy Elbahnasawy, Tamer Shamseldin, Radhika Ravi, Tian Zhou, Yun-Jou Lin, Ali Masjedi, John Evan Flatt, Melba M. Crawford, Ayman Habib
2018	C	`conf`	Sorghum Biomass Prediction Using Uav-Based Remote Sensing Data and Crop Model Simulation. IGARSS 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
2018	C	`conf`	Wheel-Based Lidar Data for Plant Height and Canopy Cover Evaluation to Aid Biomass Prediction. IGARSS Radhika Ravi, Yun-Jou Lin, Tamer Shamseldin, Magdy Elbahnasawy, Ali Masjedi, Melba M. Crawford, Ayman Habib
2017	J	`jnl`	A Batch-Mode Regularized Multimetric Active Learning Framework for Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. Zhou Zhang, Melba M. Crawford
2017	C	`conf`	Extending out-of-sample manifold learning via meta-modelling techniques. IGARSS Gülsen Taskin Kaya, Melba M. Crawford
2017	J	`jnl`	Guest Editorial Computational Imaging for Earth Sciences. IEEE Trans. Computational Imaging Shuchin Aeron, Eric L. Miller, Melba M. Crawford, Alison Malcom, Andreas Reigber, Jocelyn Chanussot
2017	J	`jnl`	Improving Orthorectification of UAV-Based Push-Broom Scanner Imagery Using Derived Orthophotos From Frame Cameras. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Ayman Habib, Weifeng Xiong, Fangning He, Hsiuhan Lexie Yang, Melba M. Crawford
2017	C	`conf`	Prediction of sorghum biomass based on image based features derived from time series of UAV images. IGARSS Zhou Zhang, Ali Masjedi, Jieqiong Zhao, Melba M. Crawford
2016	—	`conf`	A regularized multi-metric active learning framework for hyperspectral image classification. WHISPERS Zhou Zhang, Melba M. Crawford
2016	J	`jnl`	Active-Metric Learning for Classification of Remotely Sensed Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. Edoardo Pasolli, Hsiuhan Lexie Yang, Melba M. Crawford
2016	J	`jnl`	An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Zhou Zhang, Edoardo Pasolli, Melba M. Crawford, James C. Tilton
2016	J	`jnl`	Automated Ortho-Rectification of UAV-Based Hyperspectral Data over an Agricultural Field Using Frame RGB Imagery. Remote. Sens. Ayman Habib, Youkyung Han, Weifeng Xiong, Fangning He, Zhou Zhang, Melba M. Crawford
2016	J	`jnl`	Domain Adaptation With Preservation of Manifold Geometry for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hsiuhan Lexie Yang, Melba M. Crawford
2016	J	`jnl`	Multimetric Active Learning for Classification of Remote Sensing Data. IEEE Geosci. Remote. Sens. Lett. Zhou Zhang, Edoardo Pasolli, Hsiuhan Lexie Yang, Melba M. Crawford
2016	C	`conf`	Semi-supervised multi-metric active learning for classification of hyperspectral images. IGARSS Zhou Zhang, Melba M. Crawford
2016	J	`jnl`	Spectral and Spatial Proximity-Based Manifold Alignment for Multitemporal Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Hsiuhan Lexie Yang, Melba M. Crawford
2016	J	`jnl`	Wavelet-Domain Multiview Active Learning for Spatial-Spectral Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xiong Zhou, Saurabh Prasad, Melba M. Crawford
2015	C	`conf`	An ensemble active learning approach for spectral-spatial classification of hyperspectral images. IGARSS Zhou Zhang, Melba M. Crawford
2015	J	`jnl`	Ensemble Multiple Kernel Active Learning For Classification of Multisource Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yuhang Zhang, Hsiuhan Lexie Yang, Saurabh Prasad, Edoardo Pasolli, Jinha Jung, Melba M. Crawford
2015	J	`jnl`	Local-Manifold-Learning-Based Graph Construction for Semisupervised Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Li Ma, Melba M. Crawford, Xiaoquan Yang, Yan Guo
2014	J	`jnl`	A Framework for Land Cover Classification Using Discrete Return LiDAR Data: Adopting Pseudo-Waveform and Hierarchical Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Jinha Jung, Edoardo Pasolli, Saurabh Prasad, James C. Tilton, Melba M. Crawford
2014	J	`jnl`	Active Landmark Sampling for Manifold Learning Based Spectral Unmixing. IEEE Geosci. Remote. Sens. Lett. Junhwa Chi, Melba M. Crawford
2014	—	`conf`	Combining active and metric learning for hyperspectral image classification. WHISPERS Edoardo Pasolli, Hsiuhan Lexie Yang, Melba M. Crawford
2014	J	`jnl`	Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning. IEEE Signal Process. Mag. Dalton D. Lunga, Saurabh Prasad, Melba M. Crawford, Okan K. Ersoy
2014	—	`conf`	Spatial context driven manifold learning for hyperspectral image classification. WHISPERS Yuhang Zhang, Hsiuhan Lexie Yang, Dalton D. Lunga, Saurabh Prasad, Melba M. Crawford
2014	J	`jnl`	Spectral Unmixing-Based Crop Residue Estimation Using Hyperspectral Remote Sensing Data: A Case Study at Purdue University. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Junhwa Chi, Melba M. Crawford
2014	C	`conf`	Wavelet domain active learning for robust classification of full-waveform LiDAR data. IGARSS Xiong Zhou, Saurabh Prasad, Melba M. Crawford
2014	—	`conf`	Wavelet domain multi-view active learning for hyperspectral image analysis. WHISPERS Xiong Zhou, Saurabh Prasad, Melba M. Crawford
2013	J	`jnl`	Active Learning: Any Value for Classification of Remotely Sensed Data? Proc. IEEE Melba M. Crawford, Devis Tuia, Hsiuhan Lexie Yang
2013	C	`conf`	Application of remote sensing observations as APEX model input for estimating soil erosion. IGARSS Magda S. Galloza, Bernard A. Engel, Melba M. Crawford, Gary Heathman, Jimmy R. Williams
2013	J	`jnl`	Crop Residue Modeling and Mapping Using Landsat, ALI, Hyperion and Airborne Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Magda S. Galloza, Melba M. Crawford, Gary Heathman
2013	J	`jnl`	Feature Mining for Hyperspectral Image Classification. Proc. IEEE Xiuping Jia, Bor-Chen Kuo, Melba M. Crawford
2013	C	`conf`	Learning a joint manifold with global-local preservation for multitemporal hyperspectral image classification. IGARSS Hsiuhan Lexie Yang, Melba M. Crawford
2013	C	`conf`	Multiple kernel active learning for robust geo-spatial image analysis. IGARSS Hsiuhan Lexie Yang, Yuhang Zhang, Saurabh Prasad, Melba M. Crawford
2013	J	`jnl`	Selection of Landmark Points on Nonlinear Manifolds for Spectral Unmixing Using Local Homogeneity. IEEE Geosci. Remote. Sens. Lett. Junhwa Chi, Melba M. Crawford
2012	C	`conf`	Exploiting spectral-spatial proximity for classification of hyperspectral data on manifolds. IGARSS Hsiuhan Lexie Yang, Melba M. Crawford
2012	J	`jnl`	Extraction of Features From LIDAR Waveform Data for Characterizing Forest Structure. IEEE Geosci. Remote. Sens. Lett. Jinha Jung, Melba M. Crawford
2012	C	`conf`	Landmark selection using homogeneity on nonlinear manifolds for unmixing hyperspectral data. IGARSS Junhwa Chi, Melba M. Crawford
2012	J	`jnl`	View Generation for Multiview Maximum Disagreement Based Active Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Wei Di, Melba M. Crawford
2011	J	`jnl`	Active Learning via Multi-View and Local Proximity Co-Regularization for Hyperspectral Image Classification. IEEE J. Sel. Top. Signal Process. Wei Di, Melba M. Crawford
2011	C	`conf`	Critical class oriented active learning for hyperspectral image classification. IGARSS Wei Di, Melba M. Crawford
2011	C	`conf`	Exploiting multisensor spectral data to improve crop residue cover estimates for management of agricultural water quality. IGARSS Magda S. Galloza, Melba M. Crawford
2011	—	`conf`	Manifold alignment for classification of multitemporal hyperspectral data. WHISPERS Hsiuhan Lexie Yang, Melba M. Crawford
2011	C	`conf`	Manifold alignment for multitemporal hyperspectral image classification. IGARSS Hsiuhan Lexie Yang, Melba M. Crawford
2011	—	`conf`	Planery speaker: Nonlinear manifolds for feature extraction: Opportunities and challenge. WHISPERS Melba M. Crawford, A. Alexander Held, James Burger
2010	J	`jnl`	Adaptive Classification for Hyperspectral Image Data Using Manifold Regularization Kernel Machines. IEEE Trans. Geosci. Remote. Sens. Wonkook Kim, Melba M. Crawford
2010	C	`conf`	Anomaly detection for hyperspectral images using local tangent space alignment. IGARSS Li Ma, Melba M. Crawford, Jinwen Tian
2010	J	`jnl`	Foreword to the Special Issue on Hyperspectral Image and Signal Processing. IEEE Trans. Geosci. Remote. Sens. Jocelyn Chanussot, Melba M. Crawford, Bor-Chen Kuo
2010	J	`jnl`	Local Manifold Learning-Based k -Nearest-Neighbor for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Li Ma, Melba M. Crawford, Jinwen Tian
2010	—	`conf`	Locally consistent graph regularization based active learning for hyperspectral image classification. WHISPERS Wei Di, Melba M. Crawford
2010	C	`conf`	Multi-view adaptive disagreement based active learning for hyperspectral image classification. IGARSS Wei Di, Melba M. Crawford
2009	—	`conf`	A novel adaptive classification method for hyperspectral data using manifold regularization kernel machines. WHISPERS Wonkook Kim, Melba M. Crawford
2009	—	`conf`	Manifold Learning for Multi-classifier Systems via Ensembles. MCS Melba M. Crawford, Wonkook Kim
2009	—	`conf`	Robust Estimation of Crop Residue Cover via Ulti/Hyperspectral Sensing. IGARSS (5) James Monty, Melba M. Crawford, Craig S. T. Daughtry
2008	—	`conf`	A Two-Stage Approach for Decomposition of ICESat Waveforms. IGARSS (3) Jinha Jung, Melba M. Crawford
2008	J	`jnl`	An Active Learning Approach to Hyperspectral Data Classification. IEEE Trans. Geosci. Remote. Sens. Suju Rajan, Joydeep Ghosh, Melba M. Crawford
2008	—	`conf`	Assessing Crop Residue Cover Using Hyperion Data. IGARSS (2) James Monty, Craig S. T. Daughtry, Melba M. Crawford
2008	—	`conf`	Spatially Adapted Manifold Learning for Classification of Hyperspectral Imagery with Insufficient Labeled Data. IGARSS (1) Wonkook Kim, Melba M. Crawford, Joydeep Ghosh
2007	J	`jnl`	Introduction for the Special Issue on Remote Sensing for Major Disaster Prevention, Monitoring, and Assessment. IEEE Trans. Geosci. Remote. Sens. Kun-Shan Chen, Melba M. Crawford, Paolo Gamba, James S. Smith
2007	C	`conf`	Knowledge Based Stacking of Hyperspectral Data for Land Cover Classification. CIDM Yangchi Chen, Melba M. Crawford, Joydeep Ghosh
2007	C	`conf`	Multiresolution manifold learning for classification of hyperspectral data. IGARSS Wonkook Kim, Yangchi Chen, Melba M. Crawford, James C. Tilton, Joydeep Ghosh
2006	C	`conf`	An Active Learning Approach to Knowledge Transfer for Hyperspectral Data Analysis. IGARSS Suju Raj, Joydeep Ghosh, Melba M. Crawford
2006	J	`jnl`	Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. Suju Rajan, Joydeep Ghosh, Melba M. Crawford
2006	C	`conf`	Improved Nonlinear Manifold Learning for Land Cover Classification via Intelligent Landmark Selection. IGARSS Yangchi Chen, Melba M. Crawford, Joydeep Ghosh
2005	C	`conf`	Applying nonlinear manifold learning to hyperspectral data for land cover classification. IGARSS Yangchi Chen, Melba M. Crawford, Joydeep Ghosh
2005	C	`conf`	Development of laser waveform digitization for airborne LIDAR topographic mapping instrumentation. IGARSS Roberto Gutierrez, Amy Neuenschwander, Melba M. Crawford
2005	J	`jnl`	Foreword to the Special Issue on Advances in Techniques for Analysis of Remotely Sensed Data. IEEE Trans. Geosci. Remote. Sens. John A. Richards, Melba M. Crawford, John P. Kerkes, Sebastiano B. Serpico, James C. Tilton
2005	J	`jnl`	Investigation of the random forest framework for classification of hyperspectral data. IEEE Trans. Geosci. Remote. Sens. Jisoo Ham, Yangchi Chen, Melba M. Crawford, Joydeep Ghosh
2005	J	`jnl`	Unsupervised multistage image classification using hierarchical clustering with a bayesian similarity measure. IEEE Trans. Image Process. Sanghoon Lee, Melba M. Crawford
2004	J	`jnl`	Adaptive Feature Spaces For Land Cover Classification With Limited Ground Truth Data. Int. J. Pattern Recognit. Artif. Intell. Joseph T. Morgan, Jisoo Ham, Melba M. Crawford, Alex Henneguelle, Joydeep Ghosh
2004	J	`jnl`	Foreword to the Special Issue on Landsat Sensor Performance Characterization. IEEE Trans. Geosci. Remote. Sens. Brian L. Markham, James C. Storey, Melba M. Crawford, David G. Goodenough, James R. Irons
2004	C	`conf`	Hierarchical clustering approach for unsupervised image classification of hyperspectral data. IGARSS Sanghoon Lee, Melba M. Crawford
2004	C	`conf`	Integrating support vector machines in a hierarchical output space decomposition framework. IGARSS Yangchi Chen, Melba M. Crawford, Joydeep Ghosh
2003	C	`conf`	Adaptive feature selection for hyperspectral data analysis using a binary hierarchical classifier and tabu search. IGARSS Donna Korycinski, Melba M. Crawford, J. W. Barnes, Joydeep Ghosh
2003	J	`jnl`	Foreword to the earth observing 1 special issue. IEEE Trans. Geosci. Remote. Sens. Jay S. Pearlman, Melba M. Crawford, David L. B. Jupp, Stephen G. Ungar
2003	J	`jnl`	Model based simulation of multispectral images based on remotely sensed data. Simul. Model. Pract. Theory Myunghee Jung, Melba M. Crawford
2003	C	`conf`	Multitemporal classification of image series with seasonal variability using harmonic components. IGARSS Sanghoon Lee, Melba M. Crawford
2003	—	`conf`	Polyline Feature Extraction for Land Cover Classification using Hyperspectral Data. IICAI Alex Henneguelle, Joydeep Ghosh, Melba M. Crawford
2002	—	`conf`	Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data. Multiple Classifier Systems Joseph T. Morgan, Alex Henneguelle, Melba M. Crawford, Joydeep Ghosh, Amy Neuenschwander
2002	C	`conf`	Analysis of EO-1 ALI data to determine local impacts of Hurricane Iris on broadleaf forests in Belize, Central America. IGARSS William A. White, Melba M. Crawford, Sinan Erozurumlu, Thomas A. Tremblay, Jay A. Raney
2002	C	`conf`	Best bases Bayesian hierarchical classifier for hyperspectral data analysis. IGARSS Joseph T. Morgan, Alex Henneguelle, Melba M. Crawford, Joydeep Ghosh, Amy L. Neuenschwander
2002	C	`conf`	Classification of LIDAR data using a lower envelope follower and gradient-based operator. IGARSS Christopher A. Weed, Melba M. Crawford, Amy L. Neuenschwander, Roberto Gutierrez
2002	J	`jnl`	Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis. Pattern Anal. Appl. Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford
2002	C	`conf`	Monitoring of seasonal flooding in the Okavango Delta using EO-1 data. IGARSS Amy L. Neuenschwander, Melba M. Crawford, Susan Ringrose
2002	C	`conf`	Multiscale fusion of INSAR data for improved topographic mapping. IGARSS K. Clint Slatton, Melba M. Crawford, Larry Teng
2002	—	`conf`	Sensitivity Analysis of a Spatially-Adaptive Estimator for Data Fusion. SSIAI K. Clint Slatton, Melba M. Crawford, Brian L. Evans
2001	J	`jnl`	Best-bases feature extraction algorithms for classification of hyperspectral data. IEEE Trans. Geosci. Remote. Sens. Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford
2001	J	`jnl`	Fusing interferometric radar and laser altimeter data to estimate surface topography and vegetation heights. IEEE Trans. Geosci. Remote. Sens. K. Clint Slatton, Melba M. Crawford, Brian L. Evans
2001	J	`jnl`	Introduction to the special issue on analysis of hyperspectral image data. IEEE Trans. Geosci. Remote. Sens. David A. Landgrebe, Sebastiano B. Serpico, Melba M. Crawford, Vern Singhroy
2001	—	`conf`	Unsupervised classification using spatial region growing segmentation and fuzzy training. ICIP (1) Sanghoon Lee, Melba M. Crawford
2000	—	`conf`	A Hierarchical Multiclassifier System for Hyperspectral Data Analysis. Multiple Classifier Systems Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford
2000	—	`conf`	Improved Accuracy for Interferometric Radar Images Using Polarimetric Radar and Laser Altimetry Data. SSIAI K. Clint Slatton, Melba M. Crawford, Brian L. Evans
1999	B	`conf`	A versatile framework for labelling imagery with a large number of classes. IJCNN Shailesh Kumar, Melba M. Crawford, Joydeep Ghosh
1999	J	`jnl`	Fusion of airborne polarimetric and interferometric SAR for classification of coastal environments. IEEE Trans. Geosci. Remote. Sens. Melba M. Crawford, Shailesh Kumar, M. R. Ricard, James C. Gibeaut, Amy Neuenschwander
1994	—	`conf`	Anisotropic Diffusion Pyramids for Image Segmentation. ICIP (3) Scott T. Acton, Alan C. Bovik, Melba M. Crawford
1994	—	`conf`	Unsupervised Multistage Segmentation using Markov Random Field and Maximum Entropy Principle. ICIP (2) Sanghoon Lee, Melba M. Crawford
1991	J	`jnl`	Adaptive parametric estimation and classification of remotely sensed imagery using a pyramid structure. IEEE Trans. Geosci. Remote. Sens. Kyungsook Kim, Melba M. Crawford
1983	Misc	`conf`	An integrated model of drilling vessel operations. WSC Susan E. Hoffman, Melba M. Crawford, James R. Wilson