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

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

Investigation of Hierarchical Spectral Vision Transformer Architecture for Classification of Hyperspectral Imagery. - Liu, Wei; Prasad, Saurabh; Crawford, Melba M. (CoRR, 2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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