Melba M. Crawford

According to our database, Melba M. Crawford authored at least 126 papers between 1983 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Investigation of Hierarchical Spectral Vision Transformer Architecture for Classification of Hyperspectral Imagery.

Wei Liu, Saurabh Prasad, Melba M. Crawford

IEEE Trans. Geosci. Remote. Sens., 2024

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

2023

Foreword.

Jón Atli Benediktsson, Melba M. Crawford, John P. Kerekes, Jie Shan

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Adversarial Discriminative Knowledge Transfer with a Multi-Class Discriminator for Robust Geoai.

Anan Yaghmour, Saurabh Prasad, Melba M. Crawford

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

CNN-Mixer Hierarchical Spectral Transformer for Hyperspectral Image Classification.

Wei Li, Saurabh Prasad, Melba M. Crawford

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Curvature Filters-Based Multiscale Feature Extraction for Hyperspectral Image Classification.

Qiaobo Hao, Bin Sun, Shutao Li, Melba M. Crawford, Xudong Kang

IEEE Trans. Geosci. Remote. Sens., 2022

YOLOv5-Tassel: Detecting Tassels in RGB UAV Imagery With Improved YOLOv5 Based on Transfer Learning.

Wei Liu, Karoll Quijano, Melba M. Crawford

IEEE J. Sel. Top. Appl. Earth Obs. 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

Hyperspectral Indices for Predicting Nitrogen Use Efficiency in Maize Hybrids.

Monica B. Olson, Melba M. Crawford, Tony J. Vyn

Remote. Sens., 2022

2021

New Orthophoto Generation Strategies from UAV and Ground Remote Sensing Platforms for High-Throughput Phenotyping.

Yi-Chun Lin, Tian Zhou, Taojun Wang, Melba M. Crawford, Ayman Habib

Remote. Sens., 2021

Advancing Tassel Detection and Counting: Annotation and Algorithms.

Azam Karami, Karoll Quijano, Melba M. Crawford

Remote. Sens., 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

Multi-Year Sorghum Biomass Prediction with UAV-Based Remote Sensing Data.

Taojun Wang, Melba M. Crawford

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Panicle Counting in UAV Images for Estimating Flowering Time in Sorghum.

Enyu Cai, Sriram Baireddy, Changye Yang, Edward J. Delp, Melba M. Crawford

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Field-Based Plot Extraction Using UAV RGB Images.

Changye Yang, Sriram Baireddy, Enyu Cai, Melba M. Crawford, Edward J. Delp

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

An Adaptive Multiview Active Learning Approach for Spectral-Spatial Classification of Hyperspectral Images.

Zhou Zhang, Edoardo Pasolli, Melba M. Crawford

IEEE Trans. Geosci. 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

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

PREDICTION OF SORGHUM BIOMASS USING TIME SERIES UAV-BASED HYPERSPECTRAL AND LIDAR DATA.

Ali Masjedi, Melba M. Crawford

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

A Weakly Supervised Deep Learning Approach for Plant Center Detection and Counting.

Azam Karami, Melba M. Crawford, Edward J. Delp

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Deep Transfer Learning For Plant Center Localization.

Enyu Cai, Sriram Baireddy, Changye Yang, Melba M. Crawford, Edward J. Delp

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

An Out-of-Sample Extension to Manifold Learning via Meta-Modeling.

Gülsen Taskin Kaya, Melba M. Crawford

IEEE Trans. Image Process., 2019

Centroid and Covariance Alignment-Based Domain Adaptation for Unsupervised Classification of Remote Sensing Images.

Li Ma, Melba M. Crawford, Lei Zhu, Yong Liu

IEEE Trans. Geosci. Remote. Sens., 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

Proceedings of the 30th IEEE Visualization Conference, 2019

Prediction of Sorghum Biomass Using Uav Time Series Data and Recurrent Neural Networks.

Ali Masjedi, Neal R. Carpenter, Melba M. Crawford, Mitchell R. Tuinstra

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Boresight Calibration of GNSS/INS-Assisted Push-Broom Hyperspectral Scanners on UAV Platforms.

Ayman Habib, Tian Zhou, Ali Masjedi, Zhou Zhang, John Evan Flatt, Melba M. Crawford

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Active Manifold Learning for Hyperspectral Image Classification.

Zhou Zhang, Gülsen Taskin Kaya, Melba M. Crawford

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Implementation of UAV-Based Lidar for High Throughput Phenotyping.

Radhika Ravi, Yun-Jou Lin, Tamer Shamseldin, Magdy Elbahnasawy, Melba M. Crawford, Ayman Habib

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Multi-Sensor Integration Onboard a UAV-Based Mobile Mapping System for Agricultural Management.

Magdy Elbahnasawy, Tamer Shamseldin, Radhika Ravi, Tian Zhou, Yun-Jou Lin, Ali Masjedi, John Evan Flatt, Melba M. Crawford, Ayman Habib

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

A Batch-Mode Regularized Multimetric Active Learning Framework for Classification of Hyperspectral Images.

Zhou Zhang, Melba M. Crawford

IEEE Trans. Geosci. Remote. Sens., 2017

Guest Editorial Computational Imaging for Earth Sciences.

Shuchin Aeron, Eric L. Miller, Melba M. Crawford, Alison Malcom, Andreas Reigber, Jocelyn Chanussot

IEEE Trans. Computational Imaging, 2017

Improving Orthorectification of UAV-Based Push-Broom Scanner Imagery Using Derived Orthophotos From Frame Cameras.

Ayman Habib, Weifeng Xiong, Fangning He, Hsiuhan Lexie Yang, Melba M. Crawford

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Prediction of sorghum biomass based on image based features derived from time series of UAV images.

Zhou Zhang, Ali Masjedi, Jieqiong Zhao, Melba M. Crawford

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Extending out-of-sample manifold learning via meta-modelling techniques.

Gülsen Taskin Kaya, Melba M. Crawford

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

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

Active-Metric Learning for Classification of Remotely Sensed Hyperspectral Images.

Edoardo Pasolli, Hsiuhan Lexie Yang, Melba M. Crawford

IEEE Trans. Geosci. 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

An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation.

Zhou Zhang, Edoardo Pasolli, Melba M. Crawford, James C. Tilton

IEEE J. Sel. Top. Appl. Earth Obs. 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

Automated Ortho-Rectification of UAV-Based Hyperspectral Data over an Agricultural Field Using Frame RGB Imagery.

Ayman Habib, Youkyung Han, Weifeng Xiong, Fangning He, Zhou Zhang, Melba M. Crawford

Remote. Sens., 2016

Multimetric Active Learning for Classification of Remote Sensing Data.

Zhou Zhang, Edoardo Pasolli, Hsiuhan Lexie Yang, Melba M. Crawford

IEEE Geosci. Remote. Sens. Lett., 2016

A regularized multi-metric active learning framework for hyperspectral image classification.

Zhou Zhang, Melba M. Crawford

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Semi-supervised multi-metric active learning for classification of hyperspectral images.

Zhou Zhang, Melba M. Crawford

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

Local-Manifold-Learning-Based Graph Construction for Semisupervised Hyperspectral Image Classification.

Li Ma, Melba M. Crawford, Xiaoquan Yang, Yan Guo

IEEE Trans. Geosci. Remote. Sens., 2015

Ensemble Multiple Kernel Active Learning For Classification of Multisource Remote Sensing Data.

Yuhang Zhang, Hsiuhan Lexie Yang, Saurabh Prasad, Edoardo Pasolli, Jinha Jung, Melba M. Crawford

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

An ensemble active learning approach for spectral-spatial classification of hyperspectral images.

Zhou Zhang, Melba M. Crawford

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

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

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

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

Active Landmark Sampling for Manifold Learning Based Spectral Unmixing.

Junhwa Chi, Melba M. Crawford

IEEE Geosci. Remote. Sens. Lett., 2014

Wavelet domain multi-view active learning for hyperspectral image analysis.

Xiong Zhou, Saurabh Prasad, Melba M. Crawford

Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Spatial context driven manifold learning for hyperspectral image classification.

Yuhang Zhang, Hsiuhan Lexie Yang, Dalton D. Lunga, Saurabh Prasad, Melba M. Crawford

Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Combining active and metric learning for hyperspectral image classification.

Edoardo Pasolli, Hsiuhan Lexie Yang, Melba M. Crawford

Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Wavelet domain active learning for robust classification of full-waveform LiDAR data.

Xiong Zhou, Saurabh Prasad, Melba M. Crawford

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

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

Feature Mining for Hyperspectral Image Classification.

Xiuping Jia, Bor-Chen Kuo, Melba M. Crawford

Proc. IEEE, 2013

Active Learning: Any Value for Classification of Remotely Sensed Data?

Melba M. Crawford, Devis Tuia, Hsiuhan Lexie Yang

Proc. IEEE, 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

Multiple kernel active learning for robust geo-spatial image analysis.

Hsiuhan Lexie Yang, Yuhang Zhang, Saurabh Prasad, Melba M. Crawford

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Learning a joint manifold with global-local preservation for multitemporal hyperspectral image classification.

Hsiuhan Lexie Yang, Melba M. Crawford

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

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

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

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

Extraction of Features From LIDAR Waveform Data for Characterizing Forest Structure.

Jinha Jung, Melba M. Crawford

IEEE Geosci. Remote. Sens. Lett., 2012

Exploiting spectral-spatial proximity for classification of hyperspectral data on manifolds.

Hsiuhan Lexie Yang, Melba M. Crawford

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Landmark selection using homogeneity on nonlinear manifolds for unmixing hyperspectral data.

Junhwa Chi, Melba M. Crawford

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

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

Manifold alignment for classification of multitemporal hyperspectral data.

Hsiuhan Lexie Yang, Melba M. Crawford

Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

Planery speaker: Nonlinear manifolds for feature extraction: Opportunities and challenge.

Melba M. Crawford, A. Alexander Held, James Burger

Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

Manifold alignment for multitemporal hyperspectral image classification.

Hsiuhan Lexie Yang, Melba M. Crawford

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Exploiting multisensor spectral data to improve crop residue cover estimates for management of agricultural water quality.

Magda S. Galloza, Melba M. Crawford

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Critical class oriented active learning for hyperspectral image classification.

Wei Di, Melba M. Crawford

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010

Local Manifold Learning-Based k -Nearest-Neighbor for Hyperspectral Image Classification.

Li Ma, Melba M. Crawford, Jinwen Tian

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

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

Locally consistent graph regularization based active learning for hyperspectral image classification.

Wei Di, Melba M. Crawford

Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

Anomaly detection for hyperspectral images using local tangent space alignment.

Li Ma, Melba M. Crawford, Jinwen Tian

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Multi-view adaptive disagreement based active learning for hyperspectral image classification.

Wei Di, Melba M. Crawford

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009

A novel adaptive classification method for hyperspectral data using manifold regularization kernel machines.

Wonkook Kim, Melba M. Crawford

Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

Manifold Learning for Multi-classifier Systems via Ensembles.

Melba M. Crawford, Wonkook Kim

Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Robust Estimation of Crop Residue Cover via Ulti/Hyperspectral Sensing.

James Monty, Melba M. Crawford, Craig S. T. Daughtry

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2008

An Active Learning Approach to Hyperspectral Data Classification.

Suju Rajan, Joydeep Ghosh, Melba M. Crawford

IEEE Trans. Geosci. Remote. Sens., 2008

Assessing Crop Residue Cover Using Hyperion Data.

James Monty, Craig S. T. Daughtry, Melba M. Crawford

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Spatially Adapted Manifold Learning for Classification of Hyperspectral Imagery with Insufficient Labeled Data.

Wonkook Kim, Melba M. Crawford, Joydeep Ghosh

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

A Two-Stage Approach for Decomposition of ICESat Waveforms.

Jinha Jung, Melba M. Crawford

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

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

Multiresolution manifold learning for classification of hyperspectral data.

Wonkook Kim, Yangchi Chen, Melba M. Crawford, James C. Tilton, Joydeep Ghosh

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Knowledge Based Stacking of Hyperspectral Data for Land Cover Classification.

Yangchi Chen, Melba M. Crawford, Joydeep Ghosh

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006

Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data.

Suju Rajan, Joydeep Ghosh, Melba M. Crawford

IEEE Trans. Geosci. Remote. Sens., 2006

An Active Learning Approach to Knowledge Transfer for Hyperspectral Data Analysis.

Suju Raj, Joydeep Ghosh, Melba M. Crawford

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

Improved Nonlinear Manifold Learning for Land Cover Classification via Intelligent Landmark Selection.

Yangchi Chen, Melba M. Crawford, Joydeep Ghosh

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

2005

Unsupervised multistage image classification using hierarchical clustering with a bayesian similarity measure.

Sanghoon Lee, Melba M. Crawford

IEEE Trans. Image Process., 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

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

Development of laser waveform digitization for airborne LIDAR topographic mapping instrumentation.

Roberto Gutierrez, Amy Neuenschwander, Melba M. Crawford

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

Applying nonlinear manifold learning to hyperspectral data for land cover classification.

Yangchi Chen, Melba M. Crawford, Joydeep Ghosh

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

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

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

Hierarchical clustering approach for unsupervised image classification of hyperspectral data.

Sanghoon Lee, Melba M. Crawford

Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

Integrating support vector machines in a hierarchical output space decomposition framework.

Yangchi Chen, Melba M. Crawford, Joydeep Ghosh

Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

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

Model based simulation of multispectral images based on remotely sensed data.

Myunghee Jung, Melba M. Crawford

Simul. Model. Pract. Theory, 2003

Polyline Feature Extraction for Land Cover Classification using Hyperspectral Data.

Alex Henneguelle, Joydeep Ghosh, Melba M. Crawford

Proceedings of the 1st Indian International Conference on Artificial Intelligence, 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

Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003

Multitemporal classification of image series with seasonal variability using harmonic components.

Sanghoon Lee, Melba M. Crawford

Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003

2002

Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis.

Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford

Pattern Anal. Appl., 2002

Sensitivity Analysis of a Spatially-Adaptive Estimator for Data Fusion.

K. Clint Slatton, Melba M. Crawford, Brian L. Evans

Proceedings of the 5th IEEE Southwest Symposium on Image Analysis and Interpretation, 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

Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

Analysis of EO-1 ALI data to determine local impacts of Hurricane Iris on broadleaf forests in Belize, Central America.

William A. White, Melba M. Crawford, Sinan Erozurumlu, Thomas A. Tremblay, Jay A. Raney

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

Multiscale fusion of INSAR data for improved topographic mapping.

K. Clint Slatton, Melba M. Crawford, Larry Teng

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

Monitoring of seasonal flooding in the Okavango Delta using EO-1 data.

Amy L. Neuenschwander, Melba M. Crawford, Susan Ringrose

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

Best bases Bayesian hierarchical classifier for hyperspectral data analysis.

Joseph T. Morgan, Alex Henneguelle, Melba M. Crawford, Joydeep Ghosh, Amy L. Neuenschwander

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

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

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

Best-bases feature extraction algorithms for classification of hyperspectral data.

Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford

IEEE Trans. Geosci. Remote. Sens., 2001

Unsupervised classification using spatial region growing segmentation and fuzzy training.

Sanghoon Lee, Melba M. Crawford

Proceedings of the 2001 International Conference on Image Processing, 2001

2000

Improved Accuracy for Interferometric Radar Images Using Polarimetric Radar and Laser Altimetry Data.

K. Clint Slatton, Melba M. Crawford, Brian L. Evans

Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000

A Hierarchical Multiclassifier System for Hyperspectral Data Analysis.

Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford

Proceedings of the Multiple Classifier Systems, First International Workshop, 2000

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 versatile framework for labelling imagery with a large number of classes.

Shailesh Kumar, Melba M. Crawford, Joydeep Ghosh

Proceedings of the International Joint Conference Neural Networks, 1999

1994

Unsupervised Multistage Segmentation using Markov Random Field and Maximum Entropy Principle.

Sanghoon Lee, Melba M. Crawford

Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

Anisotropic Diffusion Pyramids for Image Segmentation.

Scott T. Acton, Alan C. Bovik, Melba M. Crawford

Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

1991

Adaptive parametric estimation and classification of remotely sensed imagery using a pyramid structure.

Kyungsook Kim, Melba M. Crawford

IEEE Trans. Geosci. Remote. Sens., 1991

1983

An integrated model of drilling vessel operations.

Susan E. Hoffman, Melba M. Crawford, James R. Wilson

Proceedings of the 15th conference on Winter simulation, 1983