Melba M. Crawford

Affiliations:
  • Purdue University, West Lafayette, IN, USA


According to our database1, Melba M. Crawford authored at least 119 papers between 1983 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Online presence:

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Bibliography

2022
Curvature Filters-Based Multiscale Feature Extraction for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Hyperspectral Indices for Predicting Nitrogen Use Efficiency in Maize Hybrids.
Remote. Sens., 2022

2021
New Orthophoto Generation Strategies from UAV and Ground Remote Sensing Platforms for High-Throughput Phenotyping.
Remote. Sens., 2021

Advancing Tassel Detection and Counting: Annotation and Algorithms.
Remote. Sens., 2021

Strong sensitivity of watershed-scale, ecohydrologic model predictions to soil moisture.
Environ. Model. Softw., 2021

Multi-Year Sorghum Biomass Prediction with UAV-Based Remote Sensing Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Panicle Counting in UAV Images for Estimating Flowering Time in Sorghum.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Field-Based Plot Extraction Using UAV RGB Images.
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.
IEEE Trans. Geosci. Remote. Sens., 2020

Automatic Plant Counting and Location Based on a Few-Shot Learning Technique.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Multi-Temporal Predictive Modelling of Sorghum Biomass Using UAV-Based Hyperspectral and LiDAR Data.
Remote. Sens., 2020

PREDICTION OF SORGHUM BIOMASS USING TIME SERIES UAV-BASED HYPERSPECTRAL AND LIDAR DATA.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

A Weakly Supervised Deep Learning Approach for Plant Center Detection and Counting.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Deep Transfer Learning For Plant Center Localization.
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.
IEEE Trans. Image Process., 2019

Centroid and Covariance Alignment-Based Domain Adaptation for Unsupervised Classification of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2019

FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images.
Proceedings of the 30th IEEE Visualization Conference, 2019

Prediction of Sorghum Biomass Using Uav Time Series Data and Recurrent Neural Networks.
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.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Active Manifold Learning for Hyperspectral Image Classification.
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.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Implementation of UAV-Based Lidar for High Throughput Phenotyping.
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.
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.
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.
IEEE Trans. Geosci. Remote. Sens., 2017

Guest Editorial Computational Imaging for Earth Sciences.
IEEE Trans. Computational Imaging, 2017

Improving Orthorectification of UAV-Based Push-Broom Scanner Imagery Using Derived Orthophotos From Frame Cameras.
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.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Extending out-of-sample manifold learning via meta-modelling techniques.
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.
IEEE Trans. Geosci. Remote. Sens., 2016

Active-Metric Learning for Classification of Remotely Sensed Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2016

Wavelet-Domain Multiview Active Learning for Spatial-Spectral Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Domain Adaptation With Preservation of Manifold Geometry for Hyperspectral Image Classification.
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.
Remote. Sens., 2016

Multimetric Active Learning for Classification of Remote Sensing Data.
IEEE Geosci. Remote. Sens. Lett., 2016

A regularized multi-metric active learning framework for hyperspectral image classification.
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.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Local-Manifold-Learning-Based Graph Construction for Semisupervised Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2015

Ensemble Multiple Kernel Active Learning For Classification of Multisource Remote Sensing Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

An ensemble active learning approach for spectral-spatial classification of hyperspectral images.
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.
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.
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.
IEEE Signal Process. Mag., 2014

Active Landmark Sampling for Manifold Learning Based Spectral Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2014

Wavelet domain multi-view active learning for hyperspectral image analysis.
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.
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.
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.
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.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Feature Mining for Hyperspectral Image Classification.
Proc. IEEE, 2013

Active Learning: Any Value for Classification of Remotely Sensed Data?
Proc. IEEE, 2013

Selection of Landmark Points on Nonlinear Manifolds for Spectral Unmixing Using Local Homogeneity.
IEEE Geosci. Remote. Sens. Lett., 2013

Multiple kernel active learning for robust geo-spatial image analysis.
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.
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.
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.
IEEE Trans. Geosci. Remote. Sens., 2012

Extraction of Features From LIDAR Waveform Data for Characterizing Forest Structure.
IEEE Geosci. Remote. Sens. Lett., 2012

Exploiting spectral-spatial proximity for classification of hyperspectral data on manifolds.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Landmark selection using homogeneity on nonlinear manifolds for unmixing hyperspectral data.
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.
IEEE J. Sel. Top. Signal Process., 2011

Manifold alignment for classification of multitemporal hyperspectral data.
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.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

Manifold alignment for multitemporal hyperspectral image classification.
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.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Critical class oriented active learning for hyperspectral image classification.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010
Local Manifold Learning-Based k -Nearest-Neighbor for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2010

Adaptive Classification for Hyperspectral Image Data Using Manifold Regularization Kernel Machines.
IEEE Trans. Geosci. Remote. Sens., 2010

Foreword to the Special Issue on Hyperspectral Image and Signal Processing.
IEEE Trans. Geosci. Remote. Sens., 2010

Locally consistent graph regularization based active learning for hyperspectral image classification.
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.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Multi-view adaptive disagreement based active learning for hyperspectral image classification.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009
A novel adaptive classification method for hyperspectral data using manifold regularization kernel machines.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

Manifold Learning for Multi-classifier Systems via Ensembles.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Robust Estimation of Crop Residue Cover via Ulti/Hyperspectral Sensing.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2008
An Active Learning Approach to Hyperspectral Data Classification.
IEEE Trans. Geosci. Remote. Sens., 2008

Assessing Crop Residue Cover Using Hyperion Data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Spatially Adapted Manifold Learning for Classification of Hyperspectral Imagery with Insufficient Labeled Data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

A Two-Stage Approach for Decomposition of ICESat Waveforms.
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.
IEEE Trans. Geosci. Remote. Sens., 2007

Multiresolution manifold learning for classification of hyperspectral data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Knowledge Based Stacking of Hyperspectral Data for Land Cover Classification.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006
Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data.
IEEE Trans. Geosci. Remote. Sens., 2006

An Active Learning Approach to Knowledge Transfer for Hyperspectral Data Analysis.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

Improved Nonlinear Manifold Learning for Land Cover Classification via Intelligent Landmark Selection.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

2005
Unsupervised multistage image classification using hierarchical clustering with a bayesian similarity measure.
IEEE Trans. Image Process., 2005

Foreword to the Special Issue on Advances in Techniques for Analysis of Remotely Sensed Data.
IEEE Trans. Geosci. Remote. Sens., 2005

Investigation of the random forest framework for classification of hyperspectral data.
IEEE Trans. Geosci. Remote. Sens., 2005

Development of laser waveform digitization for airborne LIDAR topographic mapping instrumentation.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

Applying nonlinear manifold learning to hyperspectral data for land cover classification.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

2004
Foreword to the Special Issue on Landsat Sensor Performance Characterization.
IEEE Trans. Geosci. Remote. Sens., 2004

Adaptive Feature Spaces For Land Cover Classification With Limited Ground Truth Data.
Int. J. Pattern Recognit. Artif. Intell., 2004

Hierarchical clustering approach for unsupervised image classification of hyperspectral data.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

Integrating support vector machines in a hierarchical output space decomposition framework.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

2003
Foreword to the earth observing 1 special issue.
IEEE Trans. Geosci. Remote. Sens., 2003

Model based simulation of multispectral images based on remotely sensed data.
Simul. Model. Pract. Theory, 2003

Polyline Feature Extraction for Land Cover Classification using Hyperspectral Data.
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.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003

Multitemporal classification of image series with seasonal variability using harmonic components.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003

2002
Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis.
Pattern Anal. Appl., 2002

Sensitivity Analysis of a Spatially-Adaptive Estimator for Data Fusion.
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.
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.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

Classification of LIDAR data using a lower envelope follower and gradient-based operator.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

Multiscale fusion of INSAR data for improved topographic mapping.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

Monitoring of seasonal flooding in the Okavango Delta using EO-1 data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

Best bases Bayesian hierarchical classifier for hyperspectral data analysis.
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.
IEEE Trans. Geosci. Remote. Sens., 2001

Introduction to the special issue on analysis of hyperspectral image data.
IEEE Trans. Geosci. Remote. Sens., 2001

Best-bases feature extraction algorithms for classification of hyperspectral data.
IEEE Trans. Geosci. Remote. Sens., 2001

Unsupervised classification using spatial region growing segmentation and fuzzy training.
Proceedings of the 2001 International Conference on Image Processing, 2001

2000
Improved Accuracy for Interferometric Radar Images Using Polarimetric Radar and Laser Altimetry Data.
Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000

A Hierarchical Multiclassifier System for Hyperspectral Data Analysis.
Proceedings of the Multiple Classifier Systems, First International Workshop, 2000

1999
Fusion of airborne polarimetric and interferometric SAR for classification of coastal environments.
IEEE Trans. Geosci. Remote. Sens., 1999

A versatile framework for labelling imagery with a large number of classes.
Proceedings of the International Joint Conference Neural Networks, 1999

1994
Unsupervised Multistage Segmentation using Markov Random Field and Maximum Entropy Principle.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

Anisotropic Diffusion Pyramids for Image Segmentation.
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.
IEEE Trans. Geosci. Remote. Sens., 1991

1983
An integrated model of drilling vessel operations.
Proceedings of the 15th conference on Winter simulation, 1983


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