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Melba M. Crawford
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- affiliation: Purdue University, West Lafayette, IN, USA
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2020 – today
- 2023
- [j56]Jón Atli Benediktsson
, Melba M. Crawford
, John P. Kerekes
, Jie Shan
:
Foreword. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 866-867 (2023) - [c68]Anan Yaghmour, Saurabh Prasad, Melba M. Crawford:
Adversarial Discriminative Knowledge Transfer with a Multi-Class Discriminator for Robust Geoai. IGARSS 2023: 4883-4886 - [c67]Wei Li, Saurabh Prasad, Melba M. Crawford:
CNN-Mixer Hierarchical Spectral Transformer for Hyperspectral Image Classification. IGARSS 2023: 5946-5949 - 2022
- [j55]Monica B. Olson, Melba M. Crawford, Tony J. Vyn
:
Hyperspectral Indices for Predicting Nitrogen Use Efficiency in Maize Hybrids. Remote. Sens. 14(7): 1721 (2022) - [j54]Monica B. Olson, Melba M. Crawford, Tony J. Vyn
:
Predicting Nitrogen Efficiencies in Mature Maize with Parametric Models Employing In-Season Hyperspectral Imaging. Remote. Sens. 14(22): 5884 (2022) - [j53]Wei Liu
, Karoll Quijano
, Melba M. Crawford
:
YOLOv5-Tassel: Detecting Tassels in RGB UAV Imagery With Improved YOLOv5 Based on Transfer Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 8085-8094 (2022) - [j52]Qiaobo Hao
, Bin Sun
, Shutao Li
, Melba M. Crawford
, Xudong Kang
:
Curvature Filters-Based Multiscale Feature Extraction for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - 2021
- [j51]Garett Pignotti
, Hendrik Rathjens
, Indrajeet Chaubey, Mark Williams, Melba M. Crawford
:
Strong sensitivity of watershed-scale, ecohydrologic model predictions to soil moisture. Environ. Model. Softw. 144: 105162 (2021) - [j50]Yi-Chun Lin
, Tian Zhou
, Taojun Wang, Melba M. Crawford, Ayman Habib
:
New Orthophoto Generation Strategies from UAV and Ground Remote Sensing Platforms for High-Throughput Phenotyping. Remote. Sens. 13(5): 860 (2021) - [j49]Azam Karami
, Karoll Quijano
, Melba M. Crawford:
Advancing Tassel Detection and Counting: Annotation and Algorithms. Remote. Sens. 13(15): 2881 (2021) - [c66]Changye Yang, Sriram Baireddy, Enyu Cai, Melba M. Crawford, Edward J. Delp:
Field-Based Plot Extraction Using UAV RGB Images. ICCVW 2021: 1390-1398 - [c65]Taojun Wang, Melba M. Crawford:
Multi-Year Sorghum Biomass Prediction with UAV-Based Remote Sensing Data. IGARSS 2021: 4312-4315 - [c64]Enyu Cai, Sriram Baireddy, Changye Yang, Edward J. Delp, Melba M. Crawford:
Panicle Counting in UAV Images for Estimating Flowering Time in Sorghum. IGARSS 2021: 6280-6283 - [i3]Changye Yang, Sriram Baireddy, Enyu Cai, Melba M. Crawford, Edward J. Delp:
Field-Based Plot Extraction Using UAV RGB Images. CoRR abs/2109.00632 (2021) - 2020
- [j48]Ali Masjedi
, Melba M. Crawford, Neal R. Carpenter, Mitchell R. Tuinstra
:
Multi-Temporal Predictive Modelling of Sorghum Biomass Using UAV-Based Hyperspectral and LiDAR Data. Remote. Sens. 12(21): 3587 (2020) - [j47]Azam Karami
, Melba M. Crawford
, Edward J. Delp
:
Automatic Plant Counting and Location Based on a Few-Shot Learning Technique. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5872-5886 (2020) - [j46]Zhou Zhang
, Edoardo Pasolli
, Melba M. Crawford
:
An Adaptive Multiview Active Learning Approach for Spectral-Spatial Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 58(4): 2557-2570 (2020) - [c63]Enyu Cai, Sriram Baireddy, Changye Yang, Melba M. Crawford, Edward J. Delp
:
Deep Transfer Learning For Plant Center Localization. CVPR Workshops 2020: 277-284 - [c62]Azam Karami
, Melba M. Crawford, Edward J. Delp
:
A Weakly Supervised Deep Learning Approach for Plant Center Detection and Counting. IGARSS 2020: 1584-1587 - [c61]Ali Masjedi, Melba M. Crawford:
PREDICTION OF SORGHUM BIOMASS USING TIME SERIES UAV-BASED HYPERSPECTRAL AND LIDAR DATA. IGARSS 2020: 3912-3915 - [i2]Enyu Cai, Sriram Baireddy, Changye Yang, Melba M. Crawford, Edward J. Delp:
Deep Transfer Learning For Plant Center Localization. CoRR abs/2004.13973 (2020)
2010 – 2019
- 2019
- [j45]Li Ma
, Melba M. Crawford
, Lei Zhu, Yong Liu:
Centroid and Covariance Alignment-Based Domain Adaptation for Unsupervised Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 57(4): 2305-2323 (2019) - [j44]Gülsen Taskin Kaya, Melba M. Crawford:
An Out-of-Sample Extension to Manifold Learning via Meta-Modeling. IEEE Trans. Image Process. 28(10): 5227-5237 (2019) - [c60]Ali Masjedi, Neal R. Carpenter, Melba M. Crawford, Mitchell R. Tuinstra:
Prediction of Sorghum Biomass Using Uav Time Series Data and Recurrent Neural Networks. CVPR Workshops 2019: 2695-2702 - [c59]Jieqiong Zhao
, Morteza Karimzadeh
, Ali Masjedi, Taojun Wang, Xiwen Zhang, Melba M. Crawford, David S. Ebert
:
FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images. IEEE VIS (Short Papers) 2019: 161-165 - [i1]Jieqiong Zhao, Morteza Karimzadeh, Ali Masjedi, Taojun Wang, Xiwen Zhang, Melba M. Crawford, David S. Ebert:
FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images. CoRR abs/1908.00671 (2019) - 2018
- [j43]Ayman Habib, Tian Zhou
, Ali Masjedi
, Zhou Zhang
, John Evan Flatt
, Melba M. Crawford:
Boresight Calibration of GNSS/INS-Assisted Push-Broom Hyperspectral Scanners on UAV Platforms. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(5): 1734-1749 (2018) - [c58]Zhou Zhang, Gülsen Taskin Kaya, Melba M. Crawford:
Active Manifold Learning for Hyperspectral Image Classification. IGARSS 2018: 2587-2590 - [c57]Radhika Ravi, Yun-Jou Lin, Tamer Shamseldin, Magdy Elbahnasawy
, Ali Masjedi
, Melba M. Crawford, Ayman Habib:
Wheel-Based Lidar Data for Plant Height and Canopy Cover Evaluation to Aid Biomass Prediction. IGARSS 2018: 3242-3245 - [c56]Magdy Elbahnasawy
, Tamer Shamseldin, Radhika Ravi, Tian Zhou
, Yun-Jou Lin, Ali Masjedi
, John Evan Flatt, Melba M. Crawford, Ayman Habib:
Multi-Sensor Integration Onboard a UAV-Based Mobile Mapping System for Agricultural Management. IGARSS 2018: 3412-3415 - [c55]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
:
Sorghum Biomass Prediction Using Uav-Based Remote Sensing Data and Crop Model Simulation. IGARSS 2018: 7719-7722 - [c54]Radhika Ravi
, Yun-Jou Lin, Tamer Shamseldin, Magdy Elbahnasawy
, Melba M. Crawford, Ayman Habib:
Implementation of UAV-Based Lidar for High Throughput Phenotyping. IGARSS 2018: 8761-8764 - 2017
- [j42]Ayman Habib, Weifeng Xiong, Fangning He
, Hsiuhan Lexie Yang
, Melba M. Crawford:
Improving Orthorectification of UAV-Based Push-Broom Scanner Imagery Using Derived Orthophotos From Frame Cameras. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(1): 262-276 (2017) - [j41]Shuchin Aeron, Eric L. Miller
, Melba M. Crawford, Alison Malcom, Andreas Reigber, Jocelyn Chanussot:
Guest Editorial Computational Imaging for Earth Sciences. IEEE Trans. Computational Imaging 3(2): 144-145 (2017) - [j40]Zhou Zhang
, Melba M. Crawford:
A Batch-Mode Regularized Multimetric Active Learning Framework for Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 55(11): 6594-6609 (2017) - [c53]Gülsen Taskin Kaya, Melba M. Crawford:
Extending out-of-sample manifold learning via meta-modelling techniques. IGARSS 2017: 562-565 - [c52]Zhou Zhang, Ali Masjedi
, Jieqiong Zhao
, Melba M. Crawford:
Prediction of sorghum biomass based on image based features derived from time series of UAV images. IGARSS 2017: 6154-6157 - 2016
- [j39]Zhou Zhang
, Edoardo Pasolli
, Hsiuhan Lexie Yang
, Melba M. Crawford:
Multimetric Active Learning for Classification of Remote Sensing Data. IEEE Geosci. Remote. Sens. Lett. 13(7): 1007-1011 (2016) - [j38]Ayman Habib
, Youkyung Han
, Weifeng Xiong, Fangning He
, Zhou Zhang
, Melba M. Crawford:
Automated Ortho-Rectification of UAV-Based Hyperspectral Data over an Agricultural Field Using Frame RGB Imagery. Remote. Sens. 8(10): 796 (2016) - [j37]Hsiuhan Lexie Yang
, Melba M. Crawford:
Domain Adaptation With Preservation of Manifold Geometry for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(2): 543-555 (2016) - [j36]Zhou Zhang
, Edoardo Pasolli
, Melba M. Crawford, James C. Tilton:
An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(2): 640-654 (2016) - [j35]Xiong Zhou, Saurabh Prasad
, Melba M. Crawford:
Wavelet-Domain Multiview Active Learning for Spatial-Spectral Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(9): 4047-4059 (2016) - [j34]Hsiuhan Lexie Yang
, Melba M. Crawford:
Spectral and Spatial Proximity-Based Manifold Alignment for Multitemporal Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 54(1): 51-64 (2016) - [j33]Edoardo Pasolli
, Hsiuhan Lexie Yang
, Melba M. Crawford:
Active-Metric Learning for Classification of Remotely Sensed Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 54(4): 1925-1939 (2016) - [c51]Zhou Zhang
, Melba M. Crawford:
Semi-supervised multi-metric active learning for classification of hyperspectral images. IGARSS 2016: 1843-1846 - [c50]Zhou Zhang, Melba M. Crawford:
A regularized multi-metric active learning framework for hyperspectral image classification. WHISPERS 2016: 1-5 - 2015
- [j32]Yuhang Zhang, Hsiuhan Lexie Yang
, Saurabh Prasad, Edoardo Pasolli
, Jinha Jung
, Melba M. Crawford:
Ensemble Multiple Kernel Active Learning For Classification of Multisource Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(2): 845-858 (2015) - [j31]Li Ma, Melba M. Crawford, Xiaoquan Yang, Yan Guo:
Local-Manifold-Learning-Based Graph Construction for Semisupervised Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 53(5): 2832-2844 (2015) - [c49]Zhou Zhang, Melba M. Crawford:
An ensemble active learning approach for spectral-spatial classification of hyperspectral images. IGARSS 2015: 4963-4966 - 2014
- [j30]Junhwa Chi
, Melba M. Crawford:
Active Landmark Sampling for Manifold Learning Based Spectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 11(11): 1881-1885 (2014) - [j29]Dalton D. Lunga, Saurabh Prasad, Melba M. Crawford, Okan K. Ersoy:
Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning. IEEE Signal Process. Mag. 31(1): 55-66 (2014) - [j28]Jinha Jung
, Edoardo Pasolli
, Saurabh Prasad, James C. Tilton, Melba M. Crawford:
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. 7(2): 491-502 (2014) - [j27]Junhwa Chi
, Melba M. Crawford:
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. 7(6): 2531-2539 (2014) - [c48]Xiong Zhou, Saurabh Prasad, Melba M. Crawford:
Wavelet domain active learning for robust classification of full-waveform LiDAR data. IGARSS 2014: 3566-3569 - [c47]Edoardo Pasolli
, Hsiuhan Lexie Yang
, Melba M. Crawford:
Combining active and metric learning for hyperspectral image classification. WHISPERS 2014: 1-4 - [c46]Yuhang Zhang, Hsiuhan Lexie Yang
, Dalton D. Lunga, Saurabh Prasad, Melba M. Crawford:
Spatial context driven manifold learning for hyperspectral image classification. WHISPERS 2014: 1-4 - [c45]Xiong Zhou, Saurabh Prasad, Melba M. Crawford:
Wavelet domain multi-view active learning for hyperspectral image analysis. WHISPERS 2014: 1-4 - 2013
- [j26]Junhwa Chi
, Melba M. Crawford:
Selection of Landmark Points on Nonlinear Manifolds for Spectral Unmixing Using Local Homogeneity. IEEE Geosci. Remote. Sens. Lett. 10(4): 711-715 (2013) - [j25]Melba M. Crawford, Devis Tuia
, Hsiuhan Lexie Yang
:
Active Learning: Any Value for Classification of Remotely Sensed Data? Proc. IEEE 101(3): 593-608 (2013) - [j24]Xiuping Jia
, Bor-Chen Kuo, Melba M. Crawford:
Feature Mining for Hyperspectral Image Classification. Proc. IEEE 101(3): 676-697 (2013) - [j23]Magda S. Galloza, Melba M. Crawford, Gary Heathman:
Crop Residue Modeling and Mapping Using Landsat, ALI, Hyperion and Airborne Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(2-1): 446-456 (2013) - [c44]Hsiuhan Lexie Yang
, Melba M. Crawford:
Learning a joint manifold with global-local preservation for multitemporal hyperspectral image classification. IGARSS 2013: 1047-1050 - [c43]Hsiuhan Lexie Yang
, Yuhang Zhang, Saurabh Prasad, Melba M. Crawford:
Multiple kernel active learning for robust geo-spatial image analysis. IGARSS 2013: 1218-1221 - [c42]Magda S. Galloza, Bernard A. Engel, Melba M. Crawford, Gary Heathman, Jimmy R. Williams:
Application of remote sensing observations as APEX model input for estimating soil erosion. IGARSS 2013: 3261-3264 - 2012
- [j22]Jinha Jung
, Melba M. Crawford:
Extraction of Features From LIDAR Waveform Data for Characterizing Forest Structure. IEEE Geosci. Remote. Sens. Lett. 9(3): 492-496 (2012) - [j21]Wei Di, Melba M. Crawford:
View Generation for Multiview Maximum Disagreement Based Active Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 50(5-2): 1942-1954 (2012) - [c41]Junhwa Chi, Melba M. Crawford:
Landmark selection using homogeneity on nonlinear manifolds for unmixing hyperspectral data. IGARSS 2012: 1373-1376 - [c40]Hsiuhan Lexie Yang
, Melba M. Crawford:
Exploiting spectral-spatial proximity for classification of hyperspectral data on manifolds. IGARSS 2012: 4174-4177 - 2011
- [j20]Wei Di, Melba M. Crawford:
Active Learning via Multi-View and Local Proximity Co-Regularization for Hyperspectral Image Classification. IEEE J. Sel. Top. Signal Process. 5(3): 618-628 (2011) - [c39]Magda S. Galloza, Melba M. Crawford:
Exploiting multisensor spectral data to improve crop residue cover estimates for management of agricultural water quality. IGARSS 2011: 3668-3671 - [c38]Wei Di, Melba M. Crawford:
Critical class oriented active learning for hyperspectral image classification. IGARSS 2011: 3899-3902 - [c37]Hsiuhan Lexie Yang
, Melba M. Crawford:
Manifold alignment for multitemporal hyperspectral image classification. IGARSS 2011: 4332-4335 - [c36]Melba M. Crawford, A. Alexander Held, James Burger:
Planery speaker: Nonlinear manifolds for feature extraction: Opportunities and challenge. WHISPERS 2011: 1-3 - [c35]Hsiuhan Lexie Yang
, Melba M. Crawford:
Manifold alignment for classification of multitemporal hyperspectral data. WHISPERS 2011: 1-4 - 2010
- [j19]Jocelyn Chanussot, Melba M. Crawford, Bor-Chen Kuo:
Foreword to the Special Issue on Hyperspectral Image and Signal Processing. IEEE Trans. Geosci. Remote. Sens. 48(11): 3871-3876 (2010) - [j18]Li Ma, Melba M. Crawford, Jinwen Tian:
Local Manifold Learning-Based k -Nearest-Neighbor for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 48(11): 4099-4109 (2010) - [j17]Wonkook Kim, Melba M. Crawford:
Adaptive Classification for Hyperspectral Image Data Using Manifold Regularization Kernel Machines. IEEE Trans. Geosci. Remote. Sens. 48(11): 4110-4121 (2010) - [c34]Li Ma, Melba M. Crawford, Jinwen Tian:
Anomaly detection for hyperspectral images using local tangent space alignment. IGARSS 2010: 824-827 - [c33]Wei Di, Melba M. Crawford:
Multi-view adaptive disagreement based active learning for hyperspectral image classification. IGARSS 2010: 1374-1377 - [c32]Wei Di, Melba M. Crawford:
Locally consistent graph regularization based active learning for hyperspectral image classification. WHISPERS 2010: 1-4
2000 – 2009
- 2009
- [c31]James Monty, Melba M. Crawford, Craig S. T. Daughtry:
Robust Estimation of Crop Residue Cover via Ulti/Hyperspectral Sensing. IGARSS (5) 2009: 401-404 - [c30]Melba M. Crawford, Wonkook Kim:
Manifold Learning for Multi-classifier Systems via Ensembles. MCS 2009: 519-528 - [c29]Wonkook Kim, Melba M. Crawford:
A novel adaptive classification method for hyperspectral data using manifold regularization kernel machines. WHISPERS 2009: 1-4 - 2008
- [j16]Suju Rajan, Joydeep Ghosh, Melba M. Crawford:
An Active Learning Approach to Hyperspectral Data Classification. IEEE Trans. Geosci. Remote. Sens. 46(4): 1231-1242 (2008) - [c28]Wonkook Kim, Melba M. Crawford, Joydeep Ghosh:
Spatially Adapted Manifold Learning for Classification of Hyperspectral Imagery with Insufficient Labeled Data. IGARSS (1) 2008: 213-216 - [c27]James Monty, Craig S. T. Daughtry, Melba M. Crawford:
Assessing Crop Residue Cover Using Hyperion Data. IGARSS (2) 2008: 303-306 - [c26]Jinha Jung
, Melba M. Crawford:
A Two-Stage Approach for Decomposition of ICESat Waveforms. IGARSS (3) 2008: 680-683 - 2007
- [j15]Kun-Shan Chen, Melba M. Crawford, Paolo Gamba
, James S. Smith:
Introduction for the Special Issue on Remote Sensing for Major Disaster Prevention, Monitoring, and Assessment. IEEE Trans. Geosci. Remote. Sens. 45(6-1): 1515-1518 (2007) - [c25]Yangchi Chen, Melba M. Crawford, Joydeep Ghosh:
Knowledge Based Stacking of Hyperspectral Data for Land Cover Classification. CIDM 2007: 316-322 - [c24]Wonkook Kim, Yangchi Chen, Melba M. Crawford, James C. Tilton, Joydeep Ghosh:
Multiresolution manifold learning for classification of hyperspectral data. IGARSS 2007: 3785-3788 - 2006
- [j14]Suju Rajan, Joydeep Ghosh, Melba M. Crawford:
Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 44(11-2): 3408-3417 (2006) - [c23]Suju Raj, Joydeep Ghosh, Melba M. Crawford:
An Active Learning Approach to Knowledge Transfer for Hyperspectral Data Analysis. IGARSS 2006: 541-544 - [c22]Yangchi Chen, Melba M. Crawford, Joydeep Ghosh:
Improved Nonlinear Manifold Learning for Land Cover Classification via Intelligent Landmark Selection. IGARSS 2006: 545-548 - 2005
- [j13]John A. Richards, Melba M. Crawford, John P. Kerkes, Sebastiano B. Serpico, James C. Tilton:
Foreword to the Special Issue on Advances in Techniques for Analysis of Remotely Sensed Data. IEEE Trans. Geosci. Remote. Sens. 43(3): 411-413 (2005) - [j12]Jisoo Ham, Yangchi Chen, Melba M. Crawford, Joydeep Ghosh:
Investigation of the random forest framework for classification of hyperspectral data. IEEE Trans. Geosci. Remote. Sens. 43(3): 492-501 (2005) - [j11]Sanghoon Lee, Melba M. Crawford:
Unsupervised multistage image classification using hierarchical clustering with a bayesian similarity measure. IEEE Trans. Image Process. 14(3): 312-320 (2005) - [c21]Roberto Gutierrez, Amy Neuenschwander
, Melba M. Crawford:
Development of laser waveform digitization for airborne LIDAR topographic mapping instrumentation. IGARSS 2005: 1154-1157 - [c20]Yangchi Chen, Melba M. Crawford, Joydeep Ghosh:
Applying nonlinear manifold learning to hyperspectral data for land cover classification. IGARSS 2005: 4311-4314 - 2004
- [j10]Joseph T. Morgan, Jisoo Ham, Melba M. Crawford, Alex Henneguelle, Joydeep Ghosh:
Adaptive Feature Spaces For Land Cover Classification With Limited Ground Truth Data. Int. J. Pattern Recognit. Artif. Intell. 18(5): 777-799 (2004) - [j9]Brian L. Markham
, James C. Storey, Melba M. Crawford, David G. Goodenough, James R. Irons:
Foreword to the Special Issue on Landsat Sensor Performance Characterization. IEEE Trans. Geosci. Remote. Sens. 42(12): 2687-2689 (2004) - [c19]Sanghoon Lee, Melba M. Crawford:
Hierarchical clustering approach for unsupervised image classification of hyperspectral data. IGARSS 2004: 941-944 - [c18]Yangchi Chen, Melba M. Crawford, Joydeep Ghosh:
Integrating support vector machines in a hierarchical output space decomposition framework. IGARSS 2004: 949-952 - 2003
- [j8]Myunghee Jung, Melba M. Crawford:
Model based simulation of multispectral images based on remotely sensed data. Simul. Model. Pract. Theory 11(2): 151-169 (2003) - [j7]Jay S. Pearlman, Melba M. Crawford, David L. B. Jupp
, Stephen G. Ungar:
Foreword to the earth observing 1 special issue. IEEE Trans. Geosci. Remote. Sens. 41(6): 1147-1148 (2003) - [c17]Donna Korycinski, Melba M. Crawford, J. W. Barnes, Joydeep Ghosh:
Adaptive feature selection for hyperspectral data analysis using a binary hierarchical classifier and tabu search. IGARSS 2003: 297-299 - [c16]Sanghoon Lee, Melba M. Crawford:
Multitemporal classification of image series with seasonal variability using harmonic components. IGARSS 2003: 3353-3355 - [c15]Alex Henneguelle, Joydeep Ghosh, Melba M. Crawford:
Polyline Feature Extraction for Land Cover Classification using Hyperspectral Data. IICAI 2003: 256-269 - 2002
- [j6]Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford:
Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis. Pattern Anal. Appl. 5(2): 210-220 (2002) - [c14]K. Clint Slatton, Melba M. Crawford, Larry Teng:
Multiscale fusion of INSAR data for improved topographic mapping. IGARSS 2002: 69-71 - [c13]Christopher A. Weed, Melba M. Crawford, Amy L. Neuenschwander, Roberto Gutierrez:
Classification of LIDAR data using a lower envelope follower and gradient-based operator. IGARSS 2002: 1384-1386 - [c12]Joseph T. Morgan, Alex Henneguelle, Melba M. Crawford, Joydeep Ghosh, Amy L. Neuenschwander:
Best bases Bayesian hierarchical classifier for hyperspectral data analysis. IGARSS 2002: 1434-1437 - [c11]Amy L. Neuenschwander, Melba M. Crawford, Susan Ringrose:
Monitoring of seasonal flooding in the Okavango Delta using EO-1 data. IGARSS 2002: 3124-3126 - [c10]William A. White, Melba M. Crawford, Sinan Erozurumlu, Thomas A. Tremblay, Jay A. Raney:
Analysis of EO-1 ALI data to determine local impacts of Hurricane Iris on broadleaf forests in Belize, Central America. IGARSS 2002: 3127-3128 - [c9]Joseph T. Morgan, Alex Henneguelle, Melba M. Crawford, Joydeep Ghosh, Amy Neuenschwander
:
Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data. Multiple Classifier Systems 2002: 189-200 - [c8]K. Clint Slatton, Melba M. Crawford, Brian L. Evans:
Sensitivity Analysis of a Spatially-Adaptive Estimator for Data Fusion. SSIAI 2002: 72-76 - 2001
- [j5]David A. Landgrebe, Sebastiano B. Serpico, Melba M. Crawford, Vern Singhroy:
Introduction to the special issue on analysis of hyperspectral image data. IEEE Trans. Geosci. Remote. Sens. 39(7): 1343-1345 (2001) - [j4]Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford:
Best-bases feature extraction algorithms for classification of hyperspectral data. IEEE Trans. Geosci. Remote. Sens. 39(7): 1368-1379 (2001) - [j3]K. Clint Slatton, Melba M. Crawford, Brian L. Evans:
Fusing interferometric radar and laser altimeter data to estimate surface topography and vegetation heights. IEEE Trans. Geosci. Remote. Sens. 39(11): 2470-2482 (2001) - [c7]Sanghoon Lee, Melba M. Crawford:
Unsupervised classification using spatial region growing segmentation and fuzzy training. ICIP (1) 2001: 770-773 - 2000
- [c6]Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford:
A Hierarchical Multiclassifier System for Hyperspectral Data Analysis. Multiple Classifier Systems 2000: 270-279 - [c5]K. Clint Slatton, Melba M. Crawford, Brian L. Evans:
Improved Accuracy for Interferometric Radar Images Using Polarimetric Radar and Laser Altimetry Data. SSIAI 2000: 156-160
1990 – 1999
- 1999
- [j2]Melba M. Crawford, Shailesh Kumar, M. R. Ricard, James C. Gibeaut, Amy Neuenschwander:
Fusion of airborne polarimetric and interferometric SAR for classification of coastal environments. IEEE Trans. Geosci. Remote. Sens. 37(3): 1306-1315 (1999) - [c4]Shailesh Kumar, Melba M. Crawford, Joydeep Ghosh:
A versatile framework for labelling imagery with a large number of classes. IJCNN 1999: 2829-2833 - 1994
- [c3]Sanghoon Lee, Melba M. Crawford:
Unsupervised Multistage Segmentation using Markov Random Field and Maximum Entropy Principle. ICIP (2) 1994: 192-196 - [c2]Scott T. Acton, Alan C. Bovik, Melba M. Crawford:
Anisotropic Diffusion Pyramids for Image Segmentation. ICIP (3) 1994: 478-482 - 1991
- [j1]Kyungsook Kim, Melba M. Crawford:
Adaptive parametric estimation and classification of remotely sensed imagery using a pyramid structure. IEEE Trans. Geosci. Remote. Sens. 29(4): 481-493 (1991)
1980 – 1989
- 1983
- [c1]Susan E. Hoffman, Melba M. Crawford, James R. Wilson:
An integrated model of drilling vessel operations. WSC 1983: 45-54
Coauthor Index
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