default search action
Melba M. Crawford
Person information
- affiliation: Purdue University, West Lafayette, IN, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j57]Wei Liu
, Saurabh Prasad
Investigation of Hierarchical Spectral Vision Transformer Architecture for Classification of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - [i4]Wei Liu, Saurabh Prasad, Melba M. Crawford:
Investigation of Hierarchical Spectral Vision Transformer Architecture for Classification of Hyperspectral Imagery. CoRR abs/2409.09244 (2024) - 2023
- [j56]Jón Atli Benediktsson
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
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
Curvature Filters-Based Multiscale Feature Extraction for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - 2021
- [j51]Garett Pignotti
Strong sensitivity of watershed-scale, ecohydrologic model predictions to soil moisture. Environ. Model. Softw. 144: 105162 (2021) - [j50]Yi-Chun Lin
New Orthophoto Generation Strategies from UAV and Ground Remote Sensing Platforms for High-Throughput Phenotyping. Remote. Sens. 13(5): 860 (2021) - [j49]Azam Karami
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
Multi-Temporal Predictive Modelling of Sorghum Biomass Using UAV-Based Hyperspectral and LiDAR Data. Remote. Sens. 12(21): 3587 (2020) - [j47]Azam Karami
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
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
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
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
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
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
Wheel-Based Lidar Data for Plant Height and Canopy Cover Evaluation to Aid Biomass Prediction. IGARSS 2018: 3242-3245 - [c56]Magdy Elbahnasawy
Multi-Sensor Integration Onboard a UAV-Based Mobile Mapping System for Agricultural Management. IGARSS 2018: 3412-3415 - [c55]Ali Masjedi
Sorghum Biomass Prediction Using Uav-Based Remote Sensing Data and Crop Model Simulation. IGARSS 2018: 7719-7722 - [c54]Radhika Ravi
Implementation of UAV-Based Lidar for High Throughput Phenotyping. IGARSS 2018: 8761-8764 - 2017
- [j42]Ayman Habib, Weifeng Xiong, Fangning He
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
Guest Editorial Computational Imaging for Earth Sciences. IEEE Trans. Computational Imaging 3(2): 144-145 (2017) - [j40]Zhou Zhang
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
Prediction of sorghum biomass based on image based features derived from time series of UAV images. IGARSS 2017: 6154-6157 - 2016
- [j39]Zhou Zhang
Multimetric Active Learning for Classification of Remote Sensing Data. IEEE Geosci. Remote. Sens. Lett. 13(7): 1007-1011 (2016) - [j38]Ayman Habib
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
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
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
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
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
Active-Metric Learning for Classification of Remotely Sensed Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 54(4): 1925-1939 (2016) - [c51]Zhou Zhang
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
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
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
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
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
Combining active and metric learning for hyperspectral image classification. WHISPERS 2014: 1-4 - [c46]Yuhang Zhang, Hsiuhan Lexie Yang
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
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
Active Learning: Any Value for Classification of Remotely Sensed Data? Proc. IEEE 101(3): 593-608 (2013) - [j24]Xiuping Jia
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
Learning a joint manifold with global-local preservation for multitemporal hyperspectral image classification. IGARSS 2013: 1047-1050 - [c43]Hsiuhan Lexie Yang
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
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
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
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
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
A Two-Stage Approach for Decomposition of ICESat Waveforms. IGARSS (3) 2008: 680-683 - 2007
- [j15]Kun-Shan Chen, Melba M. Crawford, Paolo Gamba
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
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
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
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 20:33 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: