Melba M. Crawford
Affiliations: | Civil Engineering | Purdue University, West Lafayette, IN, United States |
Area:
Remote Sensing, Environmental Engineering, Forestry and Wildlife AgricultureGoogle:
"Melba Crawford"Cross-listing: Envirotree
Children
Sign in to add traineeWei Di | grad student | 2011 | Purdue |
Jinha Jung | grad student | 2011 | Purdue |
Wonkook Kim | grad student | 2011 | Purdue |
Jun-Hwa Chi | grad student | 2013 | Purdue |
Hsiu-Han Yang | grad student | 2014 | Purdue |
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Publications
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Wang T, Crawford MM, Tuinstra MR. (2023) A novel transfer learning framework for sorghum biomass prediction using UAV-based remote sensing data and genetic markers. Frontiers in Plant Science. 14: 1138479 |
Zhang Z, Pasolli E, Crawford MM. (2020) An Adaptive Multiview Active Learning Approach for Spectral–Spatial Classification of Hyperspectral Images Ieee Transactions On Geoscience and Remote Sensing. 58: 2557-2570 |
Taskin G, Crawford MM. (2019) An Out-of-Sample Extension to Manifold Learning via Meta-Modelling. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society |
Ma L, Crawford MM, Zhu L, et al. (2019) Centroid and Covariance Alignment-Based Domain Adaptation for Unsupervised Classification of Remote Sensing Images Ieee Transactions On Geoscience and Remote Sensing. 57: 2305-2323 |
Chi J, Kim H, Lee S, et al. (2019) Deep learning based retrieval algorithm for Arctic sea ice concentration from AMSR2 passive microwave and MODIS optical data Remote Sensing of Environment. 231: 111204 |
Zhang Z, Crawford MM. (2017) A Batch-Mode Regularized Multimetric Active Learning Framework for Classification of Hyperspectral Images Ieee Transactions On Geoscience and Remote Sensing. 55: 6594-6609 |
Aeron S, Miller EL, Crawford M, et al. (2017) Guest Editorial Computational Imaging for Earth Sciences Ieee Transactions On Computational Imaging. 3: 144-145 |
Ibrahim E, Kim W, Crawford M, et al. (2017) A regression approach to the mapping of bio-physical characteristics of surface sediment using in situ and airborne hyperspectral acquisitions Ocean Dynamics. 67: 299-316 |
Habib A, Han Y, Xiong W, et al. (2016) Automated Ortho-Rectification of UAV-Based Hyperspectral Data over an Agricultural Field Using Frame RGB Imagery Remote Sensing. 8: 796 |
Pasolli E, Yang HL, Crawford MM. (2016) Active-metric learning for classification of remotely sensed hyperspectral images Ieee Transactions On Geoscience and Remote Sensing. 54: 1925-1939 |