Melba M. Crawford

7.7k citations

184 papers · 6.0k · 4 hit papers · h-index 36

Impact in

Media Technology top 0.05%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
Atmospheric Science top 1%
- Remote Sensing and Land Use

Papers in

Media Technology 88
- Remote-Sensing Image Classification 87
Computer Vision and Pattern Recognition 61
- Image Retrieval and Classification Techniques 24
- Face and Expression Recognition 22
- Advanced Image and Video Retrieval Techniques 19

Co-authors: Joydeep Ghosh (18 shared papers)Li Ma (6 shared papers)Jinwen Tian (3 shared papers)H. Lexie Yang (14 shared papers)Shailesh Kumar (8 shared papers)Suju Rajan (3 shared papers)Di Wei (5 shared papers)Bor‐Chen Kuo (2 shared papers)
Journals: IEEE Transactions on Geoscience and Remote Sensing (25 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (12 papers)Remote Sensing (7 papers)IEEE Geoscience and Remote Sensing Letters (4 papers)Frontiers in Plant Science (3 papers)
Partner nations: United States South Korea Italy

In The Last Decade

Melba M. Crawford

178 papers receiving 5.7k citations

Melba M. Crawford's Hit Papers

align trajectories log scale

YOLOv5-Tassel: Detecting Tassels in RGB UAV Imagery With Improved YOLOv5 Based on Transfer Learning 2022 · 217 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2022 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
2013 Proceedings of the IEEE
2010 IEEE Transactions on Geoscience and Remote Sensing
2005 IEEE Transactions on Geoscience and Remote Sensing

Peers

Countries citing papers authored by Melba M. Crawford

Since Specialization

Citations

This map shows the geographic impact of Melba M. Crawford's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Melba M. Crawford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melba M. Crawford more than expected).

Fields of papers citing papers by Melba M. Crawford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melba M. Crawford. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Melba M. Crawford. The network helps show where Melba M. Crawford may publish in the future.

Co-authors

The 25 scholars most cited alongside Melba M. Crawford, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Melba M. Crawford Line = papers co-authored together Melba M. Crawford links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 184 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Investigation of the random forest framework for classification of hyperspectral data IEEE Transactions on Geoscience and Remote Sensing ·(unknown), Yangchi Chen, Melba M. Crawford, Joydeep Ghosh Hit paper breakdown →	2005	1000
2	Local Manifold Learning-Based $k$ -Nearest-Neighbor for Hyperspectral Image Classification IEEE Transactions on Geoscience and Remote Sensing ·Li Ma, Melba M. Crawford, Jinwen Tian Hit paper breakdown →	2010	427
3	Feature Mining for Hyperspectral Image Classification Proceedings of the IEEE ·Xiuping Jia, Bor‐Chen Kuo, Melba M. Crawford Hit paper breakdown →	2013	307
4	An Active Learning Approach to Hyperspectral Data Classification IEEE Transactions on Geoscience and Remote Sensing ·Suju Rajan, Joydeep Ghosh, Melba M. Crawford	2008	245
5	Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning IEEE Signal Processing Magazine ·Dalton Lunga, Saurabh Prasad, Melba M. Crawford, Okan K. Ersoy	2013	223
6	YOLOv5-Tassel: Detecting Tassels in RGB UAV Imagery With Improved YOLOv5 Based on Transfer Learning IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·Wei Liu, Karoll Quijano, Melba M. Crawford Hit paper breakdown →	2022	217
7	Best-bases feature extraction algorithms for classification of hyperspectral data IEEE Transactions on Geoscience and Remote Sensing ·Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford	2001	177
8	Active Learning: Any Value for Classification of Remotely Sensed Data? Proceedings of the IEEE ·Melba M. Crawford, Devis Tuia, H. Lexie Yang	2013	146
9	Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis Pattern Analysis and Applications ·Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford	2002	122
10	Transfer Function Models of Daily Urban Water Use Water Resources Research ·David R. Maidment, Shaw‐Pin Miaou, Melba M. Crawford	1985	121
11	Local-Manifold-Learning-Based Graph Construction for Semisupervised Hyperspectral Image Classification IEEE Transactions on Geoscience and Remote Sensing ·Li Ma, Melba M. Crawford, Xiaoquan Yang, Yan Guo	2014	106
12	View Generation for Multiview Maximum Disagreement Based Active Learning for Hyperspectral Image Classification IEEE Transactions on Geoscience and Remote Sensing ·Di Wei, Melba M. Crawford	2011	101
13	Modeling and simulation of a nonhomogeneous poisson process having cyclic behavior Communications in Statistics - Simulation and Computation ·Sanghoon Lee, James R. Wilson, Melba M. Crawford	1991	86
14	Active Learning via Multi-View and Local Proximity Co-Regularization for Hyperspectral Image Classification IEEE Journal of Selected Topics in Signal Processing ·Di Wei, Melba M. Crawford	2011	85
15	Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data IEEE Transactions on Geoscience and Remote Sensing ·Suju Rajan, Joydeep Ghosh, Melba M. Crawford	2006	77
16	Adaptive Classification for Hyperspectral Image Data Using Manifold Regularization Kernel Machines IEEE Transactions on Geoscience and Remote Sensing ·Wonkook Kim, Melba M. Crawford	2010	75
17	Ensemble Multiple Kernel Active Learning For Classification of Multisource Remote Sensing Data IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·Yuhang Zhang, H. Lexie Yang, Saurabh Prasad, Edoardo Pasolli, Jinha Jung, Melba M. Crawford	2014	75
18	An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·Zhou Zhang, Edoardo Pasolli, Melba M. Crawford, James C. Tilton	2015	74
19	Centroid and Covariance Alignment-Based Domain Adaptation for Unsupervised Classification of Remote Sensing Images IEEE Transactions on Geoscience and Remote Sensing ·Li Ma, Melba M. Crawford, Lei Zhu, Yong Liu	2018	70
20	Anomaly Detection for Hyperspectral Images Based on Robust Locally Linear Embedding Journal of Infrared Millimeter and Terahertz Waves ·Li Ma, Melba M. Crawford, Jinwen Tian	2010	67

About Melba M. Crawford

Melba M. Crawford is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Environmental Engineering, Ecology and Atmospheric Science, having authored 184 papers that have together received 6.0k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (87 papers), Remote Sensing in Agriculture (50 papers), Remote Sensing and LiDAR Applications (38 papers), Remote Sensing and Land Use (31 papers), Image Retrieval and Classification Techniques (24 papers), Face and Expression Recognition (22 papers), Advanced Image and Video Retrieval Techniques (19 papers) and Smart Agriculture and AI (18 papers). The work is most often cited by research in Media Technology (3.5k citations), Atmospheric Science (1.9k citations), Computer Vision and Pattern Recognition (1.8k citations), Analytical Chemistry (532 citations) and Environmental Engineering (732 citations). Melba M. Crawford has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Joydeep Ghosh, Li Ma, Jinwen Tian, H. Lexie Yang, Shailesh Kumar, Suju Rajan, Di Wei, Bor‐Chen Kuo, Xiuping Jia and Saurabh Prasad. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Remote Sensing, IEEE Geoscience and Remote Sensing Letters and Frontiers in Plant Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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Melba M. Crawford

Melba M. Crawford's Hit Papers

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