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Research Article
Support vector machine regression (SVR)-based nonlinear modeling of radiometric transforming relation for the coarse-resolution data-referenced relative radiometric normalization (RRN)
Jing Genga School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China;b Beijing Institute of Technology, Beijing, China
https://orcid.org/0000-0003-4076-6134View further author information
Wenxia Ganc School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, ChinaCorrespondence[email protected]
https://orcid.org/0000-0002-2335-208XView further author information
Jinying Xuc School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, ChinaView further author information
, Ruqin Yangd Wuhan Natural Resources and Planning Information Center, Wuhan, ChinaView further author information
& Shuliang Wanga School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China;b Beijing Institute of Technology, Beijing, China
https://orcid.org/0000-0002-1387-1732View further author information
Pages 237-247
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Received 21 May 2020, Accepted 16 Jun 2020, Published online: 20 Jul 2020
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