HIGHLIGHTS
- who: Ruijuan Wu and Jing Wang from the Key Laboratory for Digital Land and Resources of Jiangxi Province, East China University of Technology have published the research: Identifying Coastal Wetlands Changes Using a High-Resolution Optical Images Feature Hierarchical Selection Method, in the Journal: (JOURNAL) of 22/03/2018
- what: In this paper, the jumping degree tk was designed for feature hierarchical selection.
- how: The feature selection results showed that the feature hierarchical selection method could provide a quantitative reference for optimal feature subsets selection.
SUMMARY
Published maps and . . .
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