Comprehensively analyzing optical and polarimetric SAR features for land-use/land-cover classification and urban vegetation extraction in highly-dense urban area | Zendy

Yunkun Bai | Zendy; Guangmin Sun | Zendy; Yu Li | Zendy; Peifeng Ma | Zendy; Gang Li | Zendy; Yuanzhi Zhang | Zendy

Open Access

Comprehensively analyzing optical and polarimetric SAR features for land-use/land-cover classification and urban vegetation extraction in highly-dense urban area

Author(s) -

Yunkun Bai,

Guangmin Sun,

Yu Li,

Peifeng Ma,

Gang Li,

Yuanzhi Zhang

Publication year - 2021

Publication title -

international journal of applied earth observation and geoinformation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.623

H-Index - 98

eISSN - 1872-826X

pISSN - 1569-8432

DOI - 10.1016/j.jag.2021.102496

Subject(s) - land cover , remote sensing , contextual image classification , polarimetry , random forest , vegetation (pathology) , feature extraction , computer science , normalized difference vegetation index , land use , information extraction , pattern recognition (psychology) , geography , artificial intelligence , geology , image (mathematics) , engineering , medicine , oceanography , civil engineering , physics , optics , pathology , climate change , scattering

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