LAND COVER CLASSIFICATION OF REMOTELY SENSED IMAGERY USING A METHOD BASED ON TOPOGRAPHICAL RESTRICTIVE FEATURES: A CASE STUDY OF THE JINHE WATERSHED | Zendy

Hong Jun | Zendy; Jianping Ge | Zendy; Tijiu Cai | Zendy; NIE Yi-Huang | Zendy

Open Access

LAND COVER CLASSIFICATION OF REMOTELY SENSED IMAGERY USING A METHOD BASED ON TOPOGRAPHICAL RESTRICTIVE FEATURES: A CASE STUDY OF THE JINHE WATERSHED

Author(s) -

Hong Jun,

Jianping Ge,

Tijiu Cai,

NIE Yi-Huang

Publication year - 2005

Publication title -

chinese journal of plant ecology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.252

H-Index - 9

ISSN - 1005-264X

DOI - 10.17521/cjpe.2005.0121

Subject(s) - land cover , remote sensing , watershed , vegetation (pathology) , vegetation classification , normalized difference vegetation index , contextual image classification , image resolution , elevation (ballistics) , pattern recognition (psychology) , cartography , land use , computer science , artificial intelligence , geography , geology , mathematics , image (mathematics) , machine learning , climate change , ecology , medicine , oceanography , geometry , pathology , biology

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