Spectral and Texture Features Combined for Forest Tree species Classification with Airborne Hyperspectral Imagery

Journal of the Indian Society of Remote Sensing

Volumn 43, Issue 1, 2015, Pages 101-107

  Dian, Yuanyong ^a,b   Li, Zengyuan ^b   Pang, Yong ^b  

^a HUAZHONG AGRICULTURAL UNIVERSITY   (China)

^b RESEARCH INSTITUTE OF FORESTRY   (China)

Author keywords

GLCM; Hyperspectral image; Kernel function; SVM; Tree species classification

Indexed keywords

AIRBORNE SENSING; BAYESIAN ANALYSIS; FOREST CANOPY; FOREST MANAGEMENT; FOREST RESOURCE; GROWTH RATE; IMAGE CLASSIFICATION; LOGGING (TIMBER); NATURE RESERVE; SPATIAL ANALYSIS; SPECTRAL ANALYSIS; STAND STRUCTURE; TREE;

CHINA; HEILONGJIANG; LIANGSHUI NATURE RESERVE;

EID: 84941741201     PISSN: 0255660X     EISSN: 09743006     Source Type: Journal    
DOI: 10.1007/s12524-014-0392-6     Document Type: Article

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