Evaluation of spectral and texture features for object-based vegetation species classification using support vector machines

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 38, Issue , 2010, Pages 122-127

  Li, Z ^a,b   Hayward, R ^a   Zhang, J ^a   Jin, H ^a   Walker, R ^b  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Classification; Feature; Multispectral; Object; Vegetation

Indexed keywords

FORESTRY; IMAGE SEGMENTATION; REMOTE SENSING; SPACE OPTICS; SUPPORT VECTOR MACHINES; TEXTURES; VECTOR SPACES; VEGETATION;

FEATURE; GRAY LEVEL CO OCCURRENCE MATRIX(GLCM); HIGH RESOLUTION MULTI-SPECTRAL IMAGERY; MULTI-SPECTRAL; OBJECT; RATIO VEGETATION INDICES; SPECTRAL VEGETATION INDICES; VEGETATION CLASSIFICATION;

CLASSIFICATION (OF INFORMATION);

CLASSIFICATION; IMAGE ANALYSIS; PLANTS; PROBLEM SOLVING; RESOLUTION;

EID: 84921868369     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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