A cloud image detection method based on SVM vector machine

Neurocomputing

Volumn 169, Issue , 2015, Pages 34-42

  Li, Pengfei ^a   Dong, Limin ^a   Xiao, Huachao ^b   Xu, Mingliang ^c  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b CHINA ACADEMY OF SPACE TECHNOLOGY   (China)

^c ZHENGZHOU UNIVERSITY   (China)

Author keywords

Cloud image detection SVM vector machine; Satellite remote sensing image

Indexed keywords

DATA HANDLING; LUMINANCE; REMOTE SENSING; SMALL SATELLITES; SUPPORT VECTOR MACHINES; TEXTURES; VECTORS;

CLASSIFICATION MODELS; DETECTION ACCURACY; GRAY LEVEL CO-OCCURRENCE MATRIX; LEARNING SAMPLES; SATELLITE REMOTE SENSING; SECOND ORDER MOMENT; TEXTURE FEATURES; VECTOR MACHINES;

IMAGE ENHANCEMENT;

ALGORITHM; ARTICLE; CLASSIFIER; CLOUD IMAGE DETECTION METHOD; DATA ANALYSIS; IMAGE ANALYSIS; IMAGE QUALITY; IMAGING AND DISPLAY; MACHINE LEARNING; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; QUANTITATIVE ANALYSIS; REMOTE SENSING; SATELLITE REMOTE SENSING IMAGE; SUPPORT VECTOR MACHINE;

EID: 84938204964     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.09.102     Document Type: Article

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