SAR Image Change Detection Based on Iterative Label-Information Composite Kernel Supervised by Anisotropic Texture

IEEE Transactions on Geoscience and Remote Sensing

Volumn 53, Issue 7, 2015, Pages 3960-3973

  Jia, Lu ^a   Li, Ming ^a   Wu, Yan ^a   Zhang, Peng ^a   Liu, Gaofeng ^a   Chen, Hongmeng ^a   An, Lin ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

Anisotropic texture analysis; kernel method and support vector machine (SVM); label information composite kernel (LIC kernel kernel); spatial contextual information; synthetic aperture radar (SAR) image change detection

Indexed keywords

ANISOTROPY; CONVOLUTION; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE REGISTRATION; IMAGE RETRIEVAL; IMAGE TEXTURE; ITERATIVE METHODS; RADAR; SIGNAL DETECTION; SPACE-BASED RADAR; SUPPORT VECTOR MACHINES; SYNTHETIC APERTURE RADAR; TEXTURES;

ANISOTROPIC TEXTURE; COMPOSITE KERNELS; CONTEXTUAL INFORMATION; KERNEL METHODS; SYNTHETIC APERTURE RADAR (SAR) IMAGES;

RADAR IMAGING;

ANISOTROPY; DETECTION METHOD; IMMUNITY; MACHINERY; NOISE; NONLINEARITY; PRESERVATION; SYNTHETIC APERTURE RADAR;

EID: 85027949832     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2015.2388495     Document Type: Article

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