A Multi-kernel Joint Sparse Graph for SAR Image Segmentation

Recently, more and more attention has been drawn on the study of sparse graph-based classification with respect to pattern recognition and computer vision. Sparse self-representation method features good category distinguishing performance, noise robustness, and data-adaptiveness. In this paper, a m...

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Bibliographic Details
Published in:	IEEE journal of selected topics in applied earth observations and remote sensing Vol. 9; no. 3; pp. 1265 - 1285
Main Authors:	Gu, Jing, Jiao, Licheng, Yang, Shuyuan, Liu, Fang, Hou, Biao, Zhao, Zhiqiang
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.03.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Categories Clustering algorithms Feature extraction Graphs Image segmentation Local spatial relation multi-kernel Noise Pattern recognition Similarity sparse representation (SR) Speckle Synthetic aperture radar synthetic aperture radar (SAR) image segmentation sparse representation (SR) synthetic aperture radar (SAR) image segmentation Local spatial relation multi-kernel
ISSN:	1939-1404, 2151-1535
Online Access:	Get full text
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