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A sensing image segmentation scheme based on support vector machine and LBP model

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成果类型:
期刊论文
作者:
Xiao, Weichu;Chen, Weihong
作者机构:
[Xiao, Weichu] College of Communication and Electronic Engineering, Hunan City University, Yiyang 413002, Hunan, China
[Chen, Weihong] College of Information Science and Engineering, Hunan City University, Yiyang 413002 Hunan, China
语种:
英文
关键词:
Benchmark information diffusion;LBP model;Remote sensing image;Support vector machine
期刊:
International Journal of Applied Mathematics & Statistics
ISSN:
0973-1377
年:
2013
卷:
51
期:
21
页码:
484-493
机构署名:
本校为第一机构
院系归属:
信息与电子工程学院
摘要:
Sensing image has important geographical structure for detection and identification of the sense. In military and civilian, they have very important significances. It is proposed by support vector machine (SVM) and local binary pattern model in high-resolution remote sensing image of detection algorithm. Firstly, according to the target resolution remote sensing image features, sample image's texture features and structure features have the reference points of information diffusion eigenvectors and sample-based training support vector machine classifiers to achieve goals coarse split. Then coa...

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