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Small target detection based on weighted self-information map

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成果类型:
期刊论文
作者:
Deng, He*;Wei, Yantao;Tong, Mingwen
通讯作者:
Deng, He
作者机构:
[Deng, He; Wei, Yantao; Tong, Mingwen] Cent China Normal Univ, Dept Informat Technol, Wuhan 430079, Peoples R China.
通讯机构:
[Deng, He] C
Cent China Normal Univ, Dept Informat Technol, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Background suppression;Parzen window;Self-information map;Small target detection;Threshold segmentation
期刊:
Infrared Physics & Technology
ISSN:
1350-4495
年:
2013
卷:
60
页码:
197-206
基金类别:
Fundamental Research Funds for the Central Universities of ChinaFundamental Research Funds for the Central Universities
机构署名:
本校为第一且通讯机构
院系归属:
教育信息技术学院
摘要:
The target growing effect and large calculation are two major drawbacks in small target detection based on the self-information map. Consequently, a weighted self-information map is proposed to overcome those disadvantages in this paper. The removal of the target growing effect from the weighted self-information map is proved theoretically, which is capable of improving the capability of small target detection. Based on the weighted self-information map and the improved region growing technology, a small-target detection approach is constructed...

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