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  2006, Vol. 19 Issue (4): 552-556    DOI:
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Fast Recognition of Harbor Target in Large Scale Remote Sensor Images
ZHU Bing, LI JinZong, CHEN AiJun
School of Astronautics, Harbin Institute of Technology, Harbin 150001

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Abstract  A fast recognition method of the harbor target in large gray remote sense image is presented. Multiresolution processing is used to detect big, middle and small harbor respectively, and threshold processing method is introduced to segment image into seawater and land. Then a fast method of extracting the candidate harbor region is established based on the statistic representation of block. Finally fast recognition of harbor is implemented according to its inherent feature (half close of seawater). Eighteen large images are used to test the proposed algorithm, and the result shows that harbor images with 10000 by 10000 pixels can be detected in three seconds and recognition rate is 93.9%.
Key wordsMultiScale      Expectation Maximization Algorithm      Feature Extraction      Threshold Segmentation     
Received: 09 March 2005     
ZTFLH: TN911.73  
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ZHU Bing
LI JinZong
CHEN AiJun
Cite this article:   
ZHU Bing,LI JinZong,CHEN AiJun. Fast Recognition of Harbor Target in Large Scale Remote Sensor Images[J]. , 2006, 19(4): 552-556.
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http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2006/V19/I4/552
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