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Proceedings Paper

A new ship detection model in ENVISAT ASAR imagery of WS mode
Author(s): Peng Chen; Renyi Liu; Weigen Huang
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Paper Abstract

As ENVISAT ASAR WS mode imagery is suitable for ship monitoring, a new ship detection model is presented in this paper. In the model, a new grid method and an improved CFAR algorithm were introduced. The grid method divides the SAR image into regular frames and chooses the highest average intensity as the stand average value in the round frames. Then we build the model using the deviation of the center frame. In order to examine the performance of the model, some ENVISAT ASAR WS images were used and the result shows that the performance is excellent in despite of the simple model.

Paper Details

Date Published: 29 September 2009
PDF: 5 pages
Proc. SPIE 7477, Image and Signal Processing for Remote Sensing XV, 747721 (29 September 2009); doi: 10.1117/12.830242
Show Author Affiliations
Peng Chen, Zhejiang Univ. (China)
The Second Institute of Oceanography, State Oceanic Administration (China)
Renyi Liu, Zhejiang Univ. (China)
Weigen Huang, The Second Institute of Oceanography, State Oceanic Administration (China)


Published in SPIE Proceedings Vol. 7477:
Image and Signal Processing for Remote Sensing XV
Lorenzo Bruzzone; Claudia Notarnicola; Francesco Posa, Editor(s)

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