A new ship detection model in ENVISAT ASAR imagery of WS mode

Peng Chen; Renyi Liu; Weigen Huang

doi:10.1117/12.830242

29 September 2009 A new ship detection model in ENVISAT ASAR imagery of WS mode

Peng Chen; Renyi Liu; Weigen Huang

Author Affiliations +

Proceedings Volume 7477, Image and Signal Processing for Remote Sensing XV; 747721 (2009) https://doi.org/10.1117/12.830242
Event: SPIE Remote Sensing, 2009, Berlin, Germany

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.

Citation Download Citation

Peng Chen, Renyi Liu, Weigen Huang, "A new ship detection model in ENVISAT ASAR imagery of WS mode", Proc. SPIE 7477, Image and Signal Processing for Remote Sensing XV, 747721 (29 September 2009); doi: 10.1117/12.830242; https://doi.org/10.1117/12.830242

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