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Proceedings Paper

Influence of multi-look processing to SAR ship detection
Author(s): Jingsong Yang; Juan Wang; Qingmei Xiao; Peng Chen; Weigen Huang
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Paper Abstract

Single look complex data collected by SIR-C SAR are used to generate images of different looks by multi-look processing. The equivalent number of looks (ENL), spatial resolution, and ship-sea contrast of these images are analyzed. It shows that on the one hand, multi-look processing increases ENL hence improves image quality which is good for ship detection; on the other hand, multi-look processing also decreases spatial resolution and ship-sea contrast which goes ill with ship detection. Two typical ship detection algorithms such as adaptive threshold algorithm (ATA) and K-distribution based algorithm (KBA) are used to detect ship targets from these multi-look processed images. Case studies show that the figures of merit (FOMs) for 3-look processed images using ATA algorithm and FOMs for 2-look processed images using KBA algorithm are relatively larger. This means the most appropriate choice of multi-look processing of SAR images for ship detection is 2 or 3-look processing.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749525 (30 October 2009); doi: 10.1117/12.833197
Show Author Affiliations
Jingsong Yang, Second Institute of Oceanography, State Oceanic Administration (China)
Juan Wang, Second Institute of Oceanography, State Oceanic Administration (China)
Qingmei Xiao, Second Institute of Oceanography, State Oceanic Administration (China)
Peng Chen, Second Institute of Oceanography, State Oceanic Administration (China)
Weigen Huang, Second Institute of Oceanography, State Oceanic Administration (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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