Iceberg detection of polar regions using CFAR iteration for SAR image blocks

Liu Zhenyu; Zhang Yi; Zhang Xi; Zhang Ting

doi:10.3969/j.issn.0253-4193.2018.11.014

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Liu Zhenyu, Zhang Yi, Zhang Xi, Zhang Ting. Iceberg detection of polar regions using CFAR iteration for SAR image blocks[J]. Haiyang Xuebao, 2018, 40(11): 141-148. doi: 10.3969/j.issn.0253-4193.2018.11.014

Citation:

Liu Zhenyu, Zhang Yi, Zhang Xi, Zhang Ting. Iceberg detection of polar regions using CFAR iteration for SAR image blocks[J]. Haiyang Xuebao, 2018, 40(11): 141-148. doi: 10.3969/j.issn.0253-4193.2018.11.014

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Iceberg detection of polar regions using CFAR iteration for SAR image blocks

doi: 10.3969/j.issn.0253-4193.2018.11.014

1.
College of Resource and Environment Science, South-Central University for Nationalities, Wuhan 430074, China
2.
Key Laboratory of Space Ocean Remote Sensing and Application, State Oceanic Administration, Beijing 100081, China
3.
The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China

Received Date: 2018-01-23
Rev Recd Date: 2018-04-17

Abstract

Abstract

In this paper, an iceberg detection method based on image blocks is proposed using iterative CFAR algorithm. Considering the large computational burden and low computational efficiency of sliding windows, the SAR image is blocked first to detect iceberg shown as bright objects in blocks. The Gauss model is used to characterize the statistical distribution of backscatter coefficient. The iceberg detection threshold can be simply expressed as a linear combination of mean and variance (μ+n_σ), compared with which the iceberg pixels are detected. Considering the impact of large size icebergs in the same scene, the identified iceberg pixels as seeds are grown to detect large size icebergs. In order to reduce the error of Gauss model to characterize the block statistical distribution and improve the accuracy of iceberg detection, iterative processing is done for a single block. The method is validated by two RADARSAT-2 images acquired on November 22 and 29, 2013 in polar sea area. The results show that these icebergs with large number, size change and embedded into, which is common on the poles, can be effectively detected by the method in this paper, the accuracy rate is more than 85%, and it has high operation efficiency.
- iceberg,
- CFAR iteration,
- SAR image blocks,
- the poles

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References(13)

References

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