A Precise Method for Calculating the Resolution of SAR Distribution Targets

Yanfei WANG; Xinxing CHEN

doi:10.11999/JEIT180294

Volume 40 Issue 12

Nov. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(12): 2848-2853

Yanfei WANG, Xinxing CHEN. A Precise Method for Calculating the Resolution of SAR Distribution Targets[J]. Journal of Electronics & Information Technology, 2018, 40(12): 2848-2853. doi: 10.11999/JEIT180294

Citation:

Yanfei WANG, Xinxing CHEN. A Precise Method for Calculating the Resolution of SAR Distribution Targets[J]. Journal of Electronics & Information Technology, 2018, 40(12): 2848-2853. doi: 10.11999/JEIT180294

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A Precise Method for Calculating the Resolution of SAR Distribution Targets

doi: 10.11999/JEIT180294

Yanfei WANG¹,
Xinxing CHEN^{1, 2
,
,}

1.
Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China
2.
University of Chinese Academy of Sciences, Beijing 100049, China

Funds: The National Natural Science Foundation of China (61471340), The National Key Research and Development Program (2017YFB0503001)

Received Date: 2018-03-28
Rev Recd Date: 2018-08-13

Available Online: 2018-09-03

Publish Date: 2018-12-01

Abstract

Abstract

The separable probability is a significant criterion to evaluate the resolution characteristics of SAR distribution targets. On the basis of refining the separable condition of targets and taking the statistic characteristic of SAR distribution targets into consideration, a new separable judgment criterion for targets is proposed, and a precise calculation method of the separable probability is deduced. Besides, in order to simplify the calculation, the approximate calculation method with less computational complexity is presented. It is shown in the simulation results that the proposed method is in accordance with the actual situation, which can reflect the effect of the statistic characteristic of SAR distribution target on the resolution characteristic, and can provide theoretical support for the SAR image quality evaluation and system parameter design.
- SAR,
- Distributed targets,
- Separable probability,
- Statistical properties,
- Reflective intensity

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References(13)

References

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