SAR Image Registration Using SAR-FAST Corner Detection

LIU Yan; YU Huai; YANG Wen; LI Li

doi:10.11999/JEIT160386

Volume 39 Issue 2

Feb. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(2): 430-436

LIU Yan, YU Huai, YANG Wen, LI Li. SAR Image Registration Using SAR-FAST Corner Detection[J]. Journal of Electronics & Information Technology, 2017, 39(2): 430-436. doi: 10.11999/JEIT160386

Citation:

LIU Yan, YU Huai, YANG Wen, LI Li. SAR Image Registration Using SAR-FAST Corner Detection[J]. Journal of Electronics & Information Technology, 2017, 39(2): 430-436. doi: 10.11999/JEIT160386

LIU Yan, YU Huai, YANG Wen, LI Li. SAR Image Registration Using SAR-FAST Corner Detection[J]. Journal of Electronics & Information Technology, 2017, 39(2): 430-436. doi: 10.11999/JEIT160386

Citation:

LIU Yan, YU Huai, YANG Wen, LI Li. SAR Image Registration Using SAR-FAST Corner Detection[J]. Journal of Electronics & Information Technology, 2017, 39(2): 430-436. doi: 10.11999/JEIT160386

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SAR Image Registration Using SAR-FAST Corner Detection

doi: 10.11999/JEIT160386

LIU Yan¹,
YU Huai¹,
YANG Wen^{1
,
,},
LI Li¹

Funds:

The National Natural Science Foundation of China (61271401,61331016)

Received Date: 2016-04-20
Rev Recd Date: 2016-08-30
Publish Date: 2017-02-19

Abstract

Abstract

As the basis of change detection and image fusion, SAR image registration plays an important role in the interpretation of multi-temporal SAR images. This paper presents a method of SAR image registration based on corner detection using SAR-FAST, which is a customized version of Features from Accelerated Segment Test (FAST) for processing SAR images. The proposed method firstly employs rolling guidance filter to suppress speckle noise. Secondly, the candidate corner point is determined by quantitative analysis of the dissimilarities of the detection windows on the extended circle and the center window. Finally, the error detections are removed by analyzing the intensity distribution properties of the candidate corners. The experimental results show that SAR-FAST can detect a sufficient number of corners with stability and high repeatability, and when applying to image registration, it also can get better registration results.
- SAR,
- Corner detection,
- Feature description,
- Image registration

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References(21)

References

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