An Automatic and Novel SAR Image Registration Algorithm: A Case Study of the Chinese GF-3 Satellite
The Chinese GF-3 satellite launched in August 2016 is a Synthetic Aperture Radar (SAR) satellite that has the largest number of imaging modes in the world. It achieves a free switch in the spotlight, stripmap, scanSAR, wave, global observation and other imaging modes. In order to further utilize GF-...
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doaj-3865acec171349b2b8879b4b2291bbfe2020-11-24T20:48:25ZengMDPI AGSensors1424-82202018-02-0118267210.3390/s18020672s18020672An Automatic and Novel SAR Image Registration Algorithm: A Case Study of the Chinese GF-3 SatelliteYuming Xiang0Feng Wang1Hongjian You2Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, ChinaKey Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, ChinaKey Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, ChinaThe Chinese GF-3 satellite launched in August 2016 is a Synthetic Aperture Radar (SAR) satellite that has the largest number of imaging modes in the world. It achieves a free switch in the spotlight, stripmap, scanSAR, wave, global observation and other imaging modes. In order to further utilize GF-3 SAR images, an automatic and fast image registration procedure needs to be done. In this paper, we propose a novel image registration technique for GF-3 images of different imaging modes. The proposed algorithm consists of two stages: coarse registration and fine registration. In the first stage, we combine an adaptive sampling method with the SAR-SIFT algorithm to efficiently eliminate obvious translation, rotation and scale differences between the reference and sensed images. In the second stage, uniformly-distributed control points are extracted, then the fast normalized cross-correlation of an improved phase congruency model is utilized as a new similarity metric to match the reference image and the coarse-registered image in a local search region. Moreover, a selection strategy is used to remove outliers. Experimental results on several GF-3 SAR images of different imaging modes show that the proposed algorithm gives a robust, efficient and precise registration performance, compared with other state-of-the-art algorithms for SAR image registration.http://www.mdpi.com/1424-8220/18/2/672SARimage registrationSAR-SIFTphase congruencyGF-3 satellite |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yuming Xiang Feng Wang Hongjian You |
spellingShingle |
Yuming Xiang Feng Wang Hongjian You An Automatic and Novel SAR Image Registration Algorithm: A Case Study of the Chinese GF-3 Satellite Sensors SAR image registration SAR-SIFT phase congruency GF-3 satellite |
author_facet |
Yuming Xiang Feng Wang Hongjian You |
author_sort |
Yuming Xiang |
title |
An Automatic and Novel SAR Image Registration Algorithm: A Case Study of the Chinese GF-3 Satellite |
title_short |
An Automatic and Novel SAR Image Registration Algorithm: A Case Study of the Chinese GF-3 Satellite |
title_full |
An Automatic and Novel SAR Image Registration Algorithm: A Case Study of the Chinese GF-3 Satellite |
title_fullStr |
An Automatic and Novel SAR Image Registration Algorithm: A Case Study of the Chinese GF-3 Satellite |
title_full_unstemmed |
An Automatic and Novel SAR Image Registration Algorithm: A Case Study of the Chinese GF-3 Satellite |
title_sort |
automatic and novel sar image registration algorithm: a case study of the chinese gf-3 satellite |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2018-02-01 |
description |
The Chinese GF-3 satellite launched in August 2016 is a Synthetic Aperture Radar (SAR) satellite that has the largest number of imaging modes in the world. It achieves a free switch in the spotlight, stripmap, scanSAR, wave, global observation and other imaging modes. In order to further utilize GF-3 SAR images, an automatic and fast image registration procedure needs to be done. In this paper, we propose a novel image registration technique for GF-3 images of different imaging modes. The proposed algorithm consists of two stages: coarse registration and fine registration. In the first stage, we combine an adaptive sampling method with the SAR-SIFT algorithm to efficiently eliminate obvious translation, rotation and scale differences between the reference and sensed images. In the second stage, uniformly-distributed control points are extracted, then the fast normalized cross-correlation of an improved phase congruency model is utilized as a new similarity metric to match the reference image and the coarse-registered image in a local search region. Moreover, a selection strategy is used to remove outliers. Experimental results on several GF-3 SAR images of different imaging modes show that the proposed algorithm gives a robust, efficient and precise registration performance, compared with other state-of-the-art algorithms for SAR image registration. |
topic |
SAR image registration SAR-SIFT phase congruency GF-3 satellite |
url |
http://www.mdpi.com/1424-8220/18/2/672 |
work_keys_str_mv |
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