An InSAR Interference Fringe-Matching Algorithm Based on Mountain Branch Points

Interferometric synthetic aperture radar (InSAR) is an integrated navigation technique that can be used for aircraft positioning and attitude retrieval, regardless of weather conditions. The key aspect of the entire system is interference fringe matching, which has not been extensively researched in...

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Main Authors: Gen Sun, Ning Liu, Bingnan Wang, Maosheng Xiang, Ruihua Shi, Lanyu Li, Yachao Wang
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/6/3941
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author Gen Sun
Ning Liu
Bingnan Wang
Maosheng Xiang
Ruihua Shi
Lanyu Li
Yachao Wang
author_facet Gen Sun
Ning Liu
Bingnan Wang
Maosheng Xiang
Ruihua Shi
Lanyu Li
Yachao Wang
author_sort Gen Sun
collection DOAJ
description Interferometric synthetic aperture radar (InSAR) is an integrated navigation technique that can be used for aircraft positioning and attitude retrieval, regardless of weather conditions. The key aspect of the entire system is interference fringe matching, which has not been extensively researched in existing literature. To address this gap, this paper proposes a terrain-feature-based interference fringe-matching algorithm. The proposed algorithm first extracts mountain line features from the interference fringes and identifies mountain branch points as key points for feature matching. A threshold is set to eliminate false detections of mountain branch points caused by phase mutation. Matching is then carried out by combining the mountain line features and curvature design feature descriptors of the area around a branch point. The proposed algorithm is verified using interference fringe data obtained from an actual flight experiment in Inner Mongolia, China, compared to a reference interference fringe dataset with errors. The results show that, under the condition of position error, the proposed algorithm yields 72 matching inliers with a precision of 0.103, a recall of 0.128, and an F1-Score of 0.144. Compared to traditional algorithms, our proposed algorithm significantly improves the problem of mismatch and opens up new possibilities for downstream interference fringe matching navigation technology. Furthermore, the proposed algorithm provides a new approach for remote sensing image matching using terrain features.
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spelling doaj.art-814b208c6fea413b8458e815cf5057322023-11-17T09:29:09ZengMDPI AGApplied Sciences2076-34172023-03-01136394110.3390/app13063941An InSAR Interference Fringe-Matching Algorithm Based on Mountain Branch PointsGen Sun0Ning Liu1Bingnan Wang2Maosheng Xiang3Ruihua Shi4Lanyu Li5Yachao Wang6National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, ChinaNorthern Institute of Technology in Electronic Equipment, Beijing 100191, ChinaNational Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, ChinaNational Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, ChinaNational Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, ChinaNational Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, ChinaNational Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, ChinaInterferometric synthetic aperture radar (InSAR) is an integrated navigation technique that can be used for aircraft positioning and attitude retrieval, regardless of weather conditions. The key aspect of the entire system is interference fringe matching, which has not been extensively researched in existing literature. To address this gap, this paper proposes a terrain-feature-based interference fringe-matching algorithm. The proposed algorithm first extracts mountain line features from the interference fringes and identifies mountain branch points as key points for feature matching. A threshold is set to eliminate false detections of mountain branch points caused by phase mutation. Matching is then carried out by combining the mountain line features and curvature design feature descriptors of the area around a branch point. The proposed algorithm is verified using interference fringe data obtained from an actual flight experiment in Inner Mongolia, China, compared to a reference interference fringe dataset with errors. The results show that, under the condition of position error, the proposed algorithm yields 72 matching inliers with a precision of 0.103, a recall of 0.128, and an F1-Score of 0.144. Compared to traditional algorithms, our proposed algorithm significantly improves the problem of mismatch and opens up new possibilities for downstream interference fringe matching navigation technology. Furthermore, the proposed algorithm provides a new approach for remote sensing image matching using terrain features.https://www.mdpi.com/2076-3417/13/6/3941interference fringeimage matchingmatching navigationmountain feature
spellingShingle Gen Sun
Ning Liu
Bingnan Wang
Maosheng Xiang
Ruihua Shi
Lanyu Li
Yachao Wang
An InSAR Interference Fringe-Matching Algorithm Based on Mountain Branch Points
Applied Sciences
interference fringe
image matching
matching navigation
mountain feature
title An InSAR Interference Fringe-Matching Algorithm Based on Mountain Branch Points
title_full An InSAR Interference Fringe-Matching Algorithm Based on Mountain Branch Points
title_fullStr An InSAR Interference Fringe-Matching Algorithm Based on Mountain Branch Points
title_full_unstemmed An InSAR Interference Fringe-Matching Algorithm Based on Mountain Branch Points
title_short An InSAR Interference Fringe-Matching Algorithm Based on Mountain Branch Points
title_sort insar interference fringe matching algorithm based on mountain branch points
topic interference fringe
image matching
matching navigation
mountain feature
url https://www.mdpi.com/2076-3417/13/6/3941
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