Mismatching Removal for Feature-Point Matching Based on Triangular Topology Probability Sampling Consensus
Feature-point matching between two images is a fundamental process in remote-sensing applications, such as image registration. However, mismatching is inevitable, and it needs to be removed. It is difficult for existing methods to remove a high ratio of mismatches. To address this issue, a robust me...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/3/706 |
| _version_ | 1827658947768614912 |
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| author | Zaixing He Chentao Shen Quanyou Wang Xinyue Zhao Huilong Jiang |
| author_facet | Zaixing He Chentao Shen Quanyou Wang Xinyue Zhao Huilong Jiang |
| author_sort | Zaixing He |
| collection | DOAJ |
| description | Feature-point matching between two images is a fundamental process in remote-sensing applications, such as image registration. However, mismatching is inevitable, and it needs to be removed. It is difficult for existing methods to remove a high ratio of mismatches. To address this issue, a robust method, called triangular topology probability sampling consensus (TSAC), is proposed, which combines the topology network and resampling methods. The proposed method constructs the triangular topology of the feature points of two images, quantifies the mismatching probability for each point pair, and then weights the probability into the random process of RANSAC by calculating the optimal homography matrix between the two images so that the mismatches can be detected and removed. Compared with the state-of-the-art methods, TSAC has superior performances in accuracy and robustness. |
| first_indexed | 2024-03-09T23:12:41Z |
| format | Article |
| id | doaj.art-6e7bc09a32a64fe4a8c53f80efe15b84 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T23:12:41Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-6e7bc09a32a64fe4a8c53f80efe15b842023-11-23T17:42:10ZengMDPI AGRemote Sensing2072-42922022-02-0114370610.3390/rs14030706Mismatching Removal for Feature-Point Matching Based on Triangular Topology Probability Sampling ConsensusZaixing He0Chentao Shen1Quanyou Wang2Xinyue Zhao3Huilong Jiang4The State Key Laboratory of Fluid Power & Mechatronic Systems, Zhejiang University, Hangzhou 310027, ChinaThe State Key Laboratory of Fluid Power & Mechatronic Systems, Zhejiang University, Hangzhou 310027, ChinaThe State Key Laboratory of Fluid Power & Mechatronic Systems, Zhejiang University, Hangzhou 310027, ChinaThe State Key Laboratory of Fluid Power & Mechatronic Systems, Zhejiang University, Hangzhou 310027, ChinaHunan Vocational College of Science and Technology, Hunan Zhonghua Vocational Education Society, Changsha 410004, ChinaFeature-point matching between two images is a fundamental process in remote-sensing applications, such as image registration. However, mismatching is inevitable, and it needs to be removed. It is difficult for existing methods to remove a high ratio of mismatches. To address this issue, a robust method, called triangular topology probability sampling consensus (TSAC), is proposed, which combines the topology network and resampling methods. The proposed method constructs the triangular topology of the feature points of two images, quantifies the mismatching probability for each point pair, and then weights the probability into the random process of RANSAC by calculating the optimal homography matrix between the two images so that the mismatches can be detected and removed. Compared with the state-of-the-art methods, TSAC has superior performances in accuracy and robustness.https://www.mdpi.com/2072-4292/14/3/706feature-point matchingremote sensingtriangular topologymismatching removalprobability sampling consensusoptimized RANSAC |
| spellingShingle | Zaixing He Chentao Shen Quanyou Wang Xinyue Zhao Huilong Jiang Mismatching Removal for Feature-Point Matching Based on Triangular Topology Probability Sampling Consensus Remote Sensing feature-point matching remote sensing triangular topology mismatching removal probability sampling consensus optimized RANSAC |
| title | Mismatching Removal for Feature-Point Matching Based on Triangular Topology Probability Sampling Consensus |
| title_full | Mismatching Removal for Feature-Point Matching Based on Triangular Topology Probability Sampling Consensus |
| title_fullStr | Mismatching Removal for Feature-Point Matching Based on Triangular Topology Probability Sampling Consensus |
| title_full_unstemmed | Mismatching Removal for Feature-Point Matching Based on Triangular Topology Probability Sampling Consensus |
| title_short | Mismatching Removal for Feature-Point Matching Based on Triangular Topology Probability Sampling Consensus |
| title_sort | mismatching removal for feature point matching based on triangular topology probability sampling consensus |
| topic | feature-point matching remote sensing triangular topology mismatching removal probability sampling consensus optimized RANSAC |
| url | https://www.mdpi.com/2072-4292/14/3/706 |
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