Research on stitching method of satellite visual navigation image
In the space environment, visual sensors capture images with single colors, weak textures, and few feature points, making image stitching difficult. The Hessian matrix and scale space were constructed to obtain matching points through non maximum suppression, using Harris corner detection algorithm...
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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2024-12-01
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Series: | Dianxin kexue |
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Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024249/ |
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author | CHEN Lijuan YU Yeluo LIU Chenlong CHEN Yehai WU Zilian LU Xiaobao LI Yaqing |
author_facet | CHEN Lijuan YU Yeluo LIU Chenlong CHEN Yehai WU Zilian LU Xiaobao LI Yaqing |
author_sort | CHEN Lijuan |
collection | DOAJ |
description | In the space environment, visual sensors capture images with single colors, weak textures, and few feature points, making image stitching difficult. The Hessian matrix and scale space were constructed to obtain matching points through non maximum suppression, using Harris corner detection algorithm to construct feature point descriptors. RANSAC algorithm was used to filter the matching results and obtain the homography matrix for concatenation. In addition, satellite images were used in the experimental section to compare the processing performance of Harris corner detection algorithm with other algorithms. The results show that the Harris corner detection algorithm has better image stitching performance, and can be used to quickly stitch satellite images using the limited computing power of onboard processing units based on the Harris corner detection algorithm. |
format | Article |
id | doaj-art-b7600967e41742a8b49a890501364746 |
institution | Kabale University |
issn | 1000-0801 |
language | zho |
publishDate | 2024-12-01 |
publisher | Beijing Xintong Media Co., Ltd |
record_format | Article |
series | Dianxin kexue |
spelling | doaj-art-b7600967e41742a8b49a8905013647462025-01-15T03:34:20ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012024-12-0140869279426092Research on stitching method of satellite visual navigation imageCHEN LijuanYU YeluoLIU ChenlongCHEN YehaiWU ZilianLU XiaobaoLI YaqingIn the space environment, visual sensors capture images with single colors, weak textures, and few feature points, making image stitching difficult. The Hessian matrix and scale space were constructed to obtain matching points through non maximum suppression, using Harris corner detection algorithm to construct feature point descriptors. RANSAC algorithm was used to filter the matching results and obtain the homography matrix for concatenation. In addition, satellite images were used in the experimental section to compare the processing performance of Harris corner detection algorithm with other algorithms. The results show that the Harris corner detection algorithm has better image stitching performance, and can be used to quickly stitch satellite images using the limited computing power of onboard processing units based on the Harris corner detection algorithm.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024249/Harris corner detectionSURF algorithmRANSACimage stitching |
spellingShingle | CHEN Lijuan YU Yeluo LIU Chenlong CHEN Yehai WU Zilian LU Xiaobao LI Yaqing Research on stitching method of satellite visual navigation image Dianxin kexue Harris corner detection SURF algorithm RANSAC image stitching |
title | Research on stitching method of satellite visual navigation image |
title_full | Research on stitching method of satellite visual navigation image |
title_fullStr | Research on stitching method of satellite visual navigation image |
title_full_unstemmed | Research on stitching method of satellite visual navigation image |
title_short | Research on stitching method of satellite visual navigation image |
title_sort | research on stitching method of satellite visual navigation image |
topic | Harris corner detection SURF algorithm RANSAC image stitching |
url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024249/ |
work_keys_str_mv | AT chenlijuan researchonstitchingmethodofsatellitevisualnavigationimage AT yuyeluo researchonstitchingmethodofsatellitevisualnavigationimage AT liuchenlong researchonstitchingmethodofsatellitevisualnavigationimage AT chenyehai researchonstitchingmethodofsatellitevisualnavigationimage AT wuzilian researchonstitchingmethodofsatellitevisualnavigationimage AT luxiaobao researchonstitchingmethodofsatellitevisualnavigationimage AT liyaqing researchonstitchingmethodofsatellitevisualnavigationimage |