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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Main Authors: CHEN Lijuan, YU Yeluo, LIU Chenlong, CHEN Yehai, WU Zilian, LU Xiaobao, LI Yaqing
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2024-12-01
Series:Dianxin kexue
Subjects:
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