On-Board Geometric Rectification for Micro-Satellite Based on Lightweight Feature Database
On-board processing is increasingly prevalent due to its efficient utilization of satellite resources. Among these resources, geometric rectification can significantly enhance positioning accuracy for subsequent tasks, such as object detection. This approach mitigates the heavy burden on downlink ba...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-11-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/22/5333 |
| _version_ | 1827638846431428608 |
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| author | Linhui Wang Yuming Xiang Zhenzhou Wang Hongjian You Yuxin Hu |
| author_facet | Linhui Wang Yuming Xiang Zhenzhou Wang Hongjian You Yuxin Hu |
| author_sort | Linhui Wang |
| collection | DOAJ |
| description | On-board processing is increasingly prevalent due to its efficient utilization of satellite resources. Among these resources, geometric rectification can significantly enhance positioning accuracy for subsequent tasks, such as object detection. This approach mitigates the heavy burden on downlink bandwidth and minimizes time delays by transmitting targeted patches rather than raw data. However, existing rectification methods are often unsuitable due to the limitations and conditions imposed on satellites. Factors like hardware quality, heat dissipation, storage space, and geographic positioning are frequently constrained and prone to inaccuracies. This paper proposes a novel on-board rectification method. The method introduces a two-step matching framework to address substantial positioning errors and incorporates a feature-compression strategy to reduce the storage space of reference patches. Quantitative and practical experiments demonstrate the method’s efficacy in terms of storage space, time efficiency, and geometric rectification accuracy. |
| first_indexed | 2024-03-09T16:29:32Z |
| format | Article |
| id | doaj.art-878bb456b3a9413d84311da2399bc122 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T16:29:32Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-878bb456b3a9413d84311da2399bc1222023-11-24T15:04:27ZengMDPI AGRemote Sensing2072-42922023-11-011522533310.3390/rs15225333On-Board Geometric Rectification for Micro-Satellite Based on Lightweight Feature DatabaseLinhui Wang0Yuming Xiang1Zhenzhou Wang2Hongjian You3Yuxin Hu4Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaOn-board processing is increasingly prevalent due to its efficient utilization of satellite resources. Among these resources, geometric rectification can significantly enhance positioning accuracy for subsequent tasks, such as object detection. This approach mitigates the heavy burden on downlink bandwidth and minimizes time delays by transmitting targeted patches rather than raw data. However, existing rectification methods are often unsuitable due to the limitations and conditions imposed on satellites. Factors like hardware quality, heat dissipation, storage space, and geographic positioning are frequently constrained and prone to inaccuracies. This paper proposes a novel on-board rectification method. The method introduces a two-step matching framework to address substantial positioning errors and incorporates a feature-compression strategy to reduce the storage space of reference patches. Quantitative and practical experiments demonstrate the method’s efficacy in terms of storage space, time efficiency, and geometric rectification accuracy.https://www.mdpi.com/2072-4292/15/22/5333on-board processingmicro-satelliterectificationlightweight database |
| spellingShingle | Linhui Wang Yuming Xiang Zhenzhou Wang Hongjian You Yuxin Hu On-Board Geometric Rectification for Micro-Satellite Based on Lightweight Feature Database Remote Sensing on-board processing micro-satellite rectification lightweight database |
| title | On-Board Geometric Rectification for Micro-Satellite Based on Lightweight Feature Database |
| title_full | On-Board Geometric Rectification for Micro-Satellite Based on Lightweight Feature Database |
| title_fullStr | On-Board Geometric Rectification for Micro-Satellite Based on Lightweight Feature Database |
| title_full_unstemmed | On-Board Geometric Rectification for Micro-Satellite Based on Lightweight Feature Database |
| title_short | On-Board Geometric Rectification for Micro-Satellite Based on Lightweight Feature Database |
| title_sort | on board geometric rectification for micro satellite based on lightweight feature database |
| topic | on-board processing micro-satellite rectification lightweight database |
| url | https://www.mdpi.com/2072-4292/15/22/5333 |
| work_keys_str_mv | AT linhuiwang onboardgeometricrectificationformicrosatellitebasedonlightweightfeaturedatabase AT yumingxiang onboardgeometricrectificationformicrosatellitebasedonlightweightfeaturedatabase AT zhenzhouwang onboardgeometricrectificationformicrosatellitebasedonlightweightfeaturedatabase AT hongjianyou onboardgeometricrectificationformicrosatellitebasedonlightweightfeaturedatabase AT yuxinhu onboardgeometricrectificationformicrosatellitebasedonlightweightfeaturedatabase |