A System Error Self-Correction Target-Positioning Method in Video Satellite Observation
Salvato in:
| Pubblicato in: | Remote Sensing vol. 17, no. 17 (2025), p. 2935-2959 |
|---|---|
| Autore principale: | |
| Altri autori: | , , , |
| Pubblicazione: |
MDPI AG
|
| Soggetti: | |
| Accesso online: | Citation/Abstract Full Text + Graphics Full Text - PDF |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3249714388 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2072-4292 | ||
| 024 | 7 | |a 10.3390/rs17172935 |2 doi | |
| 035 | |a 3249714388 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231556 |2 nlm | ||
| 100 | 1 | |a Bai Xiangru | |
| 245 | 1 | |a A System Error Self-Correction Target-Positioning Method in Video Satellite Observation | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Satellite-based target positioning is vital for applications like disaster relief and precision mapping. Practically, satellite errors, e.g., thermal deformation and attitude errors, lead to a mix of fixed and random errors in the measured line-of-sight angles, resulting in a decline in target-positioning accuracy. Motivated by this concern, this study introduces a systematic error self-correction target-positioning method under continuous observations using a single video satellite. After analyzing error sources and establishing an error-inclusive positioning model, we formulate a dimension-extended equation estimating both target position and fixed biases. Based on the equation, a projection transformation method is proposed to obtain the linearized estimation of unknown parameters first, and an iterative optimization method is then utilized to further refine the estimate. Compared with state-of-the-art algorithms, the proposed method can improve positioning accuracy by 98.70% in simulation scenarios with large fixed errors. Thus, the simulation and actual data calculation results demonstrate that, compared with state-of-the-art algorithms, the proposed algorithm effectively improves the target-positioning accuracy under non-ideal error conditions. | |
| 653 | |a Accuracy | ||
| 653 | |a Systematic errors | ||
| 653 | |a Random errors | ||
| 653 | |a Kinematics | ||
| 653 | |a Disaster relief | ||
| 653 | |a Algorithms | ||
| 653 | |a Error correction | ||
| 653 | |a Calibration | ||
| 653 | |a Line of sight | ||
| 653 | |a Methods | ||
| 653 | |a Satellite observation | ||
| 653 | |a Satellites | ||
| 653 | |a Estimation | ||
| 653 | |a Parameter estimation | ||
| 700 | 1 | |a Song, Haibo | |
| 700 | 1 | |a Fan Caizhi | |
| 700 | 1 | |a Hao Liwei | |
| 700 | 1 | |a Yang Yueneng | |
| 773 | 0 | |t Remote Sensing |g vol. 17, no. 17 (2025), p. 2935-2959 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3249714388/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3249714388/fulltextwithgraphics/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3249714388/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch |