Weak-Observation-Aware Multi-Object Tracking in Satellite Video with Temporal Evidence and Trajectory Reliability.
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| Title: | Weak-Observation-Aware Multi-Object Tracking in Satellite Video with Temporal Evidence and Trajectory Reliability. |
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| Authors: | Hu, Fen1 (AUTHOR), Yang, Peng1 (AUTHOR), Dou, Jie1 (AUTHOR), Dou, Lei1 (AUTHOR) doulei@njust.edu.cn |
| Source: | Remote Sensing. Sep2026, Vol. 18 Issue 18, p3084. 26p. |
| Subjects: | Artificial satellite tracking, Tracking control systems |
| Abstract: | Highlights: What are the main findings? A layered weak-observation framework combines motion-aligned temporal-prior modeling with reliability-guided trajectory association and state updating. The proposed method achieves a multiple object tracking accuracy (MOTA) of 72.5% and an identity F1 score (IDF1) of 81.1% on VISO and obtains the best MOTA and IDF1 for the airplane and vehicle categories of SATMTB-MOT. What are the implications of the main findings? Motion-aligned temporal evidence can recover weak target observations without indiscriminately propagating background responses. Candidate-reliability control provides a practical balance between weak-target recovery and identity preservation in satellite-video tracking. Multi-object tracking (MOT) in satellite video is fundamentally limited by low target observability: genuine targets often produce weak and unstable responses, while structured backgrounds can generate persistent target-like interference, leading to missed detections, fragmented trajectories, and identity switches. To address this ambiguity, we propose a weak-observation-aware and reliability-guided framework with a layered two-stage design: the front end enhances weak observations over short temporal windows, whereas the back end controls their use for long-term trajectory association and state updating according to their reliability. The front-end Temporal Prior Module (TPM) constructs a structure-aware temporal prior from motion-aligned historical evidence, strengthening weak-target responses while limiting the propagation of structured-background interference. The back-end Satellite Weak-Observation Reliability-Guided Tracker (SWRT) introduces active-track support into short-window reasoning and combines current, short-term, and long-term evidence into a candidate-reliability score that regulates association eligibility and state-update strength. On VISO, the proposed method achieves a multiple object tracking accuracy (MOTA) of 72.5% and an identity F1 score (IDF1) of 81.1%. On SATMTB-MOT, it achieves the best MOTA and IDF1 for airplanes and vehicles and remains competitive for ships among the compared methods. These results demonstrate that this layered design achieves a better balance between target recovery and identity preservation under low-observability conditions. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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