Space Object Detection using Multi-frame Temporal Trajectory Completion Method

• URL: http://arxiv.org/abs/2510.19220v2
• Date: Sat, 01 Nov 2025 03:59:06 GMT
• Title: Space Object Detection using Multi-frame Temporal Trajectory Completion Method
• Abstract summary: Space objects in Geostationary Earth Orbit (GEO) present significant detection challenges in optical imaging.<n>We enhance high-frequency features of GEO targets while suppressing background noise at the single-frame level through wavelet transform.<n>To effectively mitigate missing and false detections, a series of key steps including temporal matching and completion, temporal-consistency-based noise filtering, and progressive trajectory refinement are designed.
• Score: 9.408807475654068
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Space objects in Geostationary Earth Orbit (GEO) present significant detection challenges in optical imaging due to weak signals, complex stellar backgrounds, and environmental interference. In this paper, we enhance high-frequency features of GEO targets while suppressing background noise at the single-frame level through wavelet transform. Building on this, we propose a multi-frame temporal trajectory completion scheme centered on the Hungarian algorithm for globally optimal cross-frame matching. To effectively mitigate missing and false detections, a series of key steps including temporal matching and interpolation completion, temporal-consistency-based noise filtering, and progressive trajectory refinement are designed in the post-processing pipeline. Experimental results on the public SpotGEO dataset demonstrate the effectiveness of the proposed method, achieving an F_1 score of 90.14%.

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