Satellite component tracking and segmentation based on position information encoding

Hao Zhang; Jingmin Gao

doi:10.1117/12.2626550

20 December 2021 Satellite component tracking and segmentation based on position information encoding

Hao Zhang, Jingmin Gao

Proceedings Volume 12155, International Conference on Computer Vision, Application, and Design (CVAD 2021); 1215513 (2021) https://doi.org/10.1117/12.2626550
Event: International Conference on Computer Vision, Application, and Design (CVAD 2021), 2021, Sanya, China

Abstract

Acquisition of target information in satellite interactive missions plays a key role in aerospace field. Tracking and Segmentation of Satellite Components are faced with some problems, such as insufficient illumination in space environment and occlusion of satellite components. This paper presents an effective approach to achieve video object segmentation under low light and occlusion of satellite components. Our approach is based on Rethinking Space-Time Networks with Improved Memory Coverage(STCN), and it can track and segment satellite components in video sequences. To solve the problems of target loss and low light in the space environment during the overturning of satellite components, we propose a position information encoding strategy. We improve the generalization ability of the model for image position information by embedding the position information matrix. Finally, we trained the model using the DAVIS dataset and the satellite dataset we built. Experiment results verify that our model improves 3.9% of J&F compared to STCN and its speed can reach 20+ frames per second(FPS).

Citation Download Citation

Hao Zhang and Jingmin Gao "Satellite component tracking and segmentation based on position information encoding", Proc. SPIE 12155, International Conference on Computer Vision, Application, and Design (CVAD 2021), 1215513 (20 December 2021); https://doi.org/10.1117/12.2626550

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KEYWORDS

Satellites

Computer programming

Video

Image segmentation

Data modeling

Network architectures

Satellite imaging

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