Paper
10 February 2017 Target location method based on homography and scene matching for micro-satellite images
Shengyi Chen, Xiaochun Liu, Hongliang Zhang, Guanwei Yan
Author Affiliations +
Proceedings Volume 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016); 102502U (2017) https://doi.org/10.1117/12.2266759
Event: Fourth International Conference on Optical and Photonics Engineering, 2016, Chengdu, China
Abstract
Micro satellites have been widely used in the target monitoring and tracking. Aimed to reduce the ground operator's workload, a target location method based on homography and scene matching is proposed in this paper. For the first time satellite flies over target area, it needs the operator to take a frame as a reference image and extract the target area which is regarded as plane scene. When the satellite scan the area again, we take a frame as a real-time image and calculate the homography induced by the plane. Then rectify the reference image with the homography to reduce distortion between the two images. Finally, locate target on the real-time image using matching method. A significant-feature-point auxiliary positioning method is also proposed to adapt to target area without obvious features. It adopts affine model to calculated target location on the real-time image. Simulation experimental results show accuracy and practical value for engineering of the proposal method.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shengyi Chen, Xiaochun Liu, Hongliang Zhang, and Guanwei Yan "Target location method based on homography and scene matching for micro-satellite images", Proc. SPIE 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016), 102502U (10 February 2017); https://doi.org/10.1117/12.2266759
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KEYWORDS
Affine motion model

Satellite imaging

Satellites

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