A Stereo Matching Method for Plane and Ship Targets in Satellite Stereo Images Based on Component Constraint

Wen Chen, Hao Chen, Jing Zhao

Abstract: Plane and ship targets in satellite stereo images has poor stereo matching effect due to complex structure and scarcity of samples. To solve this problem, inspired by the similar representation of the same target in optical images and disparity maps, combined with prior knowledge of different components of plane and ship targets, this paper proposes a stereo matching method for plane and ship targets based on component constraint. Firstly, a generalized Hough transform segmentation method with hit ratio and uniformity ratio constraints is constructed to extract component blocks. Then, the matching cost is matched using the component block constraint. Finally, the disparity is determined by iteratively optimizing the matching cost. The experimental results show that the proposed stereo matching method NMAD is 1.4m, and RMSE is better than 5m. More advanced performance than other methods.