TY - GEN
T1 - A Stereo Matching Method for Plane and Ship Targets in Satellite Stereo Images Based on Component Constraint
AU - Chen, Wen
AU - Chen, Hao
AU - Zhao, Jing
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - component constraint
KW - generalized Hough transform
KW - satellite stereo images
KW - stereo matching
UR - https://www.scopus.com/pages/publications/85204915514
U2 - 10.1109/IGARSS53475.2024.10641141
DO - 10.1109/IGARSS53475.2024.10641141
M3 - 会议稿件
AN - SCOPUS:85204915514
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 10180
EP - 10183
BT - IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024
Y2 - 7 July 2024 through 12 July 2024
ER -