Multimodal Urban Remote Sensing Image Registration Via Roadcross Triangular Feature

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Xiao Huang¹  Wei Luo¹  Jie Ma²  Kun Yu²  Bin Fang²  Pei An²  Zhao Wang²  Junfeng Ding²  Xiao Zheng³ 

[1] Development and Design Center, China Ship Development, and Design Center, Wuhan, China;National Key Laboratory of Science, and Technology on Multi-spectral Information Processing, School of Artificial Intelligence, and Automation, Huazhong University of Science, and Technology, Wuhan, China;Wuhan Institute of Marine Electric Propulsion, Wuhan, China;

关键词: Image matching;    multimodal image registration;    road intersection triangular feature;    urban remote sensing;   

DOI  :  10.1109/JSTARS.2021.3073573

来源: DOAJ

【 摘 要 】

Automatic image registration of multimodal urban remote sensing images remains a critical challenging task in remote sensing image analysis due to significant nonlinear radiation distortions between multimodal image pairs; most of the traditional methods focus on the feature point detection and its local description and ignore the robust road information in multimodal urban remote sensing images. Motivated by this, we propose a fast and robust registration method for multimodal urban remote sensing images via road intersection triangular features. The proposed method obtains three main stages: Road lines extraction from images, intersection triangular feature construction, and triangular feature matching. The qualitative and quantitative experimental results show that the proposed method significantly outperforms other state-of-the-art methods, even when others completely fail to achieve the registration task of cross-modal images, our method still maintains good robustness and matching efficiency.

【 授权许可】

Unknown