Object-Based Dense Matching Method for Maintaining Structure Characteristics of Linear Buildings

Sensors

Chunhui Zhao¹  Yiming Yan¹  Nan Su¹  Liguo Wang¹  Mingjie Qiu² 

[1] College of information and communication engineering, Harbin Engineering University, Harbin 150001, China;School of electronics and information engineering, Harbin Institute of Technology, Harbin 150001, China;

关键词: dense matching;    building objects in urban areas;    high-precision disparity;    building object structural characteristics;   

DOI  :  10.3390/s18041035

来源: DOAJ

【 摘 要 】

In this paper, we proposed a novel object-based dense matching method specially for the high-precision disparity map of building objects in urban areas, which can maintain accurate object structure characteristics. The proposed framework mainly includes three stages. Firstly, an improved edge line extraction method is proposed for the edge segments to fit closely to building outlines. Secondly, a fusion method is proposed for the outlines under the constraint of straight lines, which can maintain the building structural attribute with parallel or vertical edges, which is very useful for the dense matching method. Finally, we proposed an edge constraint and outline compensation (ECAOC) dense matching method to maintain building object structural characteristics in the disparity map. In the proposed method, the improved edge lines are used to optimize matching search scope and matching template window, and the high-precision building outlines are used to compensate the shape feature of building objects. Our method can greatly increase the matching accuracy of building objects in urban areas, especially at building edges. For the outline extraction experiments, our fusion method verifies the superiority and robustness on panchromatic images of different satellites and different resolutions. For the dense matching experiments, our ECOAC method shows great advantages for matching accuracy of building objects in urban areas compared with three other methods.

【 授权许可】

Unknown