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

Nan Su,Yiming Yan,Mingjie Qiu,Liguo Wang,Chunhui Zhao

doi:10.3390/s18041035

Abstract

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.

Highlights

With the development of satellite sensors, high-precision 3D reconstruction based on satellite stereoscopic image pairs is one of the most important topics in the remote-sensing field, especially in urban areas
For building objects in urban areas, the elevation information is mutated from the building height to zero, and the terrain is discontinuous, which lead to obvious matching errors at the elevation discontinuity of building edges
For building objects in urban area, the elevation information is mutated from the building height to zero, and the terrain is discontinuous, which leads to many apparent matching errors at the elevation discontinuity

Summary

Introduction

With the development of satellite sensors, high-precision 3D reconstruction based on satellite stereoscopic image pairs is one of the most important topics in the remote-sensing field, especially in urban areas. For building objects reconstruction in urban areas, the elevation information is mutated from the building height to zero, and the terrain is discontinuous. The edge regions of building objects are the nonoverlapping regions, because of satellite stereoscopic image pairs from different angles. They will bring great challenges to area-based dense matching methods leading to obvious matching errors at the elevation discontinuity of building edges. It will be an obstacle to obtain high-precision 3D reconstruction results of building objects in urban areas. The increasing spatial resolution of satellite imaging, ranging from 0.5 m to 2 m in the panchromatic band, has allowed clear edge information

Methods

Results

Conclusion