Fully automatic DOM generation method based on optical flow field dense image matching  

作　　者：Wei Yuan Xiuxiao Yuan Yang Cai Ryosuke Shibasaki 

机构地区：[1]School of Remote Sensing and Information Engineering,Wuhan University,Wuhan,China [2]Center for Spatial Information Science,University of Tokyo,Kashiwa,Japan

出　　处：《Geo-Spatial Information Science》2023年第2期242-256,共15页地球空间信息科学学报（英文）

基　　金：supported by the National Natural Science Foundation of China[Grant No.41771479];the National High-Resolution Earth Observation System(the Civil Part)[Grant No.50-H31D01-0508-13/15];the Japan Society for the Promotion of Science[Grant No.22H03573].

摘　　要：Automatic Digital Orthophoto Map(DOM)generation plays an important role in many downstream works such as land use and cover detection,urban planning,and disaster assessment.Existing DOM generation methods can generate promising results but always need ground object filtered DEM generation before otho-rectification;this can consume much time and produce building facade contained results.To address this problem,a pixel-by-pixel digital differential rectification-based automatic DOM generation method is proposed in this paper.Firstly,3D point clouds with texture are generated by dense image matching based on an optical flow field for a stereo pair of images,respectively.Then,the grayscale of the digital differential rectification image is extracted directly from the point clouds element by element according to the nearest neighbor method for matched points.Subsequently,the elevation is repaired grid-by-grid using the multi-layer Locally Refined B-spline(LR-B)interpolation method with triangular mesh constraint for the point clouds void area,and the grayscale is obtained by the indirect scheme of digital differential rectification to generate the pixel-by-pixel digital differentially rectified image of a single image slice.Finally,a seamline network is automatically searched using a disparity map optimization algorithm,and DOM is smartly mosaicked.The qualitative and quantitative experimental results on three datasets were produced and evaluated,which confirmed the feasibility of the proposed method,and the DOM accuracy can reach 1 Ground Sample Distance(GSD)level.The comparison experiment with the state-of-the-art commercial softwares showed that the proposed method generated DOM has a better visual effect on building boundaries and roof completeness with comparable accuracy and computational efficiency.

关 键 词：Digital Orthophoto Map(DOM) dense image matching based on optical flow field(OFFDIM) 3D point clouds with texture seamline network ACCURACY 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]