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博士生李星华的论文在ISPRS Journal of Photogrammetry and Remote Sensing 刊出
发布时间:2015-10-10 09:00:12     发布者:yz     浏览次数:

标题:A robust mosaicking procedure for high spatial resolution remote sensing images作者:Xinghua Li,Nian Hui, Huanfeng Shen , Yunjie Fu, Liangpei Zhang

来源出版物:ISPRS Journal of Photogrammetry and Remote Sensing 卷:109 页:108-125 DOI:10.1016/j.isprsjprs.2015.09.009 出版年:NOV 2015

摘要:With the rapid development of sensor manufacturing technology, high spatial resolution (HR) images are becoming more easily acquired and more widely used. However, it is common that a region of interest (ROI) cannot be completely acquired from a single image. Image mosaicking can resolve the problem by creating a new large-area image from multiple images with overlapping areas. A typical mosaicking procedure for HR remote sensing images includes three successive steps: tonal adjustment, seamline detection, and image blending. In this paper, we propose a robust mosaicking procedure featuring novel ideas in all three steps, which is aimed at processing HR remote sensing images of urban areas. Firstly, the tonal adjustment is realized by a local moment matching (LMM) algorithm, which solves the nonlinear photometric correlation problem between adjacent images. Secondly, an automatic piecewise dynamic program (APDP) algorithm for seamline detection is proposed to detect the optimal seamline on the overlapped area. Last but not least, we propose a cosine distance weighted blending (CDWB) method to ensure that the seamline is as invisible as possible. Compared to the state-of-the-art methods, the proposed method was proved to be effective in experiments with high resolution aerial and satellite images.

文献类型:Article

语种:English

作者关键词:Cosine distance weighted blending; Image mosaicking; High spatial resolution; Local moment matching; Piecewise dynamic program; Remote sensing

通讯作者地址:Huanfeng Shen; School of Resource and Environmental Sciences, Wuhan University, Wuhan, Hubei province, China

电子邮件地址:shenhf@whu.edu.cn

地址:

[Xinghua Li,Huanfeng Shen]School of Resource and Environmental Sciences, Wuhan University, Wuhan, Hubei province, China

[Nian Hui]Department of Navigation Data, Wuhan Kotei Informatics Co., Ltd., Wuhan, Hubei province, China

[Huanfeng Shen,Liangpei Zhang]Collaborative Innovation Center for Geospatial Information Technology, Wuhan University, China

[Yunjie Fu]Chongqing Institute of Surveying and Mapping, NASM, Chongqing, China

[Liangpei Zhang]State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, Hubei province, Chin

ISSN:0924-2716

影响因子(2014):3.132

全文链接:http://www.sciencedirect.com/science/article/pii/S0924271615002191

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