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

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.

入藏号：WOS:000365056500009

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：Shen, Huanfeng; Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Hubei Province, Peoples R China.

电子邮件地址：shenhf@whu.edu.cn

地址：

[Li, Xinghua;Shen, Huanfeng] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Hubei Province, Peoples R China.

[Hui, Nian] Wuhan Kotei Informat Co Ltd, Dept Nav Data, Wuhan, Hubei Province, Peoples R China.

[Shen, Huanfeng; Zhang, Liangpei]Wuhan Univ, Collaborat Innovat Ctr Geospatial Informat Techno, Wuhan 430072, Hubei Province, Peoples R China.

[Fu, Yunjie] NASM, Chongqing Inst Surveying & Mapping, Chongqing, Peoples R China.

[Zhang, Liangpei] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, Hubei Province, Peoples R China.

研究方向：Physical Geography; Geology; Remote Sensing; Imaging Science & Photographic Technology

ISSN：0924-2716

eISSN:1872-8235

影响因子（2014）：3.132