太阳成8722(中国)有限公司-GREEN NO.1

标题：A general variational framework considering cast shadows for the topographic correction of remote sensing imagery作者：Li, Huifang; Xu, Liming; Shen, Huanfeng; Zhang, Liangpei

来源出版物：ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING卷：117 页码：161-171 DOI: 10.1016/j.isprsjprs.2016.03.021 出版年：JUL 2016

摘要：Topographic shadows are inevitable obstacles for the interpretation of remote sensing images covering rugged terrain. A general variational topographic correction (TC) framework is proposed in this paper by considering not only self shadows but also cast shadows. Cast shadows are first detected by integrating the radiometric and topographic features of the observed region. The cosine values of the incidence angles for the cast shadows are then corrected by the variational framework. The corrected incidence angles can be used in any traditional TC model to compensate for the shadows in mountainous regions. The proposed variational framework was utilized in eight different traditional TC models, and the results were compared with the traditional results. Images from two different regions were employed to test the framework. The results suggest that the proposed framework can raise the accuracy of shadow correction by both subjective and objective evaluations, owing to the correction of the cast shadows. (C) 2016 International Society for Photogrammetry and Remote Sensing,

入藏号：WOS:000377312500014

文献类型：Article

语种：English

作者关键词：Topographic correction, Cast shadow, Variational framework

扩展关键词：ANDSAT-TM DATA; RADIOMETRIC CORRECTION; SATELLITE DATA; TERRAIN; MODEL; NORMALIZATION

通讯作者地址：Shen, HF, Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.

电子邮件地址：

地址：

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

[Li, Huifang] Minist Educ, Key Lab Geog Informat Syst, Wuhan, Peoples R China.

[Xu, Liming] Hangzhou Dingchuan Informat Technol Co Ltd, Hangzhou, Zhejiang, Peoples R China.

[Shen, Huanfeng; Zhang, Liangpei] Collaborat Innovat Ctr Geospatial Technol, Wuhan, Peoples R China.

[Zhang, Liangpei] *Wuhan Univ*, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, 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：4.188