太阳成8722(中国)有限公司-GREEN NO.1

标题：Blind Restoration of Remote Sensing Images by a Combination of Automatic Knife-Edge Detection and Alternating Minimization作者：Shen, Huanfeng; Zhao, Wennan; Yuan, Qiangqiang; Zhang, Liangpei

来源出版物：REMOTE SENSING 卷：6 期：8 页：7491-7521 DOI：10.3390/rs6087491 出版年：AUG 2014

摘要：In this paper, a blind restoration method is presented to remove the blur in remote sensing images. An alternating minimization (AM) framework is employed to simultaneously recover the image and the point spread function (PSF), and an adaptive-norm prior is used to apply different constraints to smooth regions and edges. Moreover, with the use of the knife-edge features in remote sensing images, an automatic knife-edge detection method is used to obtain a good initial PSF for the AM framework. In addition, a no-reference (NR) sharpness index is used to stop the iterations of the AM framework automatically at the best visual quality. Results in both simulated and real data experiments indicate that the proposed AM-KEdge method, which combines the automatic knife-edge detection and the AM framework, is robust, converges quickly, and can stop automatically to obtain satisfactory results.

入藏号：WOS:000341518700033

文献类型：Article

语种：English

作者关键词：blind restoration, knife edge, initial PSF, alternating minimization, automatic stopping criterion

扩展关键词：BLUR IDENTIFICATION; BREGMAN ITERATION; DECONVOLUTION; REGULARIZATION; SUPERRESOLUTION; ALGORITHMS; FILTER; PHASE

通讯作者地址：Shen, Huanfeng;Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Peoples R China.

电子邮件地址：shenhf@whu.edu.cn; wennan620@gmail.com; yqiang86@gmail.com; zlp62@whu.edu.cn

地址：

[Shen, Huanfeng; Zhao, Wennan] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Yuan, Qiangqiang] Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Peoples R China.

[Zhang, Liangpei] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.

研究方向：Remote Sensing

ISSN：2072-4292