太阳成8722(中国)有限公司-GREEN NO.1

标题：A piece-wise approach to removing the nonlinear and irregular stripes in MODIS data作者：Shen, Huanfeng; Jiang, Wan; Zhang, Hongyan; Zhang, Liangpei

来源出版物：INTERNATIONAL JOURNAL OF REMOTE SENSING 卷：35 期：1 页：44-53 DOI：10.1080/2150704X.2013.860564出版年：JAN 2 2014

摘要：As a result of imaging acquisition conditions, Moderate Resolution Imaging Spectroradiometer (MODIS) imagery suffers from nonlinear and irregular striping. The nonlinear stripes are those whose degradation parameters change with the ground objects, and the irregular stripes are those in which only some of the pixels are contaminated. These kinds of stripes result in great difficulties for conventional statistical destriping methods. To deal with these problems effectively, we propose a piece-wise destriping method. This approach divides the recognized defective rows into different portions by the local statistical and mean curve information. The destriping is then performed in each portion, based on the different correction coefficients, with a neighbouring normal row as a reference. Experimental results demonstrate that the proposed algorithm can effectively destripe MODIS data.

入藏号：WOS:000328812200005

文献类型：Article

语种：English

扩展关键词：LANDSAT MSS IMAGES; NOISE; MODEL

通讯作者地址：

电子邮件地址：shenhf@whu.edu.cn

地址：

[Shen, Huanfeng; Jiang, Wan] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

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

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

ISSN：0143-1161