A Modified Neighborhood Similar Pixel Interpolator Approach for Removing Thick Clouds in Landsat Images

被引：157

作者：

Zhu, Xiaolin ^{[1
,2
]}

Gao, Feng ^{[4
]}

Liu, Desheng ^{[2
,3
]}

Chen, Jin ^{[1
]}

机构：

[1] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China

[2] Ohio State Univ, Dept Geog, Columbus, OH 43210 USA

[3] Ohio State Univ, Dept Stat, Columbus, OH 43210 USA

[4] ARS, Hydrol & Remote Sensing Lab, USDA, Beltsville, MD 20705 USA

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2012年 / 9卷 / 03期

基金：

美国国家科学基金会;

关键词：

Cloud removal; image processing; image restoration; Landsat;

D O I：

10.1109/LGRS.2011.2173290

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Thick-cloud contamination is a common problem in Landsat images, which limits their utilities in various land surface studies. This letter presents a new method for removing thick clouds based on a modified neighborhood similar pixel interpolator (NSPI) approach that was originally developed for filling gaps due to the Landsat ETM+ Scan Line Corrector (SLC)-off problem. The performance of the proposed method was evaluated with both simulated and real cloudy images and compared with that of a contextual multiple linear prediction (CMLP) method. The results show that the modified NSPI approach can greatly reduce the edge effects by CMLP. The reflectance restored by the modified NSPI approach is more accurate than that by CMLP, especially when the cloud-free auxiliary and cloudy images are acquired from different seasons and have different spectral characteristics.

引用

页码：521 / 525

页数：5

共 14 条

[1] Contextual spatiospectral postreconstruction of cloud-contaminated images [J].

Benabdelkader, Soliad ;

Melgani, Farid .

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2008, 5 (02) :204-208

[2] A simple and effective method for filling gaps in Landsat ETM plus SLC-off images [J].

Chen, Jin ;

Zhu, Xiaolin ;

Vogelmann, James E. ;

Gao, Feng ;

Jin, Suming .

REMOTE SENSING OF ENVIRONMENT, 2011, 115 (04) :1053-1064

[3] Cloud detection in Landsat imagery of ice sheets using shadow matching technique and automatic normalized difference snow index threshold value decision [J].

Choi, H ;

Bindschadler, R .

REMOTE SENSING OF ENVIRONMENT, 2004, 91 (02) :237-242

[4] Building a consistent medium resolution satellite data set using moderate resolution imaging spectroradiometer products as reference [J].

Gao, Feng ;

Masek, Jeffrey G. ;

Wolfe, Robert E. ;

Huang, Chengquan .

JOURNAL OF APPLIED REMOTE SENSING, 2010, 4

[5] Automated registration and orthorectification package for Landsat and Landsat-like data processing [J].

Gao, Feng ;

Masek, Jeffrey G. ;

Wolfe, Robert E. .

JOURNAL OF APPLIED REMOTE SENSING, 2009, 3

[6] Cloud-free satellite image mosaics with regression trees and histogram matching [J].

Helmer, EH ;

Ruefenacht, B .

PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2005, 71 (09) :1079-1089

[7] The availability of cloud-free Landsat ETM plus data over the conterminous United States and globally [J].

Ju, Junchang ;

Roy, David P. .

REMOTE SENSING OF ENVIRONMENT, 2008, 112 (03) :1196-1211

[8] A Landsat surface reflectance dataset for North America, 1990-2000 [J].

Masek, JG ;

Vermote, EF ;

Saleous, NE ;

Wolfe, R ;

Hall, FG ;

Huemmrich, KF ;

Gao, F ;

Kutler, J ;

Lim, TK .

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2006, 3 (01) :68-72

[9] Contextual reconstruction of cloud-contaminated multitemporal multispectral images [J].

Melgani, F .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2006, 44 (02) :442-455

[10] Closest Spectral Fit for Removing Clouds and Cloud Shadows [J].

Meng, Qingmin ;

Borders, Bruce E. ;

Cieszewski, Chris J. ;

Madden, Marguerite .

PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2009, 75 (05) :569-576

← 1 2 →