IMHE OpenIR  > 数字山地与遥感应用中心
Cloud and Snow Discrimination for CCD Images of HJ-1A/B Constellation Based on Spectral Signature and Spatio-Temporal Context
Bian, Jinhu1,2; Li, Ainong1; Liu, Qiannan1,2; Huang, Chengquan3
Corresponding AuthorLi, Ainong
2016
Source PublicationREMOTE SENSING
EISSN2072-4292
Volume8Issue:1Pages:doi:10.3390/rs8010031
SubtypeArticle
AbstractIt is highly desirable to accurately detect the clouds in satellite images before any kind of applications. However, clouds and snow discrimination in remote sensing images is a challenging task because of their similar spectral signature. The shortwave infrared (SWIR, e.g., Landsat TM 1.55-1.75 mu m band) band is widely used for the separation of cloud and snow. However, for some sensors such as the CBERS-2 (China-Brazil Earth Resources Satellite), CBERS-4 and HJ-1A/B (HuanJing (HJ), which means environment in Chinese) that are designed without SWIR band, such methods are no longer practical. In this paper, a new practical method was proposed to discriminate clouds from snow through combining the spectral reflectance with the spatio-temporal contextual information. Taking the Mt. Gongga region, where there is frequent clouds and snow cover, in China as a case area, the detailed methodology was introduced on how to use the 181 scenes of HJ-1A/B CCD images in the year 2011 to discriminate clouds and snow in these images. Visual inspection revealed that clouds and snow pixels can be accurately separated by the proposed method. The pixel-level quantitative accuracy validation was conducted by comparing the detection results with the reference cloud masks generated by a random-tile validation scheme. The pixel-level validation results showed that the coefficient of determination (R-2) between the reference cloud masks and the detection results was 0.95, and the average overall accuracy, precision and recall for clouds were 91.32%, 85.33% and 81.82%, respectively. The experimental results confirmed that the proposed method was effective at providing reasonable cloud mask for the SWIR-lacking HJ-1A/B CCD images. Since HJ-1A/B have been in orbit for over seven years and these satellites still run well, the proposed method is helpful for the cloud mask generation of the historical archive HJ-1A/B images and even similar sensors.
KeywordCloud Snow Hj-1a b Regional Covariance Matrix Spectral Spatio-temporal Texture Context
WOS HeadingsScience & Technology ; Technology
DOI10.3390/rs8010031
WOS Subject ExtendedRemote Sensing
Indexed BySCI
WOS KeywordSPATIAL-RESOLUTION ; TIME-SERIES ; LANDSAT IMAGERY ; MULTISPECTRAL IMAGES ; SATELLITE IMAGERY ; NORTH-AMERICA ; CLASSIFICATION ; SHADOW ; ALGORITHM ; MODIS
Language英语
Quartile2区
TOP
WOS SubjectRemote Sensing
WOS IDWOS:000369494500008
Funding OrganizationNational Natural Science Foundation project of China(41271433 ; International Cooperation Key Project of CAS(GJHZ201320) ; International Cooperation Partner Program of Innovative Team, CAS(KZZD-EW-TZ-06) ; "Hundred Talents" Project of Chinese Academy of Sciences (CAS) ; Hundred Young Talents Program of the Institute of Mountain Hazards and Environment ; 41571373)
Citation statistics
Cited Times:14[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/15107
Collection数字山地与遥感应用中心
Affiliation1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Univ Maryland, Dept Geog, College Pk, MD 20742 USA
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Bian, Jinhu,Li, Ainong,Liu, Qiannan,et al. Cloud and Snow Discrimination for CCD Images of HJ-1A/B Constellation Based on Spectral Signature and Spatio-Temporal Context[J]. REMOTE SENSING,2016,8(1):doi:10.3390/rs8010031.
APA Bian, Jinhu,Li, Ainong,Liu, Qiannan,&Huang, Chengquan.(2016).Cloud and Snow Discrimination for CCD Images of HJ-1A/B Constellation Based on Spectral Signature and Spatio-Temporal Context.REMOTE SENSING,8(1),doi:10.3390/rs8010031.
MLA Bian, Jinhu,et al."Cloud and Snow Discrimination for CCD Images of HJ-1A/B Constellation Based on Spectral Signature and Spatio-Temporal Context".REMOTE SENSING 8.1(2016):doi:10.3390/rs8010031.
Files in This Item:
File Name/Size DocType Version Access License
Cloud and Snow Discr(13244KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Bian, Jinhu]'s Articles
[Li, Ainong]'s Articles
[Liu, Qiannan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Bian, Jinhu]'s Articles
[Li, Ainong]'s Articles
[Liu, Qiannan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Bian, Jinhu]'s Articles
[Li, Ainong]'s Articles
[Liu, Qiannan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Cloud and Snow Discrimination for CCD Images of HJ-1A B Constellation Based on Spectral Signature.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.