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Multi-temporal cloud and snow detection algorithm for the HJ-1A/B CCD imagery of China
Alternative Title
Bian JH(边金虎); Li AN(李爱农); Jin HA(靳华安); Zhao W(赵伟); Lei GB(雷光斌); Huang CQ(黄成全)
Corresponding AuthorLi AN(李爱农)
Source PublicationIGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium ; 2014 IEEE Geoscience and Remote Sensing Symposium. (IGARSS). Proceedings
Conference Date13-18 July 2014
Conference Place魁北克,加拿大
Funding Organization加拿大遥感学会

How to accurately detect cloud and snow in the remote sensing imagery is an open problem for the remote sensing application. For only visible and near infrared band in HJ-1A/B CCD images, the cloud detection algorithm using the shortwave infrared and thermal infrared band is restricted by the band-lacking problem. Based on the multi-temporal information of the HJ-1A/B CCD images, a new algorithm is proposed in this paper. Using available images in one month, a cloud-free reference image was firstly composed. Then, the cloud and snow pixel are separated through the difference of the blue band between the reference and each date. Subsequently, the regional covariance matrix is computed further to eliminate the non-cloud pixels. The test result shows that, the overall accuracy is about 85.96% to 93%. It indicates that the proposed method can integrate the temporal and texture information to improve detection accuracy for the cloud and snow.

KeywordMulti-temporal Cloud/snow Detection Hj-1a/b Ccd Regional Covariance Matrix
Subject Area自然地理学
Accession numberAccession number:20144800242158
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Recommended Citation
GB/T 7714
Bian JH,Li AN,Jin HA,et al. Multi-temporal cloud and snow detection algorithm for the HJ-1A/B CCD imagery of China[C],2014:501-504.
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