IMHE OpenIR  > Journal of Mountain Science  > Journal of Mountain Science-2013  > Vol10 No.5
Auto-registration and orthorecification algorithm for the time series HJ-1A/B CCD images
Bian Jin-hu1,2; Li Ai-nong1; Jin Hua-an1; Lei Guang-bin1,2; Huang Cheng-quan3; Li Meng-xue3
Corresponding AuthorLI Ai-nong
AbstractHow to deal with geometric distortion is an open problem when using the massive amount of satellite images at a national or global scale, especially for multi-temporal image analysis. In this paper, an algorithm is proposed to automatically rectify the geometric distortion of time-series CCD multispectral data of small constellation for environmental and disaster mitigation (HJ-1A/B) which was launched by China in 2008. In this algorithm, the area-based matching method was used to automatically search tie points firstly, and then the polynomial function was introduced to correct the systematic errors caused by the satellite motion along the roll, pitch and yaw direction. The improved orthorectification method was finally used to correct pixel displacement caused by off-nadir viewing of topography, which are random errors in the images and cannot be corrected by the polynomial equation. Nine scenes of level 2 HJ CCD images from one path/row were taken as the warp images to test the algorithm. The test result showed that the overall accuracy of the proposed algorithm was within 2 pixels (the average residuals were 37.8 m, and standard deviations were 19.8 m). The accuracies of 45.96% validation points (VPs) were within 1 pixel and 90.33% VPs were within 2 pixels. The discussion showed that three main factors including the distortion patterns of HJ CCD images, percent of cloud cover and the varying altitude of the satellite orbit may affect the search of tie points and the accuracy of results. Although the influence of varying altitude of the satellite orbits is less than the other factors, it is noted that detailed satellite altitude information should be given in the future to get a more precise result. The proposed algorithm should be an efficient tool for the geo-correction of HJ CCD multi-spectral images.
KeywordHj Time Series Images Auto-geocorrection Topographic Correction Wide Coverage Ccd Cameras
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS Subject ExtendedEnvironmental Sciences & Ecology
Indexed BySCI
WOS SubjectEnvironmental Sciences
WOS IDWOS:000325070700006
Funding OrganizationChinese Academy of Sciences (CAS) ; Hundred Talent Program of Sichuan Province ; International Cooperation Partner Program of Innovative Team, CAS(KZZD-EW-TZ-06) ; Knowledge Innovation Program of the Chinese Academy of Sciences(KZCX2-YW-QN313) ; Strategic Priority Research Program-Climate Change: Carbon Budget and Related Issues(XDA05050105)
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Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
CollectionJournal of Mountain Science_Journal of Mountain Science-2013_Vol10 No.5
Affiliation1.Chinese Acad Sci, Inst Mt Hazards & Environm, Digital Mt & Remote Sensing Applicat Ctr, 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 Jin-hu,Li Ai-nong,Jin Hua-an,et al. Auto-registration and orthorecification algorithm for the time series HJ-1A/B CCD images[J]. JOURNAL OF MOUNTAIN SCIENCE,2013,10(5):754-767.
APA Bian Jin-hu,Li Ai-nong,Jin Hua-an,Lei Guang-bin,Huang Cheng-quan,&Li Meng-xue.(2013).Auto-registration and orthorecification algorithm for the time series HJ-1A/B CCD images.JOURNAL OF MOUNTAIN SCIENCE,10(5),754-767.
MLA Bian Jin-hu,et al."Auto-registration and orthorecification algorithm for the time series HJ-1A/B CCD images".JOURNAL OF MOUNTAIN SCIENCE 10.5(2013):754-767.
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