中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Effect of Synchronous Atmospheric Correction on the Accuracy of High-Resolution Remote Sensing Indices Images

文献类型:期刊论文

作者Xu, Lingling1,3; Xiong, Wei1; Yi, Weining1,2; Cui, Wenyu1,2; Liu, Xiao1,2; Wang, Yuyao1,3
刊名IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
出版日期2024
卷号17
关键词Remote sensing Accuracy Indexes Normalized difference vegetation index Atmospheric modeling Atmospheric measurements Vegetation mapping Gao Fen Duo Mo (GFDM) high-spatial resolution remote sensing indices image synchronous atmospheric correction
ISSN号1939-1404
DOI10.1109/JSTARS.2024.3444493
通讯作者Xiong, Wei(frank@aiofm.ac.cn) ; Cui, Wenyu(cuiwenyu@aiofm.ac.cn)
英文摘要Accurate inversion of remote sensing indices images with high-resolution is an important basis for extracting the surface information on fine scale and the remote sensing application with high precision. Under the background that the effect of atmospheric correction on the inversion accuracy of medium-resolution remote sensing indices has been widely concerned, the atmospheric correction method based on the synchronous atmospheric parameters retrieved from the synchronization monitoring atmospheric corrector, which is on board the high-resolution multimode integrated imaging satellite (Gao Fen Duo Mo,) platform, is proposed. The "spaceborne-airborne" synchronous imaging experiment was conducted to investigate the effect of synchronous atmospheric correction on the accuracy of high-resolution remote sensing indices images. The low-altitude synchronous remote sensing indices images were taken as the reference standard, the correlation between the normalized difference vegetation index (NDVI) and normalized difference water index (NDWI) images after synchronous atmospheric correction and the reference images are improved by 4.27% and 12.22%, respectively. The mean errors in average NDVI and NDWI value of sampling plot decreased by 0.2489 and 0.1032, respectively. The average errors in the peak value of change rate of pixel index value are reduced by 0.1194 and 0.2288 in the case of NDVI and NDWI, respectively. Compared with the results of FLAASH, the synchronous atmospheric correction method shows better performance, especially in the targets with low reflectance (the atmospheric radiation contribution is higher than the surface radiation contribution), and in the adjacent area between two different ground objects. The results demonstrate that synchronous atmospheric correction can effectively improve the inversion accuracy of high-resolution remote sensing indices images and its ability of quantitative application.
WOS关键词RADIOMETRIC CALIBRATION ; WATER-VAPOR ; LAND ; RETRIEVAL ; NDVI ; ALGORITHM
资助项目National Key Research and Development Program[2022YFF0711703]
WOS研究方向Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001308275000029
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Key Research and Development Program
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/135299]  
专题中国科学院合肥物质科学研究院
通讯作者Xiong, Wei; Cui, Wenyu
作者单位1.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
2.Chinese Acad Sci, Key Lab Opt Calibrat & Characterizat, Hefei 230031, Peoples R China
3.Univ Sci & Technol China, Hefei 230026, Peoples R China
推荐引用方式
GB/T 7714
Xu, Lingling,Xiong, Wei,Yi, Weining,et al. Effect of Synchronous Atmospheric Correction on the Accuracy of High-Resolution Remote Sensing Indices Images[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2024,17.
APA Xu, Lingling,Xiong, Wei,Yi, Weining,Cui, Wenyu,Liu, Xiao,&Wang, Yuyao.(2024).Effect of Synchronous Atmospheric Correction on the Accuracy of High-Resolution Remote Sensing Indices Images.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,17.
MLA Xu, Lingling,et al."Effect of Synchronous Atmospheric Correction on the Accuracy of High-Resolution Remote Sensing Indices Images".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 17(2024).

入库方式: OAI收割

来源:合肥物质科学研究院

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