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  • 标题:Lake Surface Area Estimation Method based on Error Mechanism Model for Satellite Imagery and Its Application in Ebinur Lake
  • 本地全文:下载
  • 作者:Rong Xu ; Chunzhe Zhao ; Jiang Xiong
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2015
  • 卷号:8
  • 期号:1
  • 页码:33-48
  • DOI:10.14257/ijsip.2015.8.1.04
  • 出版社:SERSC
  • 摘要:A novel mechanism model is proposed for the difference between the lake water areas derived from the remote sensing images at high spatial resolution and low spatial resolution. The areas estimated by images at different spatial resolution are calculated theoretically for the elliptical (including circular), triangular and hexagonal areal ground features. Based on the ideal cases, the quantitative rule between the two kinds of area is summarized. According to the theoretical results, the mechanism model is established for the error of the lake surface area. Especially, the surface area of Ebinur Lake derived with SPOT/VEGETATION (VGT), Landsat EM/ETM+ and MODIS are employed to validate the effectiveness and applicability of this model. With the help of the linear regression method, this model can be used to estimate the error between the Ebinur Lake surface areas derived from satellite images at different spatial resolutions, and promote the lake surface area from low spatial resolution imagery. Consequently, this model is helpful for estimating the lake surface area more accurately in a large region, and its effectiveness can be improved with more historical data.
  • 关键词:Error Model; Spatial Resolution; Ebinur Lake; Area Calibration; Remote ; Sensing
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