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A new approach for vegetation change detection in urban areas
Authors:Yu Hui  Jia Yonghong
Affiliation:YU Hui JIA Yonghong
Abstract:Because of complex change in urban areas, modified CVA application based on mask techniques can minify the effect of non-vegetation changes and improve upon efficiency to a great extent. Moreover, drawing from methods in polar plots, the technique measures changes with absolute angular and total magnitude of PVI calculated on the basis of linear fit with least-square estimation and GVI calculated using 3D G-S transformation. Finally, this application is performed with Landsat ETM imageries of Wuhan in 2002 and 2005, and assessed by error matrix, in the way it could detect change pixels 94.91% correct, and the total consistent coefficient Kappa could reach to 0.85. The evaluation result demonstrates this new application trends as an efficient and effective alternative to urban vegetation change extraction.
Keywords:vegetation  change detection  change vector  mask
本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录!
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