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Article overview
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Comparison of various image fusion methods for impervious surface classification from VNREDSat-1 | | Hung V. Luu
; Manh V. Pham
; Chuc D. Man
; Hung Q. Bui
; Thanh T.N. Nguyen
; | | Date: |
6 Mar 2018 | | Abstract: | Impervious surface is an important indicator for urban development
monitoring. Accurate urban impervious surfaces mapping with VNREDSat-1 remains
challenging due to their spectral diversity not captured by individual PAN
image. In this artical, five multi-resolution image fusion techniques were
compared for classification task of urban impervious surface. The result shows
that for VNREDSat-1 dataset, UNB and Wavelet tranform methods are the best
techniques reserving spatial and spectral information of original MS image,
respectively. However, the UNB technique gives best results when it comes to
impervious surface classification especially in the case of shadow area
included in non-impervious surface group. | | Source: | arXiv, 1803.2326 | | Services: | Forum | Review | PDF | Favorites | |
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