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• W2034265989 abstract "Interpolation-based super-resolution mapping (SRM) is a popular model to produce a super-resolution land-cover map from coarse-resolution fraction images. This model can maintain the holistic land-cover features; however, it also results in a super-resolution land-cover map that includes many speckle and linear artefacts, due to errors caused by both the interpolation and the label assignment steps. In this article, we propose a novel two-step post-processing algorithm for interpolation-based SRM. The first step is morphological filtering, which is used to eliminate artefacts and to preserve land-cover features in the super-resolution land-cover map produced by interpolation-based SRM. The second step is fraction refilling, which is applied to make the fraction constraints satisfied and the super-resolution land-cover map locally smooth. Based on the application to three simulated images with various interpolation algorithms and morphological filter operations, the performance of the proposed post-processing algorithm was assessed. The results show that the proposed post-processing algorithm increases the accuracy of the super-resolution land-cover map and is suitable for different interpolation-based SRM models." @default.
• W2034265989 created "2016-06-24" @default.
• W2034265989 creator A5012444471 @default.
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• W2034265989 date "2014-07-03" @default.
• W2034265989 modified "2023-09-22" @default.
• W2034265989 title "Post-processing of interpolation-based super-resolution mapping with morphological filtering and fraction refilling" @default.
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• W2034265989 doi "https://doi.org/10.1080/2150704x.2014.938179" @default.
• W2034265989 hasPublicationYear "2014" @default.
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