Sub-Pixel Mapping Based on MAP Model and Spatial Attraction Theory for Remotely Sensed Image
There are a lot of mixed pixels in the remotely sensed imagery, which can seriously limit the utility of classification. Sub-pixel mapping (SPM) is a promising technique to solve this problem. It can generate a fine resolution land cover map from coarse resolution fractional images by predicting the...
Main Authors: | Ke Wu, Qian Du, Xiangyun Hu, Xianmin Wang |
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Format: | Article |
Language: | English |
Published: |
IEEE
2017-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8093612/ |
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