Learning-based superresolution land cover mapping
Super-resolution mapping (SRM) is a technique for generating a fine spatial resolution land cover map from coarse spatial resolution fraction images estimated by soft classification. The prior model used to describe the fine spatial resolution land cover pattern is a key issue in SRM. Here, a novel...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers
2016
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/32958/ |