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Effectivity of super resolution convolutional neural network for the enhancement of land cover classification from medium resolution satellite images. (arXiv:2207.02301v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
In the modern world, satellite images play a key role in forest management
and degradation monitoring. For a precise quantification of forest land cover
changes, the availability of spatially fine resolution data is a necessity.
Since 1972, NASAs LANDSAT Satellites are providing terrestrial images covering
every corner of the earth, which have been proved to be a highly useful
resource for terrestrial change analysis and have been used in numerous other
sectors. However, freely accessible satellite images are, generally, of …
arxiv classification convolutional neural network cv images medium network neural network satellite satellite images super resolution