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Effectivity of super resolution convolutional neural network for the enhancement of land cover classification from medium resolution satellite images
[article]
2022
arXiv
pre-print
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
arXiv:2207.02301v1
fatcat:5iqspduklfgwzmkyyehbbynrka