Sentinel-2 data represent a rich source of information for the community due to the free access and to the temporal-spatial coverage assured. However, some of the spectral bands are sensed at reduced resolution due to a compromise between technological limitations and Copernicus program's objectives. For this reason in this work we present a new superresolution method based on Convolutional Neural Networks (CNNs) to rise the resolution of the short wave infra-red (SWIR) band from 20 to 10 meters, that is the highest resolution provided. This is accomplished by fusing the target band with the finer-resolution ones. The proposed solution compares favourably against several alternative methods according to different quality indexes. In addition we have also tested the use of the super-resolved band from an applicative perspective by detecting water basins through the Modified Normalized Difference Water Index (MNDWI).
A CNN-based fusion method for super-resolution of Sentinel-2 data / Gargiulo, M.; Mazza, A.; Gaetano, R.; Ruello, G.; Scarpa, G.. - (2018), pp. 4713-4716. (Intervento presentato al convegno 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 tenutosi a Valencia (Spain) nel 2018) [10.1109/IGARSS.2018.8518447].
A CNN-based fusion method for super-resolution of Sentinel-2 data
Gargiulo M.Primo
;Mazza A.;Gaetano R.;Ruello G.;Scarpa G.Ultimo
2018
Abstract
Sentinel-2 data represent a rich source of information for the community due to the free access and to the temporal-spatial coverage assured. However, some of the spectral bands are sensed at reduced resolution due to a compromise between technological limitations and Copernicus program's objectives. For this reason in this work we present a new superresolution method based on Convolutional Neural Networks (CNNs) to rise the resolution of the short wave infra-red (SWIR) band from 20 to 10 meters, that is the highest resolution provided. This is accomplished by fusing the target band with the finer-resolution ones. The proposed solution compares favourably against several alternative methods according to different quality indexes. In addition we have also tested the use of the super-resolved band from an applicative perspective by detecting water basins through the Modified Normalized Difference Water Index (MNDWI).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
