@inproceedings{adigun2022location,
author = {Adigun, Olaoluwa and Olsen, Peder and Chandra, Ranveer},
title = {Location Aware Super-Resolution for Satellite Data Fusion},
organization = {IEEE},
booktitle = {IGARSS 2022},
year = {2022},
month = {July},
abstract = {Satellite data fusion involves images with different spatial, temporal, and spectral resolution. These images are taken under different illumination conditions, with different sensors and atmospheric noise. We use classic super-resolution algorithms to synthesize commercial satellite images from a public satellite source (Sentinel-2). Each super-resolution resolution method is then further improved by adaptive sharpening to the location by use of matrix completion (regression with missing pixels). Finally, we consider ensemble systems and a residual channel attention dual network with stochastic dropout. The resulting systems are visibly less blurry with higher fidelity and yield improved performance},
publisher = {IEEE},
url = {http://approjects.co.za/?big=en-us/research/publication/location-aware-super-resolution-for-satellite-data-fusion/},
}