COMPARISON OF CONVOLUTIONAL NEURAL NETWORKS FOR CLOUDY OPTICAL IMAGES RECONSTRUCTION FROM SINGLE OR MULTITEMPORAL JOINT SAR AND OPTICAL IMAGES

Autor: R. Cresson, N. Narçon, R. Gaetano, A. Dupuis, Y. Tanguy, S. May, B. Commandré

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2022, Pp 1317-1326 (2022)

With the increasing availability of optical and synthetic aperture radar (SAR) images thanks to the Sentinel constellation, and the explosion of deep learning, new methods have emerged in recent years to tackle the reconstruction of optical images th

Externí odkaz: https://doaj.org/article/1ad6f462b8e543d7992163421ac2abc0