Deep network based approaches to mitigate seasonal effects in SAR images for deforestation monitoring

Autor: C. N. Neves, M. X. Ortega Adarme, R. Q. Feitosa, J. Doblas Prieto, G. A. Giraldi

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-3-2024, Pp 261-267 (2024)

Most deforestation monitoring programs are based on optical images, which are severely affected by clouds, especially in tropical regions. As an alternative, Synthetic Aperture Radar (SAR) data are minimally affected by atmospheric conditions. Howeve

Externí odkaz: https://doaj.org/article/2ac8e5db335e4843b8e5b9bedd518ffb