Search Results for author:
Found 2 papers, 0 papers with code
A Framework of Landsat-8 Band Selection based on UMDA for Deforestation Detection
Furthermore, the best composition (651) found by UMDA algorithm fed the DeepLabv3+ architecture and surpassed in efficiency and effectiveness all compositions compared in this work.
Neuroevolution-based Classifiers for Deforestation Detection in Tropical Forests
Tropical forests represent the home of many species on the planet for flora and fauna, retaining billions of tons of carbon footprint, promoting clouds and rain formation, implying a crucial role in the global ecosystem, besides representing the home to countless indigenous peoples.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
