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Neural-network fusion processing and inverse mapping to combine multi-sensor satellite data and to analyze significant features
<div>In the last decade, the increase in the number of active and passive earth observation satellites has provided us with more remote sensing data. This fact has led to increased interests in the field of fusion of the different satellite data since some of the satellites have properties complementary to one another. Fusion techniques can improve the estimation in areas of interest (AOIs) by using complementary information and inferring unknown parameters. However, when the observation areadoi:10.36227/techrxiv.16970446 fatcat:7oslywxlpjfiflndv2k7ejzurm