Abstract: Remote sensing image classification refers to the task that using algorithms to categorize satellite or aerial imagery into different land cover types. In the real world, long-tailed data ...
Imaging technology has transformed how we observe the universe—from mapping distant galaxies with radio telescope arrays to ...
A team of Sweden-based researchers has developed a snow loss model to estimate snow-induced PV power losses on an hourly basis. The proposed approach relies solely on data from remote sensing sources, ...
Abstract: Cross-scene hyperspectral image (HSI) classification faces spectral–spatial feature distribution shifts resulting from cross-domain heterogeneity, which has become a critical challenge that ...