Abstract: Existing deep learning-based remote sensing images semantic segmentation methods require large-scale labeled datasets. However, the annotation of segmentation datasets is often too ...

Addressing at a high-level international conference on Glaciers’ Preservation in Tajikistan’s Dushanbe, Singh highlighted ...

In this article, a DL method is presented to deal with the semantic segmentation of very-high-resolution (VHR) remote-sensing data in the case of scarce GT. The main idea is to combine a specific type ...

Accurate climate prediction, particularly precipitation forecasting, remains a cornerstone for agriculture, water resource management, and disaster ...

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Researchers from the University of Kansas have created a web-based app for the public that provides free satellite monitoring ...