You will be redirected to our submission process. The accelerating pace of global environmental change driven by climate change, biodiversity loss, land degradation, and urbanization demands ...
A new artificial intelligence method can describe changes in satellite images even when the images are rotated or spatially misaligned. The framework, called RotCap, improves remote sensing change ...
This repository documents my complete learning journey through the Coursera course Remote Sensing Image Acquisition, Analysis, and Applications. It is part of my broader PhD preparation plan in ...
ABSTRACT: Cloud detection is a critical preprocessing step in remote sensing image processing, as the presence of clouds significantly affects the accuracy of remote sensing data and limits its ...
ABSTRACT: Cloud detection is a critical preprocessing step in remote sensing image processing, as the presence of clouds significantly affects the accuracy of remote sensing data and limits its ...
This repository is the code implementation of the paper RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model, which is based on the Open-cd ...
Abstract: The existence of thick clouds covers the comprehensive Earth observation of optical remote sensing images (RSIs). Cloud removal is an effective and economical preprocessing step to improve ...
Using deep learning and supercomputers, researchers have been able to identify and map 1.2 billion ice wedge polygons in the Arctic permafrost based on satellite imagery. The data helps establish a ...
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