Abstract: Deep-learning techniques have made significant advances in remote sensing change detection task. However, it remains a great challenge to detect the details of changed areas from ...
External validation was performed using data from 670 patients at Ajou University Hospital (March 2022 to September 2022). We evaluated machine learning algorithms (random forest [RF], extra-trees ...
Abstract: In the field of remote sensing, semantic segmentation of unmanned aerial vehicle (UAV) imagery is crucial for tasks such as land resource management, urban planning, precision agriculture, ...
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