Abstract: Extraction of building footprint polygons from remotely sensed data is essential for several urban understanding tasks such as reconstruction, navigation, and mapping. Despite significant ...
Deep Learning-Based Methods for Lithology Classification and Identification in Remote Sensing Images
Abstract: This study presents a deep learning model that integrates Vision Transformers (ViT) with Fourier spectral filtering for remote sensing lithology classification. The model automates the ...
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