Adaptive Patch Reshaping for Edge-Based Semantic Segmentation in Remote Sensing

Accurate boundary detection between distinct classes is a major challenge in the semantic segmentation of remote sensing images. A widely used strategy involves dividing large images into patches for classification, which requires carefully prepared training, test, and validation datasets. When the...

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Autors principals:	Rostyslav Kosarevych, Oleksiy Lutsyk, Bohdan Rusyn, Natalia Pits, Taras Maksymyuk, Marcel Volosin
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2026-01-01
Col·lecció:	IEEE Access
Matèries:	Convolutional neural networks remote sensing images semantic segmentation
Accés en línia:	https://ieeexplore.ieee.org/document/11400534/
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