Lightweight multiscale information aggregation network for land cover land use semantic segmentation from remote sensing images

Lightweight multiscale information aggregation network for land cover land use semantic segmentation from remote sensing images

Abstract Land Cover and Land Use (LCLU) segmentation plays a fundamental role in various remote sensing applications, including environmental monitoring, urban planning, and disaster management. Traditional models often face limitations in real-time processing and deployment on resource-constrained...

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Bibliographic Details
Main Authors: Yahia Said, Oumaima Saidani, Ali Delham Algarni, Mohammad H. Algarni, Ayman Flah
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Land cover land use LCLU
Remote sensing
Deep learning
Dense dilated convolution
Lightweight implementation
Context information aggregation module
Online Access:https://doi.org/10.1038/s41598-025-07908-4
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https://doi.org/10.1038/s41598-025-07908-4

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