Visual saliency-based landslide identification using super-resolution remote sensing data

Visual saliency-based landslide identification using super-resolution remote sensing data

Landslides, ubiquitous geological hazards on steep slopes, present formidable challenges in tropical regions with dense rainforest vegetation, impeding accurate mapping and risk assessment. To address this, we propose an innovative deep-learning framework utilizing visual saliency for automatic land...

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Bibliographic Details
Main Authors: S. Sreelakshmi, S.S. Vinod Chandra
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Results in Engineering
Subjects:
Deep learning
Visual saliency
Image segmentation
Damage detection
Feature extraction
Remote sensing
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123023007831

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http://www.sciencedirect.com/science/article/pii/S2590123023007831

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