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...
Main Authors: | S. Sreelakshmi, S.S. Vinod Chandra |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2024-03-01
|
Series: | Results in Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123023007831 |
Similar Items
-
Fusion of visual salience maps for object acquisition
by: Shlomo Greenberg, et al.
Published: (2020-06-01) -
Research on Texture Feature Recognition of Regional Architecture Based on Visual Saliency Model
by: Jing Liu, et al.
Published: (2023-11-01) -
Visual explanations with detailed spatial information for remote sensing image classification via channel saliency
by: Xianpeng Guo, et al.
Published: (2023-04-01) -
Unsupervised Change Detection from Remotely Sensed Images Based on Multi-Scale Visual Saliency Coarse-to-Fine Fusion
by: Pengfei He, et al.
Published: (2021-02-01) -
Augmented Grad-CAM++: Super-Resolution Saliency Maps for Visual Interpretation of Deep Neural Network
by: Yongshun Gao, et al.
Published: (2023-11-01)