Papers Landslide segmentation
“Landslide segmentation” 태그가 달린 논문 8편 · 필터 해제
RMAU-NET: A Residual-Multihead-Attention U-Net Architecture for Landslide Segmentation and Detection from Remote Sensing Images
In recent years, landslide disasters have reported frequently due to the extreme weather events of droughts, floods , storms, or the consequence of human activities such as deforestation, excessive exploitation of natura…
Landslide segmentationAuto-Prompting SAM for Weakly Supervised Landslide Extraction
Weakly supervised landslide extraction aims to identify landslide regions from remote sensing data using models trained with weak labels, particularly image-level labels. However, it is often challenged by the imprecise …
Landslide segmentationObject LocalizationPrompt EngineeringTransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model
Landslides are one of the most destructive natural disasters in the world, posing a serious threat to human life and safety. The development of foundation models has provided a new research paradigm for large-scale lands…
Image SegmentationLandslide segmentationSegmentationSemantic Segmentation+1Estimating Uncertainty in Landslide Segmentation Models
Landslides are a recurring, widespread hazard. Preparation and mitigation efforts can be aided by a high-quality, large-scale dataset that covers global at-risk areas. Such a dataset currently does not exist and is impos…
Data AugmentationLandslide segmentationSegmentationA Multi-Source Data Fusion-based Semantic Segmentation Model for Relic Landslide Detection
As a natural disaster, landslide often brings tremendous losses to human lives, so it urgently demands reliable detection of landslide risks. When detecting relic landslides that present important information for landsli…
Contrastive LearningLandslide segmentationSemantic SegmentationSAR-based landslide classification pretraining leads to better segmentation
Rapid assessment after a natural disaster is key for prioritizing emergency resources. In the case of landslides, rapid assessment involves determining the extent of the area affected and measuring the size and location …
ClassificationLandslide segmentationDeep Learning for Landslide Recognition in Satellite Architecture
Using the optical camera in remote sensing is limited in various environmental conditions. This paper presents a system of combining deep learning and image transform algorithms to detect landslide location in satellite …
Deep LearningLandslide segmentationLandslide Segmentation with U-Net: Evaluating Different Sampling Methods and Patch Sizes
Landslide inventory maps are crucial to validate predictive landslide models; however, since most mapping methods rely on visual interpretation or expert knowledge, detailed inventory maps are still lacking. This study u…
Landslide segmentation