DCI-PGCN: dual-channel interaction portable graph convolutional network for landslide detection
W Li, Y Fu, S Fan, M Xin, H Bai - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Landslide, a kind of destructive natural disaster, often occurs in the mountainous areas of
China. Landslide information instant collection plays an important role in taking appropriate …
China. Landslide information instant collection plays an important role in taking appropriate …
PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances in the Arctic
Arctic Permafrost is facing significant changes due to global climate change. As these
regions are largely inaccessible, remote sensing plays a crucial rule in better understanding …
regions are largely inaccessible, remote sensing plays a crucial rule in better understanding …
Contrastive Self-Supervised Learning for Globally Distributed Landslide Detection
The Remote Sensing (RS) field continuously grapples with the challenge of transforming
satellite data into actionable information. This ongoing issue results in an ever-growing …
satellite data into actionable information. This ongoing issue results in an ever-growing …
Performance Improvement of Deep Convolutional Networks for Aerial Imagery Segmentation of Natural Disaster-Affected Areas
This study proposes a framework for improving performance and exploring the application of
Deep Convolutional Networks (DCN) using the best parameters and criteria to accurately …
Deep Convolutional Networks (DCN) using the best parameters and criteria to accurately …
PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances
Arctic Permafrost is facing significant changes due to global climate change. As these
regions are largely inaccessible, remote sensing plays a crucial rule in better understanding …
regions are largely inaccessible, remote sensing plays a crucial rule in better understanding …