Land cover change detection with heterogeneous remote sensing images: Review, progress, and perspective
With the fast development of remote sensing platforms and sensors technology, change
detection with heterogeneous remote sensing images (Hete-CD) has become an attractive …
detection with heterogeneous remote sensing images (Hete-CD) has become an attractive …
[HTML][HTML] Machine learning and landslide studies: recent advances and applications
Upon the introduction of machine learning (ML) and its variants, in the form that we know
today, to the landslide community, many studies have been carried out to explore the …
today, to the landslide community, many studies have been carried out to explore the …
Optical remote sensing image change detection based on attention mechanism and image difference
X Peng, R Zhong, Z Li, Q Li - IEEE Transactions on Geoscience …, 2020 - ieeexplore.ieee.org
This study presents a new end-to-end change detection network, called difference-
enhancement dense-attention convolutional neural network (DDCNN), that is designed for …
enhancement dense-attention convolutional neural network (DDCNN), that is designed for …
Deep learning-based object detection in low-altitude UAV datasets: A survey
Deep learning-based object detection solutions emerged from computer vision has
captivated full attention in recent years. The growing UAV market trends and interest in …
captivated full attention in recent years. The growing UAV market trends and interest in …
Spatial–spectral attention network guided with change magnitude image for land cover change detection using remote sensing images
Z Lv, F Wang, G Cui, JA Benediktsson… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Land cover change detection (LCCD) using remote sensing images (RSIs) plays an
important role in natural disaster evaluation, forest deformation monitoring, and wildfire …
important role in natural disaster evaluation, forest deformation monitoring, and wildfire …
Land cover change detection techniques: Very-high-resolution optical images: A review
Land cover change detection (LCCD) with remote sensing images is an important
application of Earth observation data because it provides insights into environmental health …
application of Earth observation data because it provides insights into environmental health …
[HTML][HTML] 多源遥感地质灾害早期识别技术进展与发展趋势
张勤， 赵超英， 陈雪蓉 - 2022 - xb.chinasmp.com
随着全球气候变化, 矿产资源开采和大型人类工程活动的不断加剧, 冰崩, 塌陷, 滑坡,
地面沉降和地裂缝等多类型地质灾害呈现高频性和链生性的趋势, 灾害后果更加严重 …
地面沉降和地裂缝等多类型地质灾害呈现高频性和链生性的趋势, 灾害后果更加严重 …
Landslide inventory mapping from bitemporal images using deep convolutional neural networks
Most of the approaches used for Landslide inventory mapping (LIM) rely on traditional
feature extraction and unsupervised classification algorithms. However, it is difficult to use …
feature extraction and unsupervised classification algorithms. However, it is difficult to use …
[HTML][HTML] Machine learning for landslides prevention: a survey
Landslides are one of the most critical categories of natural disasters worldwide and induce
severely destructive outcomes to human life and the overall economic system. To reduce its …
severely destructive outcomes to human life and the overall economic system. To reduce its …
Comparing fully convolutional networks, random forest, support vector machine, and patch-based deep convolutional neural networks for object-based wetland …
T Liu, A Abd-Elrahman, J Morton… - GIScience & remote …, 2018 - Taylor & Francis
Deep learning networks have shown great success in several computer vision applications,
but its implementation in natural land cover mapping in the context of object-based image …
but its implementation in natural land cover mapping in the context of object-based image …