Foundation models for generalist medical artificial intelligence
The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI)
models is likely to usher in newfound capabilities in medicine. We propose a new paradigm …
models is likely to usher in newfound capabilities in medicine. We propose a new paradigm …
Deep learning approaches for wildland fires using satellite remote sensing data: Detection, mapping, and prediction
R Ghali, MA Akhloufi - Fire, 2023 - mdpi.com
Wildland fires are one of the most dangerous natural risks, causing significant economic
damage and loss of lives worldwide. Every year, millions of hectares are lost, and experts …
damage and loss of lives worldwide. Every year, millions of hectares are lost, and experts …
Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning
Compared with disturbance maps produced at annual or multi-year time steps, monthly
mapping of forest harvesting can provide more temporal details needed for studying the …
mapping of forest harvesting can provide more temporal details needed for studying the …
[HTML][HTML] Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions
The normalized difference vegetation index (NDVI) is crucial to many sustainable
agricultural practices such as vegetation monitoring and health evaluation. However, optical …
agricultural practices such as vegetation monitoring and health evaluation. However, optical …
Detection of forest fire using deep convolutional neural networks with transfer learning approach
Forest fires caused by natural causes such as climate change, temperature increase,
lightning strikes, volcanic activity or human effects are among the world's most dangerous …
lightning strikes, volcanic activity or human effects are among the world's most dangerous …
[HTML][HTML] Burnt-Net: Wildfire burned area mapping with single post-fire Sentinel-2 data and deep learning morphological neural network
ST Seydi, M Hasanlou, J Chanussot - Ecological Indicators, 2022 - Elsevier
Accurate and timely mapping of wildfire burned areas is crucial for post-fire management,
planning, and next subsequent actions. The monitoring and mapping of the burned area by …
planning, and next subsequent actions. The monitoring and mapping of the burned area by …
Temporal-agnostic change region proposal for semantic change detection
Remote sensing imagery allows temporal and large-scale observation of the Earth, and
advanced techniques such as deep learning have been developed to deal with the massive …
advanced techniques such as deep learning have been developed to deal with the massive …
A two-stage method for ship detection using PolSAR image
Ship detection using polarimetric synthetic aperture radar (PolSAR) images has recently
been an active topic in the Earth observation field, in which how to detect small ships is an …
been an active topic in the Earth observation field, in which how to detect small ships is an …
[HTML][HTML] Resiliency-oriented operation of distribution networks under unexpected wildfires using multi-horizon information-gap decision theory
Extreme events may trigger cascading outages of different components in power systems
and cause a substantial loss of load. Forest wildfires, as a common type of extreme events …
and cause a substantial loss of load. Forest wildfires, as a common type of extreme events …
[PDF][PDF] 深度学习的遥感变化检测综述: 文献计量与分析
杨彬， 毛银， 陈晋， 刘建强， 陈杰， 闫凯 - 遥感学报, 2023 - ygxb.ac.cn
遥感变化检测可以获取地表变化信息, 对于理解人与自然相互作用, 推动可持续发展具有重要
意义. 随着遥感成像技术的提升和计算机科学的快速发展, 高光谱, 高时间, 高空间分辨率的遥感 …
意义. 随着遥感成像技术的提升和计算机科学的快速发展, 高光谱, 高时间, 高空间分辨率的遥感 …