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A review of earth artificial intelligence
In recent years, Earth system sciences are urgently calling for innovation on improving
accuracy, enhancing model intelligence level, scaling up operation, and reducing costs in …
accuracy, enhancing model intelligence level, scaling up operation, and reducing costs in …
Deep learning in remote sensing: A comprehensive review and list of resources
XX Zhu, D Tuia, L Mou, GS ** with Sentinel-2
Sentinel-2 multi-spectral images collected over periods of several months were used to
estimate vegetation height for Gabon and Switzerland. A deep convolutional neural network …
estimate vegetation height for Gabon and Switzerland. A deep convolutional neural network …
[HTML][HTML] Deep learning techniques for enhanced sea-ice types classification in the Beaufort Sea via SAR imagery
Y Huang, Y Ren, X Li - Remote Sensing of Environment, 2024 - Elsevier
This study proposes a dual-branch encoder U-Net (DBU-Net) deep learning model to
classify sea ice types based on synthetic aperture radar (SAR) images in the Beaufort Sea …
classify sea ice types based on synthetic aperture radar (SAR) images in the Beaufort Sea …
DeepBlue: Advanced convolutional neural network applications for ocean remote sensing
In the last 40 years, remote sensing technology has evolved, significantly advancing ocean
observation and catapulting its data into the big data era. How to efficiently and accurately …
observation and catapulting its data into the big data era. How to efficiently and accurately …