Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
In a recent study, researchers from China have developed a chip-scale LiDAR system that mimics the human eye's foveation by dynamically concentrating high-resolution sensing on regions of interest ...
Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and multispectral photography. While radar and LiDAR penetrate canopies to reveal ...
Abstract: In this article, a multimodal deep architecture for classification of light detection and ranging (LiDAR) and hyperspectral image (HSI) is proposed, acquiring the knowledge of both ...
Abstract: Recent advances in Super-Resolution (SR) image reconstruction using Convolutional Neural Networks (CNNs) have encountered significant challenges in effectively modeling the complex mapping ...
Spend 8 minutes with an image that has changed astronomy forever - the first-ever deep field view of galaxy cluster SMACS 0723 from the James Webb Space Telescope. Credit: NASA, ESA, CSA, and STScI | ...
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