Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
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: 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 | ...
Abstract: Deep convolutional neural networks can use hierarchical information to progressively extract structural information to recover high-quality images. However, preserving the effectiveness of ...
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