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 ...
The Visual Sales Killer: Why Your "Good Enough" Photos Are Costing You Money (And the 2-Step AI Fix)
Millisecond Judgement In the ruthless arena of the digital economy, you do not have the luxury of time. Studies confirm that ...
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: Deep convolutional neural networks can use hierarchical information to progressively extract structural information to recover high-quality images. However, preserving the effectiveness of ...
CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
Abstract: Recent advancements in deep convolutional neural networks show significant improvements in single-image super-resolution (SR). Existing SR methods typically focus on designing deeper or ...
Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...
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