Abstract: The core of hyperspectral change detection lies in accurately capturing spectral feature differences across different temporal phases to determine whether surface objects have changed. Since ...
1 Guangxi Key Lab of Brain-Inspired Computing and Intelligent Chips, School of Electronic and Information Engineering, Guangxi Normal University, Guilin, China 2 Key Laboratory of Nonlinear Circuits ...
ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...
Just Add Power, a leader in AV-over-IP distribution, has announced that its ST1 Sound Device now has the ability to add a stereo source to any Just Add Power MaxColor 4K60 system. The ST1 can also be ...
Deep learning has been widely applied to high-dimensional hyperspectral image classification and has achieved significant improvements in classification accuracy. However, most current hyperspectral ...
As AI glasses like Ray-Ban Meta gain popularity, wearable AI devices are receiving increased attention. These devices excel at providing voice-based AI assistance and can see what users see, helping ...
Magewell has announced Q-Sys plugin integrations for the Pro Convert family of live IP video encoders and decoders. The Pro Convert plugin integrations have been endorsed with Q-Sys Certified status ...
Abstract: With the growing popularity of high-resolution (HR) video and the continuous growth of network bandwidth, the challenge of object removal detection in HR videos has attracted significant ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback