Physical parameter regression from black hole images using a multiscale adaptive neural network
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DOI: 10.1088/1674-1137/adf542
Abstract: High-precision regression of physical parameters from black hole images generated by General Relativistic Ray Tracing (GRRT) is essential for investigating spacetime curvature and advancing black hole astrophysics. However, owing to limitations in observational resolution, high… read more here.
Keywords: black hole; parameter; multiscale adaptive; hole images ... See more keywords
Multiscale Adaptive Convolution for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3185125
Abstract: Convolutional neural network (CNN) is widely used in hyperspectral image (HSI) classification owing to their advantages of spatial-spectral features capture capability and learning depth features as well as their structural flexibility. Nevertheless, the shape of… read more here.
Keywords: convolution; multiscale adaptive; classification; hyperspectral image ... See more keywords
Multiscale Adaptive Fusion Network for Hyperspectral Image Denoising
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3257051
Abstract: Removing the noise and improving the visual quality of hyperspectral images (HSIs) is challenging in academia and industry. Great efforts have been made to leverage local, global, or spectral context information for HSI denoising. However,… read more here.
Keywords: network; fusion; multiscale adaptive; fusion network ... See more keywords