Lossless and Near-Lossless Compression Algorithms for Remotely Sensed Hyperspectral Images
A Altamimi, B Ben Youssef - Entropy, 2024 - mdpi.com
Rapid and continuous advancements in remote sensing technology have resulted in finer
resolutions and higher acquisition rates of hyperspectral images (HSIs). These …
resolutions and higher acquisition rates of hyperspectral images (HSIs). These …
Hyperspectral Image Denoising Based on Deep and Total Variation Priors
P Wang, T Sun, Y Chen, L Ge, X Wang, L Wang - Remote Sensing, 2024 - mdpi.com
To address the problems of noise interference and image blurring in hyperspectral imaging
(HSI), this paper proposes a denoising method for HSI based on deep learning and a total …
(HSI), this paper proposes a denoising method for HSI based on deep learning and a total …
Guaranteed Sampling Flexibility for Low-tubal-rank Tensor Completion
While Bernoulli sampling is extensively studied in tensor completion, t-CUR sampling
approximates low-tubal-rank tensors via lateral and horizontal subtensors. However, both …
approximates low-tubal-rank tensors via lateral and horizontal subtensors. However, both …
Compression of electrical code violation recognition data using the improved swinging door trending algorithm
Y Yang, X Zhao, T Han, Z Li, F Pan - Applied Mathematics and Nonlinear … - sciendo.com
Aiming at the challenge of storing massive power grid data, this paper proposes an
improved swing gate trend algorithm to effectively compress 5G data. The algorithm first …
improved swing gate trend algorithm to effectively compress 5G data. The algorithm first …