New Results in Perceptually Lossless Compression of Hyperspectral Images

ISSN Print: 2159-4465
ISSN Online: 2159-4481
www.scirp.org/journal/jsip
E-mail: jsip@scirp.org

"New Results in Perceptually Lossless Compression of Hyperspectral Images"
written by Chiman Kwan, Jude Larkin,
published by Journal of Signal and Information Processing, Vol.10 No.3, 2019

has been cited by the following article(s):

[1]	Adaptive and Scalable Compression of Multispectral Images using VVC
	arXiv preprint arXiv:2301.04117, 2023

[2]	Content-Based Hyperspectral Image Compression Using a Multi-Depth Weighted Map With Dynamic Receptive Field Convolution
	2022

[3]	Fast Elevator Vibration Signal Cloud Collection System Using Data Compression and Encryption Algorithms
	Sensors and …, 2022

[4]	A systematic review of hardware-accelerated compression of remotely sensed hyperspectral images
	Sensors, 2022

[5]	Learned Hyperspectral Compression Using a Student's T Hyperprior
	Remote Sensing, 2021

[6]	A lossless compression method for multi-component medical images based on big data mining
	2021

[7]	Reliability analysis of the shyloc ccsds123 ip core for lossless hyperspectral image compression using cots FPGAs
	2020

[8]	DCSN: Deep Compressed Sensing Network for Efficient Hyperspectral Data Transmission of Miniaturized Satellite
	2020

[9]	Perceptually Lossless Compression for Mastcam Multispectral Images: A Comparative Study
	2019

[1]	A Coupled Compression Generation Network for Remote-Sensing Images at Extremely Low Bitrates IEEE Transactions on Geoscience and Remote Sensing, 2023 DOI:10.1109/TGRS.2023.3270271

[2]	DCSN: Deep Compressed Sensing Network for Efficient Hyperspectral Data Transmission of Miniaturized Satellite IEEE Transactions on Geoscience and Remote Sensing, 2021 DOI:10.1109/TGRS.2020.3034414

[3]	Learned Hyperspectral Compression Using a Student’s T Hyperprior Remote Sensing, 2021 DOI:10.3390/rs13214390

[4]	A Systematic Review of Hardware-Accelerated Compression of Remotely Sensed Hyperspectral Images Sensors, 2021 DOI:10.3390/s22010263

[5]	Reliability Analysis of the SHyLoC CCSDS123 IP Core for Lossless Hyperspectral Image Compression Using COTS FPGAs Electronics, 2020 DOI:10.3390/electronics9101681