The CCSDS 123.0-B-2 “Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression” Standard: A comprehensive review
M Hernández-Cabronero, AB Kiely… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
The Consultative Committee for Space Data Systems (CCSDS) published the CCSDS 123.0-
B-2,“Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image …
B-2,“Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image …
A systematic review of hardware-accelerated compression of remotely sensed hyperspectral images
A Altamimi, B Ben Youssef - Sensors, 2021 - mdpi.com
Hyperspectral imaging is an indispensable technology for many remote sensing
applications, yet expensive in terms of computing resources. It requires significant …
applications, yet expensive in terms of computing resources. It requires significant …
Robust and reconfigurable on-board processing for a hyperspectral imaging small satellite
Hyperspectral imaging is a powerful remote sensing technology, but its use in space is
limited by the large volume of data it produces, which leads to a downlink bottleneck …
limited by the large volume of data it produces, which leads to a downlink bottleneck …
Hyperspectral image compression using vector quantization, PCA and JPEG2000
Compression of hyperspectral imagery increases the efficiency of image storage and
transmission. It is especially useful to alleviate congestion in the downlinks of planes and …
transmission. It is especially useful to alleviate congestion in the downlinks of planes and …
SHyLoC 2.0: A versatile hardware solution for on-board data and hyperspectral image compression on future space missions
In this paper, we present the design, implementation and results of a set of IP cores that
perform on-board hyperspectral image compression according to the CCSDS 123.0-B-1 …
perform on-board hyperspectral image compression according to the CCSDS 123.0-B-1 …
High-Performance and Disruptive Computing in Remote Sensing: HDCRS—A new Working Group of the GRSS Earth Science Informatics Technical Committee …
The High-Performance and Disruptive Computing in Remote Sensing (HDCRS) Working
Group (WG) was recently established under the IEEE Geoscience and Remote Sensing …
Group (WG) was recently established under the IEEE Geoscience and Remote Sensing …
A parallel FPGA implementation of the CCSDS-123 compression algorithm
M Orlandić, J Fjeldtvedt, TA Johansen - Remote Sensing, 2019 - mdpi.com
Satellite onboard processing for hyperspectral imaging applications is characterized by
large data sets, limited processing resources and limited bandwidth of communication links …
large data sets, limited processing resources and limited bandwidth of communication links …
High-performance COTS FPGA SoC for parallel hyperspectral image compression with CCSDS-123.0-B-1
A Tsigkanos, N Kranitis… - … Transactions on Very …, 2020 - ieeexplore.ieee.org
Nowadays, hyperspectral imaging is recognized as a cornerstone remote sensing
technology. Next generation, high-speed airborne, and space-borne imagers have …
technology. Next generation, high-speed airborne, and space-borne imagers have …
An FPGA accelerator for real-time lossy compression of hyperspectral images
Hyperspectral images offer great possibilities for remote studies, but can be difficult to
manage due to their size. Compression helps with storage and transmission, and many …
manage due to their size. Compression helps with storage and transmission, and many …
Performance impact of parameter tuning on the CCSDS-123.0-B-2 low-complexity lossless and near-lossless multispectral and hyperspectral image compression …
I Blanes, A Kiely, M Hernández-Cabronero… - Remote Sensing, 2019 - mdpi.com
This article studies the performance impact related to different parameter choices for the new
CCSDS-123.0-B-2 Low-Complexity Lossless and Near-Lossless Multispectral and …
CCSDS-123.0-B-2 Low-Complexity Lossless and Near-Lossless Multispectral and …