CNES Studies of On-Board Compression for Multispectral and Hyperspectral Images (original) (raw)

A Hardware Implementation of CCSDS 122.1-B-1 for Transformed-Based Lossy Multispectral and Hyperspectral Image Compression

A. Paschalis, Maria Taipliadou

CERN European Organization for Nuclear Research - Zenodo, 2022

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Lossless compression of hyperspectral images with pre-byte processing and intra-bands correlation

Alexander Zamyatin, DYNA Revista

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Hyperspectral Image Compression Algorithms -A Review

Dr Thyagharajan K K

Intelligence and Evolutionary Algorithms in Engineering Systems, 2014

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AN APPROACH FOR MULTISPECTRAL IMAGE COMPRESSION

Prashantha HS

IJEAST, 2020

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Software Implementation of CCSDS Recommended Hyperspectral Lossless Image Compression

kuhelika bera

International Journal of Image, Graphics and Signal Processing, 2015

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A New Algorithm for the On-Board Compression of Hyperspectral Images

Sebastián Ramírez López

Remote Sensing, 2018

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A Hardware-Friendly Algorithm for the On-Board Compression of Hyperspectral Images

Maria D Í A Z Soriano

2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2018

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Implementation of CCSDS Recommended Hyperspectral Lossless Image Compression

kuhelika bera

2016

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A new lossless compression algorithm for satellite earth science multi-spectral imagers

Irina Gladkova

Satellite Data Compression, Communications, and Archiving III, 2007

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Zerotree-based Compression Algorithm for Spaceborne Hyperspectral Sensor

William Pearlman

2000

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Quantitative evaluation of hyperspectral data compressed by near lossless onboard compression techniques

Martin Bergeron

IEEE International Geoscience and Remote Sensing Symposium

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Hyperspectral Image Compression Methods: A review

Journal of Computer Science IJCSIS

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CCSDS-MHC ON BEAGLEBONE-BLACK BOARD FOR LOSSLESS HYPERSPECTRAL IMAGE COMPRESSION

wan amir fuad wajdi othman

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A comparison of multispectral satellite sequence compression approaches

Beatrice Pesquet-popescu

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On-board Compressing of Hyperspectral Images using CCSDS 123

Cesar Zeferino

Anais do XI Computer on the Beach - COTB '20

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Parallel Implementation of the CCSDS 1.2.3 Standard for Hyperspectral Lossless Compression

Daniel Mozos

Remote Sensing

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The New CCSDS Standard for Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression [STUB]

Roberto Camarero

2018

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An Efficient Multispectral Images Compression Technique

Mohamed Amin

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Transform Coding Techniques for Lossy Hyperspectral Data Compression

Barbara Penna

IEEE Transactions on Geoscience and Remote Sensing, 2007

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MULTISPECTRAL IMAGE COMPRESSION USING DISCRETE COSINE TRANSFORM

Prashantha HS

IJEAST, 2020

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Low-complexity compression of multispectral images based on classified transform coding

Luca Cicala

Signal Processing: Image Communication, 2006

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A Survey on Hyperspectral Image Compression Techniques

Vipula Singh

International journal of engineering research and technology, 2018

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Lossless Compression of Hyperspectral Imagery via Clustered Differential Pulse Code Modulation with Removal of Local Spectral Outliers

Jarno Mielikainen

IEEE Signal Processing Letters, 2015

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Scalable data-rate near-lossless hyperspectral image compression based on parallel implementation of CCSDS-123.0-B-2

Panagiotis Chatziantoniou

Zenodo (CERN European Organization for Nuclear Research), 2022

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System considerations for multispectral image compression designs

V Vaughn

IEEE Signal Processing Magazine, 1995

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Lossy Multi/Hyperspectral Compression HW Implementation at high data rate

Giuseppe Capuano

2014

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Significance of pre-processing and its impact on lossless hyperspectral image compression

Vipula Singh

The Imaging Science Journal, 2017

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Hyperspectral Data Compression Framework for Earth Remote Sensing Objectives

Дмитрий Перцев

2016

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An Evaluation Framework and a Benchmark for Multi/Hyperspectral Image Compression

Yvon Voisin

International Journal of Computer Vision and Image Processing, 2011

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Hyperspectral Image Compression Using JPEG2000 and Principal Component Analysis

James Fowler

IEEE Geoscience and Remote Sensing Letters, 2000

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Development and investigation of a hierarchical compression algorithm for storing hyperspectral images

Tatiana Plisko

Optical Memory and Neural Networks, 2016

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Near-Lossless Compression of Hyperspectral Images

Richard Ladner

2006 International Conference on Image Processing, 2006

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Hyperspectral Image Compression Using Vector Quantization, PCA and JPEG2000

Daniel Mozos

Remote Sensing

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Information-theoretic assessment of on-board near-lossless compression of hyperspectral data

Stefano Baronti

Journal of Applied Remote Sensing, 2013

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A Comparative Study of Lossless Compression Algorithms on Multi-spectral Imager Data

Jamal Goddard, Paul Alabi, Irina Gladkova, Michael Grossberg, Malka Rabinowitz

2009 Data Compression Conference, 2009

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