Amanote Research

Amanote Research

    RegisterSign In

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

doi 10.4018/978-1-4666-3906-5.ch005
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2013

Authors
Jonathan DelcourtAlamin MansouriTadeusz SliwaYvon Voisin
Publisher

IGI Global


Related search

Evaluation of Onboard Hyperspectral-Image-Compression Techniques for a Parallel Push-Broom Sensor

1996English

Multi-Region Multi-Quality Coding Schemes for Medical Image Compression

English

Hyperspectral Image Restoration Under Complex Multi-Band Noises

Remote Sensing
EarthPlanetary Sciences
2018English

Using Predictive and Differential Methods With K2-Raster Compact Data Structure for Hyperspectral Image Lossless Compression

Remote Sensing
EarthPlanetary Sciences
2019English

Parallel Data Compression for Hyperspectral Imagery

2008English

Image Compression Using Fractal Image Compression With Multi-Layer Feed Forward Artificial Neural Network

International Journal for Research in Applied Science and Engineering Technology
2019English

Ultrasound Image Quality Assessment: A Framework for Evaluation of Clinical Image Quality

2010English

A New Semisupervised-Entropy Framework of Hyperspectral Image Classification Based on Random Forest

Advances in Multimedia
Computer Science
2018English

A Survey on Various Models and Methods in Image Compression for an Efficient Image Retrieval

International Journal of Computer Applications
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy