Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/90351
Type: Artigo de periódico
Title: Performance Evaluation Of Data Compression Systems Applied To Satellite Imagery
Author: Faria L.N.
Fonseca L.M.G.
Costa M.H.M.
Abstract: Onboard image compression systems reduce the data storage and downlink bandwidth requirements in space missions. This paper presents an overview and evaluation of some compression algorithms suitable for remote sensing applications. Prediction-based compression systems, such as DPCM and JPEG-LS, and transform-based compression systems, such as CCSDS-IDC and JPEG-XR, were tested over twenty multispectral (5-band) images from CCD optical sensor of the CBERS-2B satellite. Performance evaluation of these algorithms was conducted using both quantitative rate-distortion measurements and subjective image quality analysis. The PSNR, MSSIM, and compression ratio results plotted in charts and the SSIM maps are used for comparison of quantitative performance. Broadly speaking, the lossless JPEG-LS outperforms other lossless compression schemes, and, for lossy compression, JPEG-XR can provide lower bit rate and better tradeoff between compression ratio and image quality. Copyright © 2012 Lilian N. Faria et al.
Editor: 
Rights: aberto
Identifier DOI: 10.1155/2012/471857
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84861056152&partnerID=40&md5=f6c61f1c5b7ee8c66096a7440b2a0a0a
Date Issue: 2012
Appears in Collections:Unicamp - Artigos e Outros Documentos

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