Treffer: SAR complex image data compression based on quadtree and zerotree Coding in Discrete Wavelet Transform Domain: A Comparative Study

Title:
SAR complex image data compression based on quadtree and zerotree Coding in Discrete Wavelet Transform Domain: A Comparative Study
Source:
Neurocomputing (Amsterdam). 148:561-568
Publisher Information:
Amsterdam: Elsevier, 2015.
Publication Year:
2015
Physical Description:
print, 11 ref
Original Material:
INIST-CNRS
Subject Terms:
Cognition, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Informatique théorique, Theoretical computing, Algorithmique. Calculabilité. Arithmétique ordinateur, Algorithmics. Computability. Computer arithmetics, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Théorie du signal et des communications, Signal and communications theory, Codage, codes, Coding, codes, Terre, ocean, espace, Earth, ocean, space, Geophysique externe, External geophysics, Télédétection, photointerprétation, Remote sensing, photointerpretation, Analyse amas, Cluster analysis, Analisis cluster, Analyse image, image analysis, Análisis imagen, Banque image, Image databank, Banco imagen, Compression donnée, Data compression, Compresión dato, Compression image, Image compression, Compresión imagen, Etude comparative, Comparative study, Estudio comparativo, Image optique, Optical image, Imagen óptica, Méthode variable complexe, Complex variable method, Método variable compleja, Quad arbre, Quad tree, Quad árbol, Radar ouverture synthétique, Synthetic aperture radar, Traitement image, image processing, Transformation ondelette, wavelet transformation, Télédétection, remote sensing, Detección a distancia, Vision ordinateur, Computer vision, Visión ordenador, Codage vidéo, Video coding, Codificación de vídeo, Transformation ondelette discrète, Discrete wavelet transforms, Transformación ondita discreta, Quadtree, SAR complex image data compression, Zerotree
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, China
Qualcomm Research, San Diego, CA, United States
ISSN:
0925-2312
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

External geophysics

Telecommunications and information theory
Accession Number:
edscal.28844569
Database:
PASCAL Archive

Weitere Informationen

A SAR complex image data compression algorithm based on quadtree coding (QC) in discrete wavelet transform (DWT) domain (QC-DWT) is proposed. We show that QC-DWT achieves the best performance for SAR complex image compression. Besides this, in this work, we observed a novel phenomenon that QC-DWT outperforms the zerotree based wavelet coding algorithms, e.g., Consultative Committee for Space Data Systems-Image Data Compression (CCSDS-IDC) and Set Partitioning in Hierarchical Trees algorithm (SPIHT) for SAR complex image data, and there exists deficiency of CCSDS-IDC for SAR complex image data compression. This is because the DWT coefficients of SAR complex image data always have intrascale clustering characteristic and no interscale attenuation characteristic, which is different from that of SAR amplitude images and other optical images.