Application oriented compression based on the wavelet transform for micro-satellite imaging

Peixin Hou, M. Petrou, Seiichiro Kamata, C. I. Underwood

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A method is proposed which encodes different regions with different algorithms. This method is highly application oriented. The performance of this method has been validated on eight Landsat TM multi-spectral images.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages505-514
Number of pages10
Volume3870
Publication statusPublished - 1999
Externally publishedYes
EventSensors, Systems, and Next-Generation Satellites III - Florence, Italy
Duration: 1999 Sep 201999 Sep 23

Other

OtherSensors, Systems, and Next-Generation Satellites III
CityFlorence, Italy
Period99/9/2099/9/23

Fingerprint

wavelet analysis
Wavelet transforms
Satellites
Imaging techniques

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Hou, P., Petrou, M., Kamata, S., & Underwood, C. I. (1999). Application oriented compression based on the wavelet transform for micro-satellite imaging. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 3870, pp. 505-514). Society of Photo-Optical Instrumentation Engineers.

Application oriented compression based on the wavelet transform for micro-satellite imaging. / Hou, Peixin; Petrou, M.; Kamata, Seiichiro; Underwood, C. I.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 3870 Society of Photo-Optical Instrumentation Engineers, 1999. p. 505-514.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hou, P, Petrou, M, Kamata, S & Underwood, CI 1999, Application oriented compression based on the wavelet transform for micro-satellite imaging. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 3870, Society of Photo-Optical Instrumentation Engineers, pp. 505-514, Sensors, Systems, and Next-Generation Satellites III, Florence, Italy, 99/9/20.
Hou P, Petrou M, Kamata S, Underwood CI. Application oriented compression based on the wavelet transform for micro-satellite imaging. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 3870. Society of Photo-Optical Instrumentation Engineers. 1999. p. 505-514
Hou, Peixin ; Petrou, M. ; Kamata, Seiichiro ; Underwood, C. I. / Application oriented compression based on the wavelet transform for micro-satellite imaging. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 3870 Society of Photo-Optical Instrumentation Engineers, 1999. pp. 505-514
@inproceedings{a490c179d50c43ae87b5e53f4f77dc82,
title = "Application oriented compression based on the wavelet transform for micro-satellite imaging",
abstract = "A method is proposed which encodes different regions with different algorithms. This method is highly application oriented. The performance of this method has been validated on eight Landsat TM multi-spectral images.",
author = "Peixin Hou and M. Petrou and Seiichiro Kamata and Underwood, {C. I.}",
year = "1999",
language = "English",
volume = "3870",
pages = "505--514",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "Society of Photo-Optical Instrumentation Engineers",

}

TY - GEN

T1 - Application oriented compression based on the wavelet transform for micro-satellite imaging

AU - Hou, Peixin

AU - Petrou, M.

AU - Kamata, Seiichiro

AU - Underwood, C. I.

PY - 1999

Y1 - 1999

N2 - A method is proposed which encodes different regions with different algorithms. This method is highly application oriented. The performance of this method has been validated on eight Landsat TM multi-spectral images.

AB - A method is proposed which encodes different regions with different algorithms. This method is highly application oriented. The performance of this method has been validated on eight Landsat TM multi-spectral images.

UR - http://www.scopus.com/inward/record.url?scp=0033328202&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033328202&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0033328202

VL - 3870

SP - 505

EP - 514

BT - Proceedings of SPIE - The International Society for Optical Engineering

PB - Society of Photo-Optical Instrumentation Engineers

ER -