DCT and DWT based image compression in remote sensing images

Ilker Hacihaliloglu, Mesut Kartal

Research output: Contribution to journalConference articlepeer-review

9 Scopus citations

Abstract

With the improvement of synthetic aperture radar technology, larger areas are being imaged and the resolution of the images has increased. Larger images have to be transmitted and stored. Due to the limited storage and downlink capacity on the airplane or satellite, the volume of the data must be reduced. This makes compression of SAR images with minimal loss of information important. This study aims to compare most of the well-known compression techniques namely discrete cosine transform and discrete wavelet transform. It investigates RADARSAT and SPOT images of different regions of different characteristics. The regions, which have been investigated, were sea areas, forest areas, built environment -residential and industrial areas which define different patterns of urban land use. The studies showed that compression ratios changed according to the pixel classification. The second purpose of this study is to compare the two compression algorithms. The DWT based algorithm gave the minimum Mean Square Error compared to the DCT based compression algorithm. The results changed according to the quantization process and the transform-coding algorithm.

Original languageEnglish (US)
Pages (from-to)3856-3858
Number of pages3
JournalIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
Volume4
DOIs
StatePublished - 2004
Externally publishedYes
EventIEEE Antennas and Propagation Society Symposium 2004 Digest held in Conjunction with: USNC/URSI National Radio Science Meeting - Monterey, CA, United States
Duration: Jun 20 2004Jun 25 2004

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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