Multiple SAR data integration using wavelet transform

J. S. Won, W. M. Moon, H. R. Yoo

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

4 Citations (Scopus)


This paper investigates techniques of SAR image integration to reduce SAR look direction bias for geological application. Two approaches to SAR data integration; 1) the principal component analysis (PCA), and 2) the wavelet transform integration technique are investigated and tested. The test data include the CCRS's airborne C-band SAR data (HH-polarization) and the ERS-1 SAR data (VV-polarization) over the Sudbury basin, Ontario Canada. The PCA technique is very effective for integration of multiple sets of SAR image data. When only two data sets are available and correlation between them is very low, at least one more auxiliary data set is required. Integration technique using the wavelet transform as being proposed in this paper utilizes the property of the wavelet transform that can decompose an image into approximated image (low-frequencies) characterizing the spatially large and relatively distinct structures, and detailed image (high-frequencies) in which the information on small detailed structures are preserved. Test results show that enhancement of lineaments is comparable to the PCA approach. Fine detailed structures in the integrated image obtained using the wavelet transform are well retained compared to the PCA image.

Original languageEnglish
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
EditorsSadao Fujimura
PublisherPubl by IEEE
Number of pages5
ISBN (Print)0780312406
Publication statusPublished - 1993
EventProceedings of the 13th Annual International Geoscience and Remote Sensing Symposium - Tokyo, Jpn
Duration: 1993 Aug 181993 Aug 21

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)


OtherProceedings of the 13th Annual International Geoscience and Remote Sensing Symposium
CityTokyo, Jpn

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)


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