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TitleHaze detection and removal in high resolution satellite image with wavelet analysis
DownloadDownloads (Preprint)
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorDu, Y; Guindon, B; Cihlar, J
SourceIEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers) vol. 40, issue 1, 2002 p. 210-217,
Alt SeriesEarth Sciences Sector, Contribution Series 20042924
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Mediapaper; on-line; digital
File formatpdf; html
Subjectsgeophysics; Science and Technology; remote sensing; satellite imagery; HAWAT; Methodology
Illustrationsflow diagrams; satellite images; tables; plots
Released2002 08 07
AbstractA procedure for haze detection and removal from high-resolution satellite image using wavelet analysis (HAWAT) has been developed. It involves the analysis of the low spatial frequency information content of a scene. The image contaminated by haze is decomposed into different spatial layers with wavelet transforms. Although haze is distributed in the lower frequency layer, this layer may also contain a component of land cover that is spatially and temporally relatively stable. A haze-free reference image of the same area is used to characterise land cover. The component of the characterised land cover is then subtracted wavelet analysis. The residual wavelet coefficients are used to construct a spatially varying mask for subsequent haze detection and removal. After smoothing, the mask is subtracted from the contaminated image to obtain a corrected image with haze-off characteristics. Both visual inspection and statistical accuracy assessment show that the haze calibration is valid and robust.

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