| Title | Haze detection and removal in high resolution satellite image with wavelet analysis |
| Download | Downloads (Preprint) |
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| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Du, Y; Guindon, B; Cihlar, J |
| Source | IEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers) vol. 40, issue 1, 2002 p. 210-217, https://doi.org/10.1109/36.981363 |
| Year | 2002 |
| Alt Series | Earth Sciences Sector, Contribution Series 20042924 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf; html |
| Subjects | geophysics; Science and Technology; remote sensing; satellite imagery; HAWAT; Methodology |
| Illustrations | flow diagrams; satellite images; tables; plots |
| Released | 2002 08 07 |
| Abstract | A 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. |
| GEOSCAN ID | 219726 |
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