Haze removal for high-resolution satelite data: A case study

International Journal of Remote Sensing

Volumn 28, Issue 10, 2007, Pages 2187-2205

  Dal Moro, G ^a   Halounova, L ^b  

^a UNIVERSITY OF TRIESTE   (Italy)

^b CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

AIR QUALITY; COMPUTATIONAL METHODS; INTERPOLATION; MATHEMATICAL TRANSFORMATIONS; METEOROLOGICAL INSTRUMENTS; OPTIMIZATION; WEATHER SATELLITES;

DARK-OBJECT SUBTRACTION (DOS); HAZE OPTIMIZED TRANSFORM (HOT); HAZE REMOVAL PROCESS; HIGH-RESOLUTION SATELLITE DATA; NON-HOMOGENOUS HAZE COVER;

AIR POLLUTION CONTROL;

ESTIMATION METHOD; HAZE; IKONOS; IMAGE RESOLUTION; LAND COVER; REFLECTANCE; SATELLITE DATA; SOIL; TRANSFORM; VEGETATION INDEX;

EID: 34547114245     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160600928559     Document Type: Article

References (23)

1. Bannari, A. and Asalhi, H. (2004) Sensitivity analysis of spectral indices to ozone absorption using physical simulations in a forest environment: Comparative study between MODIS, SPOT VEGETATION and AVHRR. Proceedings of the XXth ISPRS Congress, Commission VII
2. Berk, L. S., Bernstein, G. P. and Robertson, D. C. (1989)
3. Berk, L. S., Bernstein, G. P., Anderson, P. K., Acharya, D. C., Robertson, J. H. C. and Adler-Golden, S. M. (1998) MODTRAN cloud and multiple scattering upgrades with application to AVIRIS. Remote Sensing of Environment, 65, pp. 367-375.
4. Chavez, P. S. Jr. (1988) An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment, 24, pp. 459-479.
5. Chavez, P. S. Jr. (1989) Radiometric calibration of Landsat Thematic Mapper multispectral images. Photogrammetric Engineering and Remote Sensing, 55, pp. 1285-1294.
6. Chavez, P. S. Jr. (1996) Image-based atmospheric corrections - revisited and revised. Photogrammetric Engineering and Remote Sensing, 62, pp. 1025-1036.
7. Dial, G., Bowen, H., Gerlach, F., Grodecki, J. and Oleszczuk, R. (2003) IKONOS satellite, imagery, and products. Remote Sensing of Environment, 88, pp. 23-36.
8. Du, Y., Guindon, B. and Cihlar, J. (2002) Haze Detection and removal in high resolution satellite image with wavelet analysis. IEEE Transactions on Geoscience and Remote Sensing, 40, pp. 210-217.
9. Gitelson, A. A., Kaufman, Y. J. and Merzlyak, M. N. (1996) Use of green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sensing of Environment, 58, pp. 289-298.
10. Goward, S. N., Davis, P. E., Fleming, D., Miller, L. and Townshend, J. R. G. (2003) Empirical comparison of Landsat 7 and IKONOS multispectral measurements for selected Earth Observation System (EOS) validation sites. Remote Sensing of Environment, 88, pp. 80-99.
11. Guindon, B. and Zhang, Y. (2002) Robust haze removal: An integral processing component in satellite-based land cover mapping. Proceedings, Geospatial Theory, Processing and Applications, ISPRS Commission IV Symposium
12. Hadjimitsis, D. G., Clayton, C. R. I. and Hope, V. S. (2004) An assessment of the effectiveness of atmospheric correction algorithms through the remote sensing of some reservoirs. International Journal of Remote Sensing, 25, pp. 3651-3674.
13. Huete, A. R. (1988) A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 25, pp. 295-309.
14. Jensen, J. R. (1996) Introductory Digital Image Processing: A Remote Sensing Perspective, Prentice-Hall Inc., New Jersey
15. Jensen, J. (2000) Remote Sensing of the Environment: An Earth Resources Perspective, Prentice-Hall, Upper Saddle River, NJ
16. Kaufman, Y. J. and Tanré, D. (1992) Atmospherically resistant vegetation index - ARVI for EOS/MODIS. IEEE Transactions on Geoscience and Remote Sensing, 30, pp. 261-270.
17. Leprieur, C., Verstraete, M. M., Pinty, B. and Chehbouni, A. (1994) NOAA/ AVHRR vegetation indices: Suitability for monitoring fractional vegetation cover of the terrestrial biosphere. Proceedings of Physical Measurements and Signatures in Remote Sensing, ISPRS, pp. 1103-1110.
18. Lodhi, M. A., Rundquist, D. C., Han, L. H. and Kuzila, M. S. (1997) The potential for remote sensing of loess soils suspended in surface waters. Journal of the American Water Resources Association, 33, pp. 111-118.
19. Qi, J., Chehbouni, A., Huete, A. R. and Kerr, Y. H. (1994) Modified soil adjusted vegetation index (MSAVI). Remote Sensing of Environment, 48, pp. 119-126.
20. Richter, R. (1996) A spatially adaptive fast atmospheric correction algorithm. International Journal of Remote Sensing, 17, pp. 1201-1214.
21. Richter, R. (1996) Atmospheric correction of satellite data with haze removal including a haze/clear transition region. Computer and Geosciences, 22, pp. 675-681.
22. Zhang, Y. and Guindon, B. (2003) Quantitative assessment of a haze suppression methodology for satellite Imagery: Effect on land cover classification performance. IEEE Transactions on Geoscience and Remote Sensing, 41, pp. 1082-1089.
23. Zhang, Y., Guindon, B. and Cihlar, J. (2002) An image transform to characterize and compensate for spatial variations in thin cloud contamination of Landsat images. Remote Sensing of Environment, 82, pp. 173-187.