Development of a robust haze removal algorithm: Assessment using temporally invariant targets

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 1, Issue , 2002, Pages 101-103

  Zhang, Ying ^a   Guindon, Bert ^a   Cihlar, Josef ^a  

^a Intermap Technologies   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ELECTROMAGNETIC DISPERSION; FORESTRY; IMAGE QUALITY; OPTIMIZATION; RADIOMETRY; REMOTE SENSING;

DEHAZING; HAZE OPTIMIZED TRANSFORMATION; HAZE REMOVAL ALGORITHMS; RADIOMETRIC DISPERSION; RADIOMETRIC INVARIANCE;

IMAGE PROCESSING;

EID: 0036028734     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. C. Song, C.E. Woodcock, K.C. Seto, M.P. Lenney and S.A. Macomber, 2001: Classification and change detection using Landsat TM data: When and how to correct atmospheric effects? Remote Sens. Environ. 75, pp230-244.
2. Y.J. Kaufman and C. Sendra, 1988: Algorithm for automatic atmospheric corrections to visible and near-IR satellite imagery. Int. J. Remote Sens. 9, pp 1357-1381.
3. S. Liang, H. Fallah-Adl, S. Kalluri, J. Jaja, Y.J. Kaufman and J.R.G. Townshend, 1997: An operational atmospheric correction algorithm for Landsat Thermatic Mapper imagery over the land. J. Geophys. Res. 102, pp17,173-17186.
4. Richter, R., (1996a), A spatially adaptive fast atmospheric correction algorithm. Int. J. Remote Sensing. 17, pp1201-1214.
5. Teillet, P.M. and Fedosejevs, G. 1995: On the dark target approach to atmospheric correction of remotely sensed data. Can. J. Remote Sens. 21, pp373-387.
6. Y. Zhang B. Guindon and J. Cihlar, (in press). An image transform to characterize and compensate for spatial variations in thin cloud contamination of Landsat images. Remote Sens. Environ.
7. B. Guindon and Y. Zhang, 2002. Robust Haze Reduction: An integral processing component in satellite-based land cover mapping. ISPRS 2002. Commission IV. Ottawa.