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Proceedings Paper

Atmospheric correction with haze removal including a haze/clear transition region
Author(s): Rudolf Richter
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Paper Abstract

High spatial resolution satellite imagery like Landsat TM and SPOT HRV often contain large regions covered with haze. By applying suitable thresholds clear areas as well as haze and cloud regions can be separated and stored as binary images. Cloud areas are identified in the method presented here, but will not be included in the haze correction, since the ground information cannot be retrieved in optically thick regions. For each spectral band, the haze removal algorithm matches the histogram of the haze areas to the histogram of the clear part of the scene. Due to the binary nature of thresholding this algorithm often causes sharply defined edges at the borders of haze regions. Therefore, a haze boundary region is introduced to generate a smoother transition from haze to clear areas. Two transition methods with a leveled boundary are presented: with fixed weighting and with histogram-dependent weighting. Additionally, the image is atmospherically corrected to remove the remaining atmospheric influence and obtain ground reflectance data.

Paper Details

Date Published: 17 June 1996
PDF: 9 pages
Proc. SPIE 2758, Algorithms for Multispectral and Hyperspectral Imagery II, (17 June 1996); doi: 10.1117/12.243220
Show Author Affiliations
Rudolf Richter, DLR (Germany)

Published in SPIE Proceedings Vol. 2758:
Algorithms for Multispectral and Hyperspectral Imagery II
A. Evan Iverson, Editor(s)

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