Haze removal using haze index algorithm on SPOT 6/7 imagery.

Multispectral optical remote sensing images are often contaminated by haze and cirrus, especially for tropical regions such as Indonesia. This will affect the image quality and reduce the accuracy of the interpretation of the existing data. A number of methods for performing haze detection and haze removal have been developed by experts. However, haze detection and removal still remain one of the most important challenges for the correction of multispectral optical data. Haze detection and removal are also needed, especially in producing cloud-free mosaic images. A method to perform haze removal on SPOT 6/7 images using the haze index algorithm is presented in this paper. The haze removal method is developed based on the reflectance values of the blue and the red bands of SPOT 6/7 imagery. A new algorithm with new coefficient is proposed to remove the haze on SPOT 6/7 imagery. Haze removal is done by using haze index algorithm and haze threshold limit value. The experimental result demonstrate that the new coefficient used in the haze index algorithm give better result in performing haze removal on SPOT 6/7 imagery. [ABSTRACT FROM AUTHOR]