ABSTRACT
It is noticeable that remote sensing images are susceptible to the undesirable presence of the atmospheric interferences, such as clouds, hazes and shadows. These occurrences are largely present in equatorial and tropical warm-to-hot regions and changes the brightness values of pixels at different levels of saturation, which can corrupt the visual representation of the covered land surface. The presence of such elements affect, in many ways, the image processing in an environmental or urban monitoring, and also the segmentation and/or classification methods that are the mainly responsible for the image information extracting.
