A Novel Processing Chain for Shadow Detection and Reconstruction in Vhr Images

Image may contain shadow, which can lead to serious problem for full exploitation of image. This paper proposes A Novel Processing Chain to solve this problem. The main aim of this chain process is not only detect shadow region form image but also remove shadow region and reconstruct shadow less image. In this chain process, initially we classified shadow vs. nonshadow region by using binary classification with the help of support vector machine (SVM). For proper edge detection of shadow and nonshadow region, we apply canny edge detection technique followed by image imposing. Finally shadow reconstruction, calculate mean and standard deviation for shadow and nonshadow region of image. Find out mean difference between shadow and nonshadow part of image and apply this difference to shadow part of image by normalization with help of standard deviation. KEYWORD: Shadow Detection, Shadow Removal, Image enhancement, Image restoration.