A System of Shadow Detection and Shadow Removal for High Resolution Remote Sensing Images

Abstract: Shadow will occur by sunlight or any light sources. We cannot get clear and quality picture for obtain the shadow in the images. The objective of this paper is detect and removal of shadows play an important role in application of urban high resolution remote sensing images. Object oriented shadow detection and removal methods are used in this paper.� Shadow detection is used during the image segmentation. The suspected shadow are extracted by the statistical features. For shadow removal, support vector machine and adaboost classifier based on IOOPL matching could effectively remove the shadow. According to the homogeneous section shadow removal will be performed. Our method can accurately detect shadows from urban high-resolution remote sensing images and can effectively restore shadows with a rate of over 95%.

Keywords: Object oriented, IOOPL, shadow detection, homogeneous section, shadow removal