Aerial Image Segmentation: A Survey

Abstract

Due to the advancement in recent times, aerial images have started gaining a widespread in every domain of science. The primary data for any region can be obtained through tables, maps, graphs, etc. but these are not sufficient enough to present a real time analysis. So, an aerial image fills in the missing element. The images obtained have to undergo a lot of processing steps to enhance their quality. One such processing is segmentation. The main goal of image segmentation is to cluster the pixels of the regions corresponding to individual surfaces, objects, or natural parts of objects and to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. In this paper, we have presented a study of various segmentation techniques applied on aerial images. The processes have been explained in detail followed by a comparative table.