earticle

영어

This paper focus on template matching approach for tracking object for remote sensing images. Such types of image are source of information which is largely used for information extraction. In this paper, two approaches SAD (sum of absolute differences) and SSD (sum of squared differences), template matching for finding the object. Template matching has provided basics and advance functionality for the image processing, object recognition, features based template matching and many more in a variety of remotely sensed Images. A variety of algorithms exist for comparison of images and making the template matching process fast and reliable. This comparative study with implementation approach focus on the core basics of the template matching in remote sensing images. The contribution of this paper is that, help to find the GCP (ground control point). These GCP can be generated in the form of template and these templates can run on the image and temporal image to find the correct location.