Abstract
Abstract This research article proposes an efficacious and remarkable strategy for image processing. A Google satellite image ascertaining by manipulating image normalized cross-correlation, grayscale image, and image thresholding todetermine the percentage of a green portion (trees) within the total area has been developed in this paper. This exertion exploited 2D image normalized cross-correlation to scrutinize a Google satellite image to trace out the green spots in it. In this proposed work an image of the University of Asia Pacific, Green Road, Dhaka, Bangladesh from Google satellite has been exerted. In this maneuver, a template image has been coincided with its prototypical image. Subsequently, correlate the template image with the main image employing image normalized cross-correlation to recognize if the template image exists in the main image or not. As a result of correlation, it has been discerned that the template image exists amid the main image. Latterly convert the main image into a grayscale image to determine the total area. The consequential step is to exert image thresholding. Then the area under two extents is enumerated along with the percentage of a green portion (trees) within the total area has been detected. Due to defective pixel quality of satellite image, it’s arduous to study satellite image hence to overcome this hindrance as well as to trace out any definite spot and its area this endeavor is proposed in this paper. This algorithm is executed in MATLAB R2016.
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