EDGE DETECTION ENHANCED TECHNIQUE OF SATELLITE IMAGES USING DESIGN DIGITAL FILTER | ||||
| Nuclear Sciences Scientific Journal | ||||
| Article 13, Volume 7, Issue 1, 2018, Page 205-213 PDF (1.16 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/nssj.2018.30740 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| RAAFAT M. MOHAMED; AHMED I. KAMEL | ||||
| Nuclear Materials Authority,Cairo, Egypt | ||||
| Abstract | ||||
| Most image’s interpreters are concerned with recognizing linear features in images. For geological purposes, faults, joints, features, dykes and geological contacts are the main linear features which must be interpreted. The linear features are formed by edges, where some edges are marked by pronounced differences in brightness and become ready recognized. This paper deals with satellite image edge detection techniques. Edge detection is the name for a set of mathematical methods which aim at identifying points in a satellite image at which the image brightness changes sharply or, more formally, has discontinuities. These points are typically organized into a set of curved line segments termed edges. Important features can be extracted from the edges of an image (e.g., corners, geological boundary, linesand curves). In this paper, a novel edge detection technique which computes edges of satellite image using two dimensional (2D) design digital filter is presented and applied on Gabal Gattar granitic batholith to enhance boundaries between granite and surrounded rocks in one hand, and between the granitic phases on another hand, as well as, enhance the shape of granitic masses, and faults, dykes, fractures cutting them. Here the proposed methodology is compared with other edge detectors. Filters (Sobel, Roberts, Prewitt, Canny and Log filters) as applied on G. Gattar granitic mass. This study reveals that the new proposed (Raafat filter) porttery the contacts and linear features more obvious than the other operators. | ||||
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