Proceedings, XXth congress: Proceedings, XXth congress

Altan, M. Orhan

Bibliographic data

Multivolume work

Persistent identifier:: 1663674213

Title:: Proceedings, XXth congress

Sub title:: Istanbul, 12 - 23 July 2004

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 1663674213

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.; Auch bezeichnet als XXth International Congress for Photogrammetry and Remote Sensing

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Document type:: Multivolume work

Volume

Persistent identifier:: 166368779X

Title:: Proceedings, XXth congress

Scope:: IV, 226 Seiten

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 166368779X

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(35,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: EDGE DETECTION IN GEOLOGIC FORMATION EXTRACTION: CLOSE RANGE AND REMOTE SENSING CASE STUDIES U. G. Sefercik, O. E. Gülegen

Document type:: Multivolume work

Structure type:: Chapter

Inte 2 EDGE DETECTION IN GEOLOGIC FORMATION EXTRACTION: CLOSE RANGE AND d REMOTE SENSING CASE STUDIES the arc U.G.Sefercik ^ *, O.E.Gülegen * gr Ar * ZKU, Engineering Faculty, 67100 Zonguldak, Turkey — haritaci67@hkmo.net de PS YF De de (E KEY WORDS: Analog, Non-metric, Camera, Geology, Automation, Edge , Extraction In ed ABSTRACT: me op Edge detection is one of the most frequently used techniques in digital image processing. Its application area reaches from ou astronomy to medicine where isolation of objects focused on from the unwanted background is of great interest. Edge detection has im also found application for photogrammetric purposes. In this study, edge detection has first been practiced on stratigrafic structures, ev which are crucial to geologic time scaling, using digitized images from an analog non-metric camera. The raw images have been low pass filtered in order to suppress the huge amount of unnecessary details. Four types of methods have been used and intercompared In with each other. One of the problems encountered is long processing times due to gradient operations in both directions on the by images. Natural layering of structure has been exploited in order to reduce computing time. Edge detection followed then from Sii single direction. Taking over close grey values of linear edges with the non-required background leads to unclear detection of edges. str Another practice of this study is to extract the faults in the western part of the north Anatolian Fault Zone on a digitized image taken tec by TK350 camera. A comparison of extracted details with geological maps has been undertaken. Here, the biggest problem is that is the faults can be misidentified as geomorphological formations. Hydrological attributes such as streams, water lines, etc. exhibit Sc same characteristics as with the faults. The joint problem of both applications is the quantization of linear details via dilatation. dig Automation is the last step of the entire edge detection process and has been still a difficult task. alg co 1. INTRODUCTION are the sign of lack of continuity, and ending (B.S Penn et al. 1993). As a result of this transformation, edge image is obtained In our era, image processing and digital photogrammetry have without encountering any changes in physical qualities of the been developing rapidly. These disciplines are used in studies main image. Th with various objectives. In this research; firstly revealing Bl stratigraphic construction is aimed at by applying edge Objects consist of numerous parts of different color levels. In an mz detection used in image processing on a photograph which was image with different grey levels, despite an obvious change in tof taken analogously and transformed into a scanned digital the grey levels of the object, the shape of the image can be Fig image. In the second phase, by applying same techniques, distinguished (Figure 1). The reason for this is the sensitivity of discriminating the faults existing on the west extension of the the eye to regional contrast. Contrast alteration can be observed northern Anatolian Fault Zone is studied by using TK350 by edge detection techniques. Edges can exist in various shapes. satellite image that has 10m geometric resolution on the ground. These are step edge, ramp edge, line edge and roof edge. Another target of research is explaining whether the detection techniques are applicable to all sorts of problems with the The mathematic display of edge detection, an example for results obtained by these studies. In the sample applications difference operator with single dimension (1-D); defined, Edges being disclosed automatically in order to avoid any comment. That is automation is targeted. 1 ; Twi 2 0 Dy - (2) 0 e 2. METHODS P1 What's edge detection? Can be presented as "x" and *y" or horizontally and vertically. Edge detection is one of the subjects of basic importance in The methods, that are used to obtain the edge image of image processing. The parts on which immediate changes in introductory data of a digital image can be examined in 5 parts; grey tones occur in the images are called "edges". Benefiting Derivative methods, Local statistical method, Filtering methods, from the direct relation between physical qualities of the Stokastic Gradient methods and Morphologic methods. materials and their edges, these qualities can be recognized from edges. Because of these qualities, edge detection 2.1 Derivative Methods Á techniques gain importance in terms of image processing. Since these methods are highly sensitive to noise, edge Edge detection techniques transform images to edge images detection algorisms form faulty edges and they fail to the benefiting from the changes of grey tones in the images. Edges physical features of the object correctly. One of the most * Corresponding author. 126

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