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:: COMPARISON OF OBJECT ORIENTED IMAGE ANALYSIS AND MANUAL DIGITIZING FOR FEATURE EXTRACTION H. Sahin, H. Topan, S. Karakis, A. M. Marangoz

Document type:: Multivolume work

Structure type:: Chapter

COMPARISON OF OBJECT ORIENTED IMAGE ANALYSIS AND MANUAL DIGITIZING FOR FEATURE EXTRACTION H. Sahin* *, H. Topan *, S. Karakis ", A.M. Marangoz* * ZKU, Engineering Faculty, 67100 Zonguldak, Turkey - (sahin, htopan, karakis, marangoz)@jeodezi.karaelmas.edu.tr PS YF KEY WORDS: High Resolution, Mapping, Analysis, Digitisation, Extraction, Comparison, Orthoimage ABSTRACT: The developments in the remote sensing technology have provided the use of high-resolution images for different purposes if possible. These images can be used for a study such as town planning where high resolution and information content are required. In this study, high resolution panchromatic KVR-1000 image has been employed for extraction of man-made structures in a metropolitan city area. The test area is a part of Zonguldak (Turkey) city. First, boundaries of buildings and road’s center lines have been digitized manually. Additionally, the object oriented classification process has been implemented for the same area. In this manner, the results from manual digitizing and large-scale maps produced by photogrammetrical techniques have been compared and the success of manual digitizing has been verified. The large-scale maps have been taken as the base criteria in the comparison. The second analysis deals with tests using object oriented classification. Both methods include some disadvantages. Operator could experience some problems during manual digitizing process. The object oriented analysis is an alternative tool which uses grey values of objects in the process. Both methods have been analyzed for the orderly and disordered zones constituted by the buildings and the independent houses, respectively. 1. INTRODUCTION One of the main objectives of geoinformatics engineering is to collect data and analyze, represent the products of these data with diverse means. Today, the reliable production of information and its rapid serve to the user community is an important task. The reliability and rapidity aspects of information provision have accelerated the progress of technology. As a result of this stormy progress data acquisition from space has been an operational concern. Data acquired from space can be used in different disciplines such as geoinformatics, forestry, agriculture and etc. Extracting both geometric and semantic information from space images has been the main concern since the early phase of remote sensing. Qualitative analysis of images does not help the user to deduce required information. Abundance of information in both photographs and space images leads user to digitize only the interested objects. Digitized objects help user to extract information on only focused features. Map digitizing started with the invention of digitizing tablets. The graphical map to be digitized is laid on the digitizer table and coordinate values of discrete points are stored in a computer using a cursor. With the emergence of scanners on the market, graphical maps are scanned at equal intervals throughout the whole image and scanned data are stored in raster file format. The next step has consisted of vectorizing the raster image. Several methods are developed to vectorize raster images. One of those methods is called on-screen digitizing as a manual method, and the other one is called object oriented image analysis as an automatic method. The basic purpose of developing these methods aims at reducing operator’s interactivity with the computer and thus speeding up the digitizing process. * Corresponding author. 114 Today, space images can be used for data acquisition purposes. Many vendor companies provide a wide range of images for different users. One.of the high resolution space imagery is the Russian KVR-1000 system. KVR-1000 images are for example used to isolate illegal buildings in a forest environment in Greece (Karathanassi et al., 2003). Kostka (2002) uses KVR- 1000 imagery together with other high resolution images in order to make inferences about climatic studies, transportation routes, water resources, conservation areas, and relicts of human land-use. Another study uses KVR-1000 images to monitor refugee camps in south-east Asia (Bjorgo, 2000). All above studies deal primarily with semantic relating of spatial objects. Geometric accuracy potential of KVR-1000 images is not well researched. Therefore a geometric assessment should be made within the context of this study. For this goal objects in KVR-1000 images are digitized using manual and automatic methods. Both obtained results are compared to 1:1000 photogrammetrically produced digital line maps. 2. METHODS Digitizing is a way of conversion of information from analogously produced graphical maps to machine readable vector or raster formats. Many methods are used for the vectorizing process. Two of these methods are adopted in this study, These methods are manual on-screen digitizing and object oriented approach. In n wed FF CN ^ uai e—— 0 tm 07] M ih C md CO NN ln AN 0 Vv 08 8 (0 CH 8 —

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