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:: RECONSTRUCTION OF BUILDINGS FROM A SINGLE UAV IMAGE WANG Jizhou, Lin Zongjian, LI Chengming

Document type:: Multivolume work

Structure type:: Chapter

RECONSTRUCTION OF BUILDINGS FROM A SINGLE UAV IMAGE WANG Jizhou*, Lin Zongjian®, LI Chengming® ? Institute of GIS, Chinese Academy of Surveying and Mapping, No.16, Road Beitaiping, District Haidian, Beijing, P.R.China, 100039, E-mail: wang116(2163.net, cmli()casm.ac.cn ? Chinese Academy of Surveying and Mapping, No.16, Road Beitaiping, District Haidian, Beijing, P.R.China, 100039, E-mail: casm(d)casm.ac.cn KEY WORDS: Photogrammetry; Acquisition; Measurement; GIS; Modeling ABSTRACT: Today we are up against the puzzle that how to acquire the 3D information of city efficiently and quickly. Many researchers distributed all over the world put forward different methods towards their own applications, but there is still lack of a approach which can meet most demands from various users. In this paper, we design and implement a 3D reconstruction method of city buildings from single UAV(Unmanned Aerial Vehicle) image. As a new platform of Remote Sensing, UAV has many good characteristics such as low cost, simple manipulation, high resolution, flexibility and etc, so we choose it as the tool for city image acquisition. We can extract both geometry and texture information from UAV images. In a single UAV image, at first we get the inner elements (xo, vo) and f by checking up the camera, secondly we divide the parallel lines in buildings into three groups which parallel X, Y and Z coordinate axis respectively and compute the three joint points based on related photogrammetry theory, thirdly calculate the three angle elements 4, aandkto implement the image relative orientation, fourthly compute the scale between reality and image using the real coordinate information drawn from 2D GIS databases, then on the basis of all the above parameters we can measure the real height of buildings and reconstruct their 3D models. In the paper, we have also build some accurate models to test the feasibility and practicability of this method. 1. INTRODUCTION b. Extracting the layer information form the city map, and using assumed layer height and virtual texture to reconstruct buildings. Digital Earth and Digital City have become the research focuses The method is easy and needs no additional information. The in geographic information field. High-resolution remote sensing main shortcoming is too artificial and lack of facticity. images are the most important sources for the city 3D information acquisition, and there are increasing demands. The c. Overlapping the digital orthoimage on the digital elevation general remote sensing techniques by satellite and aircraft can model can easily found the three-dimensional scene of large get the geographic information of large area, but there are some area city. But this scene is superficial ,the user can do scanning limitations in detail information acquisition of city. The satellite and analyzing on a single object. is restricted by the running cycle, height, cloud and some other factors. And the aircraft is also affected by many things such as d. Digital photogrammetry. From the aerial remote sensing airspace limit and weather. So theses techniques can’t image, we can derive plenty of geometric, texture and topologic completely meet the require of subtle 3D information information by the means of digital photogrammetry, and it is acquisition in city. Unmanned Air Vehicle, and the acronym is one of the most important method to reconstruct the 3D models UAV, is a new platform of Remote Sensing. There is no man in of buildings. UAV, and it is navigated by the telecontrol device. UAV has many good characteristics such as low cost, simple e. Integration of multiple means. manipulation, high resolution, flexibility and etc. UAV can implement many tasks that traditional aircraft can’t finish. Lots — [n the paper, we put forward a building reconstruction method of practices prove that UAV is a ideal tool for high-resolution from a single UAV image. We use.the UAVRS-II to get the photos collection of city. high resolution image of city, then analyze every image and derive the height and texture of buildings with the aid of digital The city is the main inhabitation of people, which is mostly map in existence, at last reconstruct the corresponding 3D composed of buildings. And how to factually describe the models. building is the core task of Digital City. Researchers distributed all over the world put forward various means to reconstruct buildings as the following. 2. IMAGE ACQUISITION USING UAVRS-II a. Using the design drawing of building and the city map The UAVRS-II remote sensing system is developed by the together. This means is only fit for few buildings reconstruction, Chinese Academy of Surveying and Mapping which has because it needs drawing recognition and lots of data input integrated the RS and UAV technology. The system comprises work. And the building drawing is always very complex, it of RS device, RS platform and tele-controlling system. RS needs professional knowledge to understand. device is used to acquire the photo, such as the CCD camera which we used in the paper experiments. The platform is the 100 Inte cal rei int fly ou In ne: ani los ael ob as tyr sm im lin

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