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

:hers oach city good nage t the ‘hich irdly ality 2 can ) test using dings. . The ation large ning nsing logic | it is odels ethod et the : and ligital v 3D y the | has prises L RS 1mera is the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 carrier of RS device which is made mainly of glass fibre reinforced plastic, and it has a lighter weight but a higher intension. The tele-controlling system is used to control the flying state and all devices working normally. Fig.1 shows the outline of UAVRS-II. Fig.] UAVRS-II RS System In traditional aerial photograph, because the photo is taken nearly vertically to the earth surface, we can only get the height and top texture information of the main part of building, and lose plenty side face information. That can't meet the demand of acquiring subtle city information. Unlike the traditional aerial photograph, we should photograph the object building obliquely (Fig.2) when we want to get the information as much as possible. From the oblique photo, we can derive various types of information including the height of every main part and small part, the top texture and the side texture. Fig.2 Oblique Photograph UAVRS-II can do remote sensing in the height range from 50 to 4,000 meters. Although we can acquire the high resolution image with the vehicle flying in a low height, there may be a danger of bumping tall buildings and the photo could only cover a small region. And if the vehicle is flying very high, the resolution of photo will be low grade. From lots of tests, we get the UAV images on various shooting conditions, and at last we draw the conclusion that 45? and 300 meters are the ideal shooting angle and height (Fig.3). Although UAVRS-II has many good characteristics such as low cost, high resolution, flexibility and etc, it also has some disadvantages. Because it has a very light weight, UAVRS-II is much more influenced by outside environment such as the wind and it is difficult to control the vehicle photographing on a same pose. Therefore we have relatively much trouble in putting the images together. In the paper, we put forward a new method to do surveying on a single image, so we successfully avoid the limitation of UAVRS-II. 101 "Oe 00€ Ground Building Fig.3 The Ideal Photographing Pose 3. SURVEYING ON A SINGLE IMAGE In traditional photogrammetry, we usually use an image pair to reconstruct the 3D model of spatial object. But to some objects which have regular shapes such as building, because there are certain geometric relations among the out lines, for example as showed in Fig.4, Top line is parallel to Ground line and vertical to Side line, we can reconstruct the 3D model of building using these geometric attributes. Many scholars distributed all over the world have done researches on such subject (T.E. Chen, Chen Zen, Frank A.van den Heuvel, Zuxun Zhang, et al). In the paper, we design and implement an single image surveying method, by which we can get both the height and texture of buildings. The whole process could be divided into four steps. In a single UAV image, at first we get the inner elements (x; yy) 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, thirdly calculate the three angle elements A,aandkto implement the image relative orientation, fourthly compute the scale between reality and image using the real coordinate information abstracted from 2D GIS databases, then on the basis of all the above parameters we can get the real height and the ortho-texture of buildings. a. Checking the camera The purpose of camera checking is to get the inner elements including (x; yo) and / and the lens aberration parameter K,. In the tests we used Nikon D100 digital camera, and the checking results is showed in the following formula. #, 1209 T «3261233 K, 2 -129e - 008 The result unit is pixel, and by multiplying 7.8um which is the width of a pixel we can transform it to millimeter. The following is the model to rectify lens aberration.

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