Automatic Generation of Ortho-Photo Texture from Digital Elevation Model

We propose the automatic generation of the ortho-photo data which support realistic scenes for DEM by texture mapping. This ortho-photo data is automatically generated by pattern recognition techniques using Bayesian classifier which uses the features extracted from a DEM and its geo-referenced orth...

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Published in:	Journal of signal processing systems Vol. 89; no. 1; pp. 73 - 80
Main Authors:	Lee, Eun-Seok, Jeong, Young-Sik, Hassan, Houcine, Shin, Byeong-Seok, Park, Jong Hyuk
Format:	Journal Article
Language:	English
Published:	New York Springer US 01-10-2017 Springer Nature B.V
Subjects:	Aliasing Bayesian analysis Brightness Circuits and Systems Cloud computing Computer & video games Computer Imaging Curvature Digital computers Digital Elevation Models Electrical Engineering Elevation Engineering Feature extraction Image Processing and Computer Vision Pattern Recognition Pattern Recognition and Graphics Photography Saturation (color) Shading Signal,Image and Speech Processing Terrain Texture mapping Texture recognition Training Vision Automatic generation Pattern recognition Ortho-photo generation Terrain rendering
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Abstract	We propose the automatic generation of the ortho-photo data which support realistic scenes for DEM by texture mapping. This ortho-photo data is automatically generated by pattern recognition techniques using Bayesian classifier which uses the features extracted from a DEM and its geo-referenced ortho-photo data as training sets. We defined the various features of each texel such as its height, slope angle, slope direction, surface curvature, hue, saturation and brightness from the training datasets. The proposed method makes possible for mapping texture of a realistic ortho-photo data to virtual terrain data which are unable to take satellite photo or aerial photo. These case are often in of computer game and digital movie area. Also, generating ortho-photo with the enlarged DEM, it does not cause the aliasing from the difference of resolution. It makes very similar images with real photography by shading and efficiently handles ortho-photo data and elevation data occupied enormous storage in cloud computing environment.
AbstractList	We propose the automatic generation of the ortho-photo data which support realistic scenes for DEM by texture mapping. This ortho-photo data is automatically generated by pattern recognition techniques using Bayesian classifier which uses the features extracted from a DEM and its geo-referenced ortho-photo data as training sets. We defined the various features of each texel such as its height, slope angle, slope direction, surface curvature, hue, saturation and brightness from the training datasets. The proposed method makes possible for mapping texture of a realistic ortho-photo data to virtual terrain data which are unable to take satellite photo or aerial photo. These case are often in of computer game and digital movie area. Also, generating ortho-photo with the enlarged DEM, it does not cause the aliasing from the difference of resolution. It makes very similar images with real photography by shading and efficiently handles ortho-photo data and elevation data occupied enormous storage in cloud computing environment.
Author	Hassan, Houcine Lee, Eun-Seok Shin, Byeong-Seok Jeong, Young-Sik Park, Jong Hyuk
Author_xml	– sequence: 1 givenname: Eun-Seok surname: Lee fullname: Lee, Eun-Seok organization: Department of Computer Science and Information Engineering, Inha University – sequence: 2 givenname: Young-Sik surname: Jeong fullname: Jeong, Young-Sik organization: Department of Multimedia Engineering, Dongguk University – sequence: 3 givenname: Houcine surname: Hassan fullname: Hassan, Houcine organization: Department of Computer Engineering, Universitat Politecnica de Valencia – sequence: 4 givenname: Byeong-Seok surname: Shin fullname: Shin, Byeong-Seok organization: Department of Computer Science and Information Engineering, Inha University – sequence: 5 givenname: Jong Hyuk surname: Park fullname: Park, Jong Hyuk email: jhpark1@seoultech.ac.kr organization: Department of Computer Science and Engineering, Seoul National University of Science and Technology
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SubjectTerms	Aliasing Bayesian analysis Brightness Circuits and Systems Cloud computing Computer & video games Computer Imaging Curvature Digital computers Digital Elevation Models Electrical Engineering Elevation Engineering Feature extraction Image Processing and Computer Vision Pattern Recognition Pattern Recognition and Graphics Photography Saturation (color) Shading Signal,Image and Speech Processing Terrain Texture mapping Texture recognition Training Vision
Title	Automatic Generation of Ortho-Photo Texture from Digital Elevation Model
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