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Y. Sheng (2007)
Minimising algorithm‐induced artefacts in true ortho‐image generation: a direct method implemented in the vector domainThe Photogrammetric Record, 22
Dimitrios Skarlatos (1999)
Orthophotograph Production in Urban AreasThe Photogrammetric Record, 16
J.Y. Rau, N. Chen, L. Chen
Hidden compensation and shadow enhancement for true orthophoto generation
J.Y. Rau, N. Chen, L. Chen
True orthophoto generation of built‐up areas using multi‐view photos
J. Braun
Aspects on true orthophoto production
Guoqing Zhou, Weirong Chen, J. Kelmelis, Deyan Zhang (2005)
A comprehensive study on urban true orthorectificationIEEE Transactions on Geoscience and Remote Sensing, 43
F. Amhar, J. Jansa, C. Ries
The generation of true orthophoto using a 3D building model in conjunction with a conventional DTM
Cheng Zhong, Hui Li, Zonghuan Li, Deren Li (2010)
A Vector-Based Backward Projection Method for Robust Detection of Occlusions When Generating True Ortho PhotosGIScience & Remote Sensing, 47
Y. Sheng, P. Gong, G. Biging (2003)
True Orthoimage Production for Forested Areas from Large-Scale Aerial PhotographsPhotogrammetric Engineering and Remote Sensing, 69
K. Bang, A.F. Habib, K. Kim, S. Shin
Comprehensive analysis of alternative methodologies for true ortho‐photo generation from high resolution satellite and aerial imagery
A. Habib, Eui-myoung Kim, Changjae Kim (2007)
New Methodologies for True Orthophoto GenerationPhotogrammetric Engineering and Remote Sensing, 73
D. Skarlatos
Orthophoto production in urban areas
Purpose – Orthophoto suffers from the relief displacement effects magnified by high resolution imaging sensors especially when mapping urban areas. True orthophotos eliminating relief displacement with digital surface model (DSM) are presented to assure reliable interpretability and maintain the high quality of the available data. Previous efforts did not provide accurate and fast ways for generating true othorphoto. The purpose of this paper is to try to solve the problem by analyzing the complexity of algorithm processes and finding the optimum manner to allocate them. Design/methodology/approach – In this paper, an optimum segmentation number for radial sweep is presented to achieve minimum complexity. First, the scan area, number of azimuth lines and visibility judgment area of radial sweep and spiral sweep method have been discussed with rigorous geometric theory, and then algorithm complexities of both methods are estimated with mathematical computation theory. Finally, minimum complexity of the methods is obtained with extreme point theory of differential calculus. Findings – Experiments have demonstrated that the proposed method has the best efficiency, and is efficient to avoid “M‐potion” problem, and false occlusions and false visibilities caused by the rolling area, the incompatibility between the DSM and ground image resolution. Originality/value – The deduction and experiments indicate that the proposed method is a robust, accurate, fast, and effective approach to generate high quality, true orthophoto at a large‐scale.
Sensor Review – Emerald Publishing
Published: Sep 13, 2011
Keywords: Orthophoto; Image processing; Image sensors; Aerial photography; Urban areas; Algorithm complexity; Radial sweep; Optimum segmentation number
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