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Photogrammetric Point Clouds Generation from High Resolution Satellite Imagery in Metropolitan Areas Funded by: The Research Grants Council of Hong Kong (ECS), 2012 Funding Amount: HK$738,087 Project Timeline: 01-01-2013 to 31-12-2015 ¡¡ |
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High resolution satellite image in downtown Hong Kong |
 3D Point Clouds in downtown Hong Kong |
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Project Overview | Research Team | Publications | Related Sites |
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High resolution satellite (HRS) imagery is an attractive option for surveying and mapping applications, the advantages being the capacity for high quality imaging, short revisit time, and lower cost. However, image matching difficulties have, in the past, caused this option not to be widely used in the derivation of 3D urban data especially in metropolitan areas. Automated reliable and dense image matching is essential for photogrammetric 3D data derivation, however, such matching, in urban areas, is extremely difficult, owing to the complexity of urban textures and the severe occlusion problems caused by the impact of tall buildings on the images. It is of note that most of the traditional digital photogrammetry systems require intensive human interaction to process urban area images. This proposal aims at using HRS imagery for automated 3D point cloud generation in metropolitan areas by solving key problems such as those mentioned above. The newly developed methods and technologies will enable a cheaper, more automated, image-based creation of 3D urban data from HRS imagery. These features will contribute significantly, to urban modelling and mapping applications. In addition, the up-to-date and easy availability of HRS imagery will enable the maintenance and updating of 3D urban models to 4D urban models, hence bringing in element of time change. This process, currently, has seldom been discussed, because of the limiting impact of high cost when using other technologies such as airborne laser scanning. The newly developed innovative image matching strategy can be applied to other aspects including terrestrial images and video sequences, hence facilitating automated image processing for a broad application area in photogrammetry and computer vision. This proposed research will also advance the use of high resolution satellite (HRS) imagery for various urban applications. |
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Principal Investigator:
Research Staff:
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Support Organization |
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Survey and Mapping Office, Lands Department, HKSAR |
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For further information, contact Dr. Bo Wu Department of Land Surveying & Geo-Informatics
