Paper
29 December 2008 3D remote sensing images data organization and web publication
Author Affiliations +
Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72853L (2008) https://doi.org/10.1117/12.815176
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China
Abstract
This paper presents a method on how to organize 3D remote sensing images and how to publish these images quickly. We use two levels of grid-based spatial index to organize massive images. First, we divide a huge digital city image into many map sheets (big images). All of map sheets construct a matrix structure. We use row number and column number to encode every map sheet. Second, by using resample and bilinear interpolation method, we build pyramid for every map sheet to form multi-scale hierarchical structure. At the same time building pyramid, we adopt JPEG compression technology to produce JPEG image format files. The number of output image files equals to the number of pyramid layers. Third, divide every pyramid layer image into many small image tiles. The size of each tile image is 256*256 pixels. All of small tiles of each pyramid layer image also construct a matrix structure. We also use row number and column number to encode every small image tile. We create a file directory for each map sheet in order to store all of small image tiles. we neatly combine the spatial index structure with the file name of each tile, which make server be able to return tile to browser side very quickly without any query operation. With the proposed method, we can provide users with a fast and efficiently tool to publish their own spatial information without involving any programming work. The system performance is very good and the response time is almost identical for different size images.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hengjian Tong, Yun Zhang, and Zhenfeng Shao "3D remote sensing images data organization and web publication", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72853L (29 December 2008); https://doi.org/10.1117/12.815176
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image fusion

Three dimensional sensing

Remote sensing

3D image processing

Software development

Earth observing sensors

Image resolution

RELATED CONTENT


Back to Top