
Proceedings Paper
Research on representing remote sensing images based on QTMFormat | Member Price | Non-Member Price |
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Paper Abstract
Representing RS (remote sensing) images under multi-resolution is a key component of "Digital Earth", and becomes
one of the fundamental problems in Geography and Spatial Information Science. QTM (Quaternary Triangular Mesh)
with excellent features of global continuity, stability, hierarchy, and uniformity has the potential ability to represent the
global model. In this paper, we present a method of displaying the RS images. This method is primarily divided into two
steps. First, the calculated geographical coordinate of each pixel in a dataset is transformed into a QTM code at a proper
subdivision level, and the pixel value is also mapped into a triangular cell which is correlative to the pixel. Second, all
the triangular cells are displayed by the use of OpenGL. The transformation from geographical coordinates to QTM
codes are also examined at different subdivision levels. In the end, the experiment is performed with FengYun(FY-3)
Satellite Data(HDF5 format) and aerial remote images (Tif format) of Shanghai in China. The results illustrate that this
method is acceptable.
Paper Details
Date Published: 3 November 2010
PDF: 9 pages
Proc. SPIE 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications, 784105 (3 November 2010); doi: 10.1117/12.873152
Published in SPIE Proceedings Vol. 7841:
Sixth International Symposium on Digital Earth: Data Processing and Applications
Huadong Guo; Changlin Wang, Editor(s)
PDF: 9 pages
Proc. SPIE 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications, 784105 (3 November 2010); doi: 10.1117/12.873152
Show Author Affiliations
Zhenhua Lv, East China Normal Univ. (China)
Jianping Wu, East China Normal Univ. (China)
Jianping Wu, East China Normal Univ. (China)
Shengmao Zhang, East China Sea Fisheries Research Institute (China)
Hui Zhao, East China Normal Univ. (China)
Hui Zhao, East China Normal Univ. (China)
Published in SPIE Proceedings Vol. 7841:
Sixth International Symposium on Digital Earth: Data Processing and Applications
Huadong Guo; Changlin Wang, Editor(s)
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