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Proceedings Paper

Obtaining 3D information from remote sensing images
Author(s): Huiguo Luo; Yaoting Zhu; Guang-Xi Zhu; Faguang Wan
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Paper Abstract

Generally, 3D-information is obtained through the stereo-vision method, which needs two or more images of an object at different view positions. In this paper, we apply the fractal method to obtain 3D-information from remote sensing images of landscape, which needs only one image. Fractal is a useful method for describing very irregular cases. First, we prove that the remote sensing images of landscape satisfy fractal characteristics. Then, based on this conclusion, according to the relationship between Holder constant (alpha) and scaler T, we calculate the relative depth of each point, deeply, estimate the surface normal direction and area value.

Paper Details

Date Published: 3 September 1993
PDF: 4 pages
Proc. SPIE 1955, Signal Processing, Sensor Fusion, and Target Recognition II, (3 September 1993); doi: 10.1117/12.154998
Show Author Affiliations
Huiguo Luo, Huazhong Univ. of Science and Technology (United States)
Yaoting Zhu, Huazhong Univ. of Science and Technology (China)
Guang-Xi Zhu, Huazhong Univ. of Science and Technology (China)
Faguang Wan, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 1955:
Signal Processing, Sensor Fusion, and Target Recognition II
Ivan Kadar; Vibeke Libby, Editor(s)

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