Obtaining 3D information from remote sensing images

Huiguo Luo; Yaoting Zhu; Guang-Xi Zhu; Faguang Wan

doi:10.1117/12.154998

3 September 1993 Obtaining 3D information from remote sensing images

Huiguo Luo, Yaoting Zhu, Guang-Xi Zhu, Faguang Wan

Author Affiliations +

Proceedings Volume 1955, Signal Processing, Sensor Fusion, and Target Recognition II; (1993) https://doi.org/10.1117/12.154998
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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.

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Huiguo Luo, Yaoting Zhu, Guang-Xi Zhu, and Faguang Wan "Obtaining 3D information from remote sensing images", Proc. SPIE 1955, Signal Processing, Sensor Fusion, and Target Recognition II, (3 September 1993); doi: 10.1117/12.154998; https://doi.org/10.1117/12.154998

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