Visualization analysis platform based on land surface remote sensing radiation transfer characteristics

Song Wu; Qinhuo Liu; Huaguo Huang; Xiaozhou Xin; Min Chen

doi:10.1117/12.750707

15 November 2007 Visualization analysis platform based on land surface remote sensing radiation transfer characteristics

Song Wu, Qinhuo Liu, Huaguo Huang, Xiaozhou Xin, Min Chen

Author Affiliations +

Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 67882Q (2007) https://doi.org/10.1117/12.750707
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

We outline a platform for rendering the canopy reflected irradiance under the irradiation of different wavelengths. Our approach is to use different colors to symbol value of canopy reflected irradiance in different ranges. Meanwhile, we do some statistical analysis according to the results above. We illustrate our approach for simple 3-D trees scenes under the irradiation of 6 different wavelengths, respectively in visible light waveband and near infrared waveband. Our results are good. We get the vivid light shadow effect in the representation of 3-D trees scenes. We use 6 colors to represent 6 consecutive canopy reflected irradiance range and make some statistical analysis to get useful information from the results above.

Citation Download Citation

Song Wu, Qinhuo Liu, Huaguo Huang, Xiaozhou Xin, and Min Chen "Visualization analysis platform based on land surface remote sensing radiation transfer characteristics", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67882Q (15 November 2007); https://doi.org/10.1117/12.750707

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KEYWORDS

Statistical analysis

Remote sensing

Visualization

Vegetation

Near infrared

OpenGL

Reflectivity

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