Paper
14 November 2007 Setup and validation of a new multi-angle and multi-spectrum kernel-driven model
Sihan Liu, Qiang Liu, Qinhuo Liu, Li Fang, Ni Hu, Ding Li
Author Affiliations +
Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67902I (2007) https://doi.org/10.1117/12.750685
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
The linear kernel-driven model combines the advantage of empirical models and physical models. With the simple form which is convenience for inversion, it is widely used in bidirectional reflectance and land surface albedo research. At present, the kernels are expressed as function of incident and viewing geometry, not related to wavelength. With the support of spectrum database, we make use of the a priori knowledge of the soil and leaf spectrum to derive the new kernel function by rewriting the LiSparse kernel and the RossThick. After adding wavelength into kernels as driven variable, the weights of kernel or we call it kernel coefficients are independent from wavelength. The weight of kernels or describes the relationship between the pixel and sub pixel and can be used to built forward model to caculate short wave albedo. We retrieved kernel weights with the measured BRDF of winter wheat canopy. Results show that the weights of the kernels are solely related with the canopy structure, and the inversion results with multi-band data are much more stable than that with single band data when numbers of angular samples are limited.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sihan Liu, Qiang Liu, Qinhuo Liu, Li Fang, Ni Hu, and Ding Li "Setup and validation of a new multi-angle and multi-spectrum kernel-driven model", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67902I (14 November 2007); https://doi.org/10.1117/12.750685
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KEYWORDS
Bidirectional reflectance transmission function

Reflectivity

Scattering

Data modeling

Remote sensing

Standards development

Databases

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