Title :
Analysis of the fractal characteristic of the hyperspectral curves of the rice under plumbum pollution stress
Author :
Ling Wu ; Xiangnan Liu ; Meiling Liu
Author_Institution :
Sch. of Tnformation Eng., China Univ. of Geosci., Beijing, China
Abstract :
Based on previous spectral parameters to describe the "large scale change" of the spectral curve proposed by remote sensing scholars, the objective of this paper was to propose the method of describing subtle change in hyperspectral curve for rice under plumbum (Pb) pollution stress by using fractal dimension (D), which was calculated by wavelet transform. For pollution-free rice and rice under Pb pollution respectively, the D of hyperspectral curves (450 nm~700 nm) and second derivative curves were calculated at the tillering stage and the heading stage. Results showed that the D of two curves of the rice under Pb pollution all decreased, compared with those of the pollution-free rice. Meanwhile, it comes to conclusion that it is the best stage to monitor the rice under Pb pollution at the tillering stage. Finally, Least Squares Regression is applied to establish the relationship between the D of second derivative curves and chlorophyll concentration of the rice under Pb pollution at the tillering stage, with high prediction accuracy.
Keywords :
agricultural pollution; crops; fractals; geophysical image processing; hyperspectral imaging; least squares approximations; regression analysis; remote sensing; soil pollution; wavelet transforms; Pb pollution; chlorophyll concentration; fractal characteristic; fractal dimension; heading stage; hyperspectral curve; large scale change; least squares regression; plumbum pollution stress; pollution-free rice; prediction accuracy; remote sensing scholar; second derivative curve; spectral parameter; tillering stage; wavelet transform; Pollution; Pollution measurement; fractal dimension; rice under Pb pollution; singularity; subtle change in spectral curve; wavelet transform;
Conference_Titel :
Computer Vision in Remote Sensing (CVRS), 2012 International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4673-1272-1
DOI :
10.1109/CVRS.2012.6421278