TY - GEN
T1 - Estimation and analysis of lacunarity of scattering signals at different incident angles
AU - Li, Yang
AU - Bai, Xia
AU - Tao, Ran
PY - 2010
Y1 - 2010
N2 - The sea surface has the fractal nature. For normal incidence, some methods have been developed for extracting fractal parameters from the electromagnetic (EM) scattered signals. When the EM waves of different incident angles are scattered by the fractal sea surface, the scattered signal recorded at observation point will show many different properties, which will affect the accuracy of estimation of fractal parameters. In this paper, based on the method of skeleton of wavelet transform modulus maxima (WTMM), we analyze the hierarchical structures of the EM scattered signals at different incident angles to estimate the lacunarity of the fractal surface. It is shown that the optimal incident angle is between the sea surface and incident pulse passing through the mirror position of observation point and the midpoint of one-dimensional sea surface, approximately. The results of simulation are found interestingly successful to use the estimated parameters in remote sensing applications.
AB - The sea surface has the fractal nature. For normal incidence, some methods have been developed for extracting fractal parameters from the electromagnetic (EM) scattered signals. When the EM waves of different incident angles are scattered by the fractal sea surface, the scattered signal recorded at observation point will show many different properties, which will affect the accuracy of estimation of fractal parameters. In this paper, based on the method of skeleton of wavelet transform modulus maxima (WTMM), we analyze the hierarchical structures of the EM scattered signals at different incident angles to estimate the lacunarity of the fractal surface. It is shown that the optimal incident angle is between the sea surface and incident pulse passing through the mirror position of observation point and the midpoint of one-dimensional sea surface, approximately. The results of simulation are found interestingly successful to use the estimated parameters in remote sensing applications.
KW - Lacunarity
KW - Rough sea surface
KW - WTMM
KW - Wavelet analysis
UR - http://www.scopus.com/inward/record.url?scp=78651089746&partnerID=8YFLogxK
U2 - 10.1109/ICOSP.2010.5655746
DO - 10.1109/ICOSP.2010.5655746
M3 - Conference contribution
AN - SCOPUS:78651089746
SN - 9781424458981
T3 - International Conference on Signal Processing Proceedings, ICSP
SP - 2184
EP - 2187
BT - ICSP2010 - 2010 IEEE 10th International Conference on Signal Processing, Proceedings
T2 - 2010 IEEE 10th International Conference on Signal Processing, ICSP2010
Y2 - 24 October 2010 through 28 October 2010
ER -