Estimation and analysis of lacunarity of scattering signals at different incident angles

Yang Li, Xia Bai*, Ran Tao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationICSP2010 - 2010 IEEE 10th International Conference on Signal Processing, Proceedings
Pages2184-2187
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 IEEE 10th International Conference on Signal Processing, ICSP2010 - Beijing, China
Duration: 24 Oct 201028 Oct 2010

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP

Conference

Conference2010 IEEE 10th International Conference on Signal Processing, ICSP2010
Country/TerritoryChina
CityBeijing
Period24/10/1028/10/10

Keywords

  • Lacunarity
  • Rough sea surface
  • WTMM
  • Wavelet analysis

Fingerprint

Dive into the research topics of 'Estimation and analysis of lacunarity of scattering signals at different incident angles'. Together they form a unique fingerprint.

Cite this