Premium
A wavelet based methodology for scale‐space anisotropic analysis
Author(s) -
Kumar Praveen
Publication year - 1995
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/95gl02934
Subject(s) - morlet wavelet , wavelet , anisotropy , scale (ratio) , wavelet transform , fourier transform , space (punctuation) , field (mathematics) , geology , geophysics , statistical physics , discrete wavelet transform , computer science , physics , mathematics , optics , mathematical analysis , artificial intelligence , quantum mechanics , pure mathematics , operating system
It is well known that several geophysical fields exhibit characteristic features at different scales. For some such fields scale‐space anisotropy is also present, that is, features contributing significant fraction of energy are oriented in different directions at different scales. Examples of such fields include clouds, rainfall, hurricanes etc. A technique based on wavelet transforms (with two‐dimensional directionally oriented Morlet wavelet) is developed to analyze such random fields. This methodology has significant advantage over Fourier transform based techniques and is demonstrated using the analysis of a spatial rainfall field.