Multiresolution analysis of remotely sensed imagery
作者:
J. G. JONES,
R. W. THOMAS,
P. G. EARWICKER,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1991)
卷期:
Volume 12,
issue 1
页码: 107-124
ISSN:0143-1161
年代: 1991
DOI:10.1080/01431169108929635
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A multiresolution method for analysing remotely sensed images is described, in which correlation filters, based on two-point differences, are applied over a range of scales with octave separation. When applied to typical Earth backgrounds viewed from space, the measured probability distributions of filter outputs exhibit strongly non-Gaussian statistics and satisfy scaling laws which allow a representation of the imagery in terms of fractal geometry. The method may be used as a basis for image, or image-region, characterization and, using the tails of the resulting normalised distributions, for the identification of those localized image features which are most unusual; that is, have lowest relative probability.
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