DocumentCode
298460
Title
A compound Weibull model for SAR texture analysis
Author
Bucciarelli, T. ; Lombardo, P. ; Oliver, C.J. ; Perrotta, M.
Author_Institution
INFOCOM Dept., Rome Univ., Italy
Volume
1
fYear
34881
fDate
10-14 Jul1995
Firstpage
181
Abstract
Introduces a new model for the statistic of the intensity of synthetic aperture radar (SAR) images. The model, named compound Weibull (CW) distribution, belongs to the well known class of the product models. According to this description the intensity, χ= τ·z, can be interpreted as the product of the variable z named ´speckle´, times the variable τ, referred to as ´texture´. The speckle, representing the effect of the coherent imaging, follows the chi-square distribution with 2L degrees of freedom for an L-look image and mean value 1. The texture, modulating the speckle variance, represents the observed scene and its probability density function (pdf) identifies the specific product model. Its mean value is the mean reflected power and its variance encodes the scene fluctuation. The most well-known product model is the K-distribution obtained with a gamma texture pdf
Keywords
Weibull distribution; geophysical signal processing; geophysical techniques; image texture; radar applications; radar imaging; radar theory; remote sensing by radar; synthetic aperture radar; K-distribution; SAR; chi-square distribution; compound Weibull model; geophysical measurement technique; image texture analysis; intensity; model; probability density function; product model; radar remote sensing; speckle; statistic; synthetic aperture radar; Analytical models; Clutter; Fluctuations; Histograms; Layout; Probability density function; Shape; Speckle; Statistical distributions; Synthetic aperture radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location
Firenze
Print_ISBN
0-7803-2567-2
Type
conf
DOI
10.1109/IGARSS.1995.519684
Filename
519684
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