University of Twente Student Theses


Stochastic geometry for radar speckle characterization

Fufa, Meaza Abera (2012) Stochastic geometry for radar speckle characterization.

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Abstract:Speckle is a problem to Synthetic Aperture Radar image analysis. Spatial point pattern analysis is applied to characterize the spatial pattern of radar speckle. Forest, agriculture and urban land-use classes are selected from ERS-2 SAR image of Overijssel and Gelderland provinces of Netherlands to study the spatial pattern of speckle. Analyzing the spatial pattern of speckle helps to choose point process model which describes the process and also may help to develop filter for speckle reduction. The gamma probability distribution of intensity is applied to separate strong reflectors such as corner reflectors and metal objects from the data. The homogeneous F, G, J and K functions are used to study the spatial pattern of the speckle. A clustered pattern of speckle is observed in the three land-use classes by comparing the observed distance functions to the theoretical Poisson distribution. A strong clustered pattern of speckle is observed in the selected agricultural area in the analysis carried on both bright and dark speckle. The analysis procedure is also applied in ALOS PALSAR SAR image of Nairobi city. A clustered pattern of speckle is also observed in subset park area Nairobi city SAR image. Keywords Speckle; SAR; Nearest-neighbor distances; Ripley’s K-function; Spatial point pattern; Strong reflectors
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Programme:Geoinformation Science and Earth Observation MSc (75014)
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