Experimental characterization of spatial statistics in polarimetric multifrequency airborne SAR data
The spatial statistics of a SAR (Synthetic Aperture Radar) image is an important parameter for the classification of different targets, in two respects: it can be an additional discriminant and it can be used as the basis in speckle filtering techniques. This paper surveys some statistical image models presented in the literature, and then focuses on the experimental characterisation of the spatial statistics in SAR imagery. Experimental data acquired by the JPL AIRSAR multifrequency polarimetric SAR sensor within the MAESTRO-1 and MAC-Europe campaign, as well as the ESA ERS-1 data, are used in the study. MAESTRO-1 was a campaign flown in 1989 and jointly funded by ESA and the JRC Ispra. MAC was a multisensor airborne campaign organised by NASA in 1991. Texture is characterised in an intensity image by two parameters: the alpha parameter in the K distribution and the autocorrelation function. Methods are presented to estimate experimentally these parameters. The parameters are studied for different types of targets and as a function of other parameters, such as polarisation, frequency band, viewing direction, multilook processing, spatial resolution.
Bibliographic Reference: Paper presented: International Geoscience and R.S. Symposium (IGARSS), Tokyo (JP), August 18-21, 1993
Availability: Available from (1) as Paper EN 37777 ORA
Record Number: 199311190 / Last updated on: 1994-11-29
Original language: en
Available languages: en