Analysis and Evaluation of Speckle Filters for Polarimetric Synthetic Aperture Radar (PolSAR) Data
نویسندگان
چکیده
Synthetic Aperture Radar (SAR) data are affected by speckle noise, because of coherent integration of back scattered signals from different targets. For one-dimensional SAR data the speckle noise is already a solved problem, due to its multiplicative nature. SAR polarimetry is an extension to multidimensional data by the use of polarization wave diversity. Any speckle filter has to suppress the speckle noise while preserving the polarimetric information and the spatial information. Speckle filtering of PolSAR images remains a challenging task due to the difficulty to reduce a scatterer-dependent noise. This paper proposes a set of speckle filters which are analysed and evaluated based on different parameters. The different parameters are Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Mean Structural Similarity Index Measure (MSSIM), Edge Preservation Index (EPI), Equivalent Number of Looks (ENL), Bias, Standard Deviation to Mean ratio (SD/M) and ratio image mean and standard deviation.
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