Fast evaluation for speckle feature in urban SAR images

Coherent speckle is an important feature in Synthetic Aperture Radar (SAR) image. Testing the property of speckle is effective for urban SAR image performance evaluation. Through correlation analysis for speckle measures, this paper proposes a measurement for speckle feature based on parametric hypothesis test. Firstly selects homogeneous areas in tested SAR image with manual mode and estimates the ENL of each area. In contrast with the speckle feature in sampled image from population, secondly utilizes the u-parametric hypothesis test to measure the quality of speckle. Finally obtains the result that accepts the null hypothesis or rejects it. Experiments of Japan Pi-SAR and East China Research Institute of Electronic Engineering (ECRIEE) SAR images in urban areas show the measurement could distinguish those tested images where speckle property is in accordance with the coherent imaging principle, which is one of the vital requirements for post processing technology of SAR imagery.

[1]  C. J. Stone,et al.  A Course in Probability and Statistics , 1995 .

[2]  S. Quegan,et al.  Understanding Synthetic Aperture Radar Images , 1998 .

[3]  Young K. Kwag,et al.  Parameter based SAR simulator for image quality evaluation , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[4]  L. Bouchemakh,et al.  A Comparative Study of Speckle Filtering In Polarimetric Radar SAR Images , 2008, 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications.

[5]  Hong Sun,et al.  Parameter assessment for SAR image quality evaluation system , 2007, 2007 1st Asian and Pacific Conference on Synthetic Aperture Radar.

[6]  Sun Hong Performance evaluation for coherent speckle filters of polarimetric SAR imagery , 2008 .

[7]  R. Linnehan,et al.  Evaluation and Tuning of a SAR Detector using Sparse-Array Spotlight Mode Simulations , 2006, Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006..

[8]  Ridha Touzi,et al.  A review of speckle filtering in the context of estimation theory , 2002, IEEE Trans. Geosci. Remote. Sens..

[9]  J.-P. Rudant,et al.  Performance assessment of multitemporal SAR images' visual interpretation , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[10]  J. A. Rod Blais,et al.  Effects and Performance of Speckle Noise Reduction Filters on Active Radar and Sar Images , 2006 .

[11]  Fawwaz T. Ulaby,et al.  SAR speckle reduction using wavelet denoising and Markov random field modeling , 2002, IEEE Trans. Geosci. Remote. Sens..

[12]  R. Blum,et al.  Image Quality Measures for Predicting Automatic Target Recognition Performance , 2008, 2008 IEEE Aerospace Conference.