SAR Speckle Noise Reduction Based on Wavelet NEIGHSHRINK Threshold
Ning Ka · Remote Sensing Information · 2014
Speckle noise is an intrinsic property of all these imaging systems including SAR system,which is based on coherence principle.The presence of speckle noise could seriously affect the visual effect,the quality of images and the subsequent application.Therefore,it is still a research issue to explore an algorithm which can suppress speckle noise effectively and can retain the original image edge,image structure,detail texture information as well.The paper begins with the statistical characteristics of speckle noise within the data of ALOS PALSAR and then experiments with SAR speckle noise suppression based on the wavelet NEIGHSHRINK threshold algorithm.Results show that this method has an advantage of keeping image definition,image structure and detail texture information in comparison with the test results of LEE,Enhanced-LEE and GAMMA-MA Pmethod.The value of Equivalent number of looks reached 1.823,and the normalized value is 0.943,much close to 1.It is significant to the application research of detail texture information.