Abstract
In this paper, in order to study the increasingly hot SAR image change detection, several simple and effective filtering methods based on existing SAR images are combined, and the difference image is generated by the method of log difference map. Here we try to use LEE filtering, Frost filtering, and wavelet threshold denoising SAR images using hard threshold and soft threshold functions to suppress the speckle noise of the symlet4 wavelet basis function, and then use the log difference image. Next, we perform median filtering on the resulting difference image. Then in order to enhance the difference image effect, the threshold method was used to binarize the obtained difference image. The existing SAR image data was applied to compare the above three methods, and exploit three evaluation indicators to verify the effectiveness of our algorithm. We use log difference image combined with K-Means algorithm as our compared algorithm. It is concluded that the wavelet method has the fastest speed and the Lee filter combined with the log difference map algorithm is more robust.
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Yu, J. (2019). SAR Image Change Detection Using Several Filters Combined with Log Difference Image. In: Zhai, G., Zhou, J., An, P., Yang, X. (eds) Digital TV and Multimedia Communication. IFTC 2018. Communications in Computer and Information Science, vol 1009. Springer, Singapore. https://doi.org/10.1007/978-981-13-8138-6_9
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DOI: https://doi.org/10.1007/978-981-13-8138-6_9
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