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Subsidence Measurement And Dsm Extraction Of Ifsar Data Using Anisotropic Diffusion And Wavelet Denoising Filters, Kenneth Sartor, Josef De Vaughn Allen, Emile Ganthier, Mark Rahmes, Gnana Bhaskar Tenali, Samuel Peter Kozaitis
Subsidence Measurement And Dsm Extraction Of Ifsar Data Using Anisotropic Diffusion And Wavelet Denoising Filters, Kenneth Sartor, Josef De Vaughn Allen, Emile Ganthier, Mark Rahmes, Gnana Bhaskar Tenali, Samuel Peter Kozaitis
Electrical Engineering and Computer Science Faculty Publications
The most commonly used smoothing algorithms for complex data processing are low pass filters. Unfortunately, an undesired side effect of the aforementioned techniques is the blurring of scene discontinuities in the interferogram. For Digital Surface Map (DSM) extraction and subsidence measurement, the smoothing of the scene discontinuities can cause inaccuracy in the final product. Our goal is to perform spatially non-uniform smoothing to overcome the aforementioned disadvantages. We achieve this by using an Anisotropic Non-Linear Diffuser (ANDI). Here, in this paper we will show the utility of ANDI filtering on simulated and actual Interferometric Synthetic Aperture Radar (IFSAR) data for …