| Technology and Methodology |
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Research on an Improved Integrated Filtering Algorithm of SAR Interferogram |
| SONG Rui1, LIU Guang2, PERSKI Zbigniew3, GUO Hua-dong2 |
1. School of Instrumentation Science and Opto-electronics Engineering, Beijing University of Aeronautics & Astronautics, Beijing 100191, China;
2. Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;
3. Polish Geological Institute-National Research Institute, Carpathian Branch 31560, Poland |
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Abstract The interferogram with SAR phase information is the key factor that directly affects the further analysis of the deformation in the experimental area. Effective filter algorithm can suppress phase noise in the interferogram and improve the precision of the interferometry. In the obtained phase images, the characteristics of nearly annular stripe show the surface subsidence caused by coal mining. The authors therefore improve the original gradient-based filter algorithm firstly, and then combine Goldstein filter with the improved gradient-based adaptive filter, making it perform more effectively in SAR interference phase mode from mining subsidence. In the experiment the authors selected the PALSAR interferogram data of the Fengfeng coal mine in Hebei Province to evaluate the detailed performance of such filtering methods. Experimental results show that the edge of deformation stripe in phase image is clearer, suggesting the validity of the integrated filtering algorithm which is characterized by good denoising effect and nice preservation of phase resolution.
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| Keywords
Vegetation coverage
Normalized difference vegetation index (NDVI)
Dynamic change
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Issue Date: 07 March 2012
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2012,
Vol. 24
