Acta Optica Sinica, Volume. 39, Issue 5, 0528006(2019)
Persistent Scatterer Detection Method Based on Empirical Mode Decomposition
Fig. 1. EMD decomposition results of one-dimensional signal. (a) Original signal with noise; (b) imf1 component; (c) imf2 component; (d) imf3 component; (e) imf4 component; (f) residual trend component
Fig. 2. Schematics of multidirectional decomposition of image. (a) Horizontal direction; (b) left diagonal direction; (c) vertical direction; (d) right diagonal direction
Fig. 4. Phase comparison of differential interferograms before and after filtering. (a) Original interferogram with noise; (b) interferogram denoised by EMD; (c) interferogram denoised by improved EMD
Fig. 5. Phase of PSC points before and after filtering. (a) Before filtering; (b) after filtering
Fig. 9. Scattergrams of PS points detected by different methods. (a) Amplitude deviation index threshold method; (b) coherence coefficient threshold method; (c) phase deviation index threshold method; (d) EMD method
Fig. 10. Scattergrams of PS points detected by different methods. (a) Amplitude deviation index threshold method; (b) coherence coefficient threshold method; (c) phase deviation index threshold method; (d) EMD method; (e) proposed method
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Changjun Huang, Jiyuan Hu, Yafu Yang. Persistent Scatterer Detection Method Based on Empirical Mode Decomposition[J]. Acta Optica Sinica, 2019, 39(5): 0528006
Category: Remote Sensing and Sensors
Received: Nov. 1, 2018
Accepted: Feb. 19, 2019
Published Online: May. 10, 2019
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