Abstract
Interferometric phase filtering (IPF) is an important process of Interferometric Synthetic Aperture Radar (InSAR). The objective of IPF is to reduce the phase noise while preserving the details of the signal phase information, which affects the final quality of Digital Elevation Model (DEM) products directly. It is significant to evaluate the interferometric phase filtering algorithm. The filtering algorithm evaluation could be divided into subjective evaluation and objective evaluation. They all have advantages and limitations. However the present filtering evaluation methods are rarely able to keep the noise suppression performance and the detail preserving performance being truly quantitative and distinguished. Therefore the paper defines two new indexes: Noise Suppression Performance (NSP) and Detail Loss Performance (DLP), and realizes quantification of these indexes. Then the performance of these quantitative indexes and the filtered results of different phase filtering methods are shown and compared at the end of the paper through experiments carried on real datas.
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Yang, B., Wang, Y., Huang, H., Dong, Z. (2019). Research on Performance Evaluation Method for Interferometric Phase Filtering. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_173
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DOI: https://doi.org/10.1007/978-981-10-6571-2_173
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