A New Automatic Selection of Optimum Interferometric Image Pairs in time Series Sar Interferometry
Autor: | Yonghui Kang, Yonghong Zhang, Hongan Wu |
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Rok vydání: | 2018 |
Předmět: |
Synthetic aperture radar
010504 meteorology & atmospheric sciences Computer science business.industry Astrophysics::Instrumentation and Methods for Astrophysics 0211 other engineering and technologies 02 engineering and technology 01 natural sciences Interferometry Signal-to-noise ratio Coherence (signal processing) Computer vision Artificial intelligence Time series business 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
Zdroj: | IGARSS |
DOI: | 10.1109/igarss.2018.8517294 |
Popis: | Aiming at the problem of wrong selection and missed selection of interferometric image pairs by spatial-temporal small baseline combination method in time series SAR interferometry, this paper proposes an automatic method for selecting the optimum interferometric image pairs based on the coherence of interferograms. By quantitatively evaluating the coherence of point targets in a small feature region like urban area, this method can generate high-quality interferograms with high coherence from all possible interferometric combinations. |
Databáze: | OpenAIRE |
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