Entropy-Based Coherence Metric for Land Applications of GNSS-R
A novel metric for detecting coherence in global navigation satellite system reflectometry (GNSS-R) signals is presented and evaluated. It applies the Von Neumann information entropy metric for density matrices, a powerful indicator of the degree of mixing between states, coherent and incoherent, of...
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| Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2022, Vol.60, p.1-13 |
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| creator | Russo, Ilaria Mara Bisceglie, Maurizio di Galdi, Carmela Lavalle, Marco Zuffada, Cinzia |
| description | A novel metric for detecting coherence in global navigation satellite system reflectometry (GNSS-R) signals is presented and evaluated. It applies the Von Neumann information entropy metric for density matrices, a powerful indicator of the degree of mixing between states, coherent and incoherent, of the scene under investigation. The metric is applied to a set of raw IF data acquired by the cyclone global navigation satellite system (CYGNSS) observatories over Lake Okeechobee FL, in order to test the sensitivity of the entropy to different land cover types, including wetlands and open water. Visual comparison of results with Sentinel-1 images provides a first step in the validation of the effectiveness of entropy in detecting the presence of water covered by emergent vegetation. In addition, the entropy-based metric could be implemented on future space-based GNSS-R receivers to adapt the incoherent integration times to the observed scene, thus achieving an improvement in along-track resolution. |
| doi_str_mv | 10.1109/TGRS.2021.3125858 |
| format | Article |
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It applies the Von Neumann information entropy metric for density matrices, a powerful indicator of the degree of mixing between states, coherent and incoherent, of the scene under investigation. The metric is applied to a set of raw IF data acquired by the cyclone global navigation satellite system (CYGNSS) observatories over Lake Okeechobee FL, in order to test the sensitivity of the entropy to different land cover types, including wetlands and open water. Visual comparison of results with Sentinel-1 images provides a first step in the validation of the effectiveness of entropy in detecting the presence of water covered by emergent vegetation. 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| subjects | Bistatic scattering Coherence coherency cyclone global navigation satellite system (CYGNSS) Data acquisition eigenvalue decomposition Emergent aquatic plants Emergent vegetation Entropy Entropy (Information theory) Global navigation satellite system global navigation satellite system reflectometry (GNSS-R) Lakes Land cover Land surface Navigation Navigational satellites Observatories Rough surfaces Satellite observation Scattering Sea surface Sensitivity analysis Surface roughness Surface topography Wetlands |
| title | Entropy-Based Coherence Metric for Land Applications of GNSS-R |
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