Polarimetric Radar Imaging: From Basics to Applications

By Jong-Sen Lee, Eric Pottier. 2009

2,392 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Astronomy and Astrophysics, Oceanography

View Paper: https://www.semanticscholar.org/paper/ce9c55ed58d056b9c0723d048ecd8564fb0c4a16

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Citations in the corpus

Advanced Microwave Imaging (2012, background): “Furthermore, it is possible to exploit the vectorial nature of electromagnetic waves and to carry out polarimetric measurements [6].”
Automatic Target Recognition in Synthetic Aperture Radar Imagery: A State-of-the-Art Review (2016, background): “Readers exclusively interested in multi-channel SAR processing are referred to pertinent references [23]–[29].”
The odd Nadarajah-Haghighi family of distributions: properties and applications (2019, methodology): “We use a database extracted from an image of Foulum (Denmark) obtained by the EMISAR sensor (Lee and Pottier, 2009) operated at Cand L-bands (though not simultaneously) with quad-polarizations.”
Odd-Burr generalized family of distributions with some applications (2017, methodology): “We consider a database extracted from an image of Foulum (Denmark) obtained by the EMISAR sensor,[24] jointly built by the ElectroMagnetics Institute (EMI), the Technical University of Denmark (TUD), and its Danish Centre for Remote Sensing (DCRS), operated at C- and L-bands (though not simultaneous”
Estimation of crop angle of inclination for lodged wheat using multi-sensor SAR data (2020, background): “The average σHVo and σVHo was almost the same since natural targets (e.g. agricultural fields) follow the assumption of reciprocity (Larranaga et al., 2012; Lee and Pottier, 2009). σVHo was thus not included in the subsequent analysis.”
A tutorial on synthetic aperture radar (2013, methodology): “SAR polarimetry is a widely used technique for the derivation of qualitative and quantitative physical information for land, snow and ice, ocean and urban applications based on the measurement and exploration of the polarimetric properties of man-made and natural scatterers [1], [15], [34], [35].”
Radar Remote Sensing of Agricultural Canopies: A Review (2017, neutral): “ond mechanism dominates the third [170].”
High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms (2020, methodology): “3) The filtered SAR images are applied to obtain a scattering matrix (S2) and then converted to a symmetrized 3 × 3 covariance matrix (C3) [287].”
Four-component scattering power decomposition with rotation of coherency matrix (2010, methodology): “The expression (8) is of the same form as the phase of the correlation coefficient in the circular polarization basis [3][6], which is also used for surface slope estimation [5].”
Deep-learning-based information mining from ocean remote-sensing imagery (2020, methodology): “Figure 6 shows the testing image with PauliRGB pseudo-color [87].”