Title :
A Simple RVoG Test for PolInSAR Data
Author :
Ballester-Berman, J. David ; Vicente-Guijalba, Fernando ; Lopez-Sanchez, Juan M.
Author_Institution :
Syst. & Telecommun. Group, Univ. of Alicante, Alicante, Spain
Abstract :
In this paper, we present a simple algorithm for assessing the validity of the RVoG model for PolInSAR-based inversion techniques. This approach makes use of two important features characterizing a homogeneous random volume over a ground surface, i.e., the independence on polarization states of wave propagation through the volume and the structure of the polarimetric interferometric coherency matrix. These two features have led to two different methods proposed in the literature for retrieving the topographic phase within natural covers, i.e., the well-known line fitting procedure and the observation of the (1, 2) element of the polarimetric interferometric coherency matrix. We show that differences between outputs from both approaches can be interpreted in terms of the PolInSAR modeling based on the Freeman-Durden concept, and this leads to the definition of a RVoG/non-RVoG test. The algorithm is tested with both indoor and airborne data over agricultural and tropical forest areas.
Keywords :
agriculture; geophysical techniques; parameter estimation; radar interferometry; radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation; Freeman-Durden concept; PolInSAR data; PolInSAR modeling; PolInSAR-based inversion techniques; agricultural airborne data; agricultural indoor data; airborne data-based RVoG model validity assessment; ground surface random volume; homogeneous random volume; indoor data-based RVoG model validity assessment; line fitting procedure; nonRVoG test; polarimetric SAR interferometry; polarimetric interferometric coherency matrix element; polarimetric interferometric coherency matrix structure; polarimetric interferometric coherency matrix volume; polarization state independence; random volume over ground; simple RVoG test; simple validity assessment algorithm; synthetic aperture radar; topographic phase retrieval methods; tropical forest area airborne data; tropical forest area indoor data; wave propagation polarization states; Agriculture; Estimation; Monitoring; Scattering; Solid modeling; Surfaces; Vegetation mapping; Parameter inversion; PolInSAR; RVoG model; vegetation;
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
DOI :
10.1109/JSTARS.2014.2379438