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POLINSAR data processing with RAT
2005Polarimetric SAR Interferometry (PolInSAR) is an up–to–date research topic in SAR image data processing. This field undergoes extensive development and as of now no software is publicly available. This paper summarizes the first effortstaken to include PolInSAR data handling in the RAT (Radar Tools) framework.
Neumann, M. +4 more
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Improved retrieval algorithm of tree height by POLINSAR
SPIE Proceedings, 2008Tree height is an important biophysical parameter. It is a need for forest and biomass map for the estimation of carbon budget. Polarimetric SAR interferometry (PolInSAR) has been applied successfully to retrieve biophysical parameters from forest areas.
Yongsheng Li +3 more
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Coherence Optimization Using the Polarization State Conformation in PolInSAR
IEEE Geoscience and Remote Sensing Letters, 2005A new coherence optimization algorithm is proposed for polarimetric synthetic aperture radar (SAR) interferometry applications by using the polarization state conformation algorithm based on the polarimetric basis transformation along with the polarization signatures.
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Coherence dependency of the PALSAR POLinSAR on forest in japan and amazon
2007 IEEE International Geoscience and Remote Sensing Symposium, 2007PALSAR PolInSAR capability was evaluated. One of the important capabilities that the PolInSAR offers is to estimate the forest height. For one-year and more months after the launch of the ALOS on Jan. 24 2006, PLASAR observed several test areas using the polarimetry modes repeatedly.
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Anechoic Chamber Polinsar Measurements of Rice Canopy
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022Kun Li 0002 +9 more
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POLInSAR regularisation using dual frequency interferometry
2003 Proceedings of the International Conference on Radar (IEEE Cat. No.03EX695), 2004In this paper, we employ a two-level coherent polarimetric vegetation scattering model to investigate forest parameter estimation using fully polarimetric single baseline radar interferometry. It is shown that model inversion requires regularisation to remove multiple solutions.
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Forest height estimation by means of compact PolInSAR data
Remote Sensing Applications: Society and Environment, 2021Amir Aghabalaei +2 more
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