Results 71 to 80 of about 134 (95)
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IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
This paper evaluates the potential of Polarimetric SAR Tomography (PolTomSAR) for analyzing a semi-opaque Random Volume lying over a rough Ground (RVoG), and to assess different characterization methods aiming to retrieve the ground characteristics. This study is based on the use of controlled experiments, during which a miniaturized RvoG-like scene is
Abdo, Ray +3 more
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This paper evaluates the potential of Polarimetric SAR Tomography (PolTomSAR) for analyzing a semi-opaque Random Volume lying over a rough Ground (RVoG), and to assess different characterization methods aiming to retrieve the ground characteristics. This study is based on the use of controlled experiments, during which a miniaturized RvoG-like scene is
Abdo, Ray +3 more
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Estimating a preliminary terrain model from the X-band InSAR and the RVOG model
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015The random volume over ground model has been successfully used to estimate forest parameters with the interferometric synthetic aperture radar. Besides its typical employment with polarimetric data at lower frequency bands, it has also been used with single-polarimetric X-band data to estimate forest height.
Gustavo H. X. Shiroma +1 more
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Estimation Error of Topographic Phase Based on RVoG Model Using POLinSAR Data
PIERS Online, 2009Topographic phase is a key parameter in the Random Volume over Ground for- est model. Its estimation error in∞uences the estimation accuracy of other forest parameters. Therefore, the error analysis and error control in topographic is necessary to obtain the accurate forest parameters. This paper analyzes the main error sources in topographic phase and
Lu Bai, Wen Hong, Fang Cao
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Forest height estimation based on the RVoG inversion model and the PolInSAR decomposition technique
International Journal of Remote Sensing, 2019ABSTRACTMonitoring the earth’s biosphere is an essential task to understand the global dynamics of ecosystems, biodiversity, and management aspects.
Amir Aghabalaei +2 more
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Vegetation height fusion inversion algorithm based on RVoG model
Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023)Xiaoqi Lu
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2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Forest parameters can be estimated using the single baseline polarimetric synthetic aperture radar interferometry (PolInSAR) data using the Random Volume over ground (RVoG) model. For a long-term temporal baseline, temporal decorrelation was present in all the polarimetric channels for the entire range of the synthetic aperture radar (SAR) data due to ...
Zhen Li 0001, Ming Guo
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Forest parameters can be estimated using the single baseline polarimetric synthetic aperture radar interferometry (PolInSAR) data using the Random Volume over ground (RVoG) model. For a long-term temporal baseline, temporal decorrelation was present in all the polarimetric channels for the entire range of the synthetic aperture radar (SAR) data due to ...
Zhen Li 0001, Ming Guo
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Applicability of RVOG Model in Tree Height Inversion Using P-Band Polinsar Backscatter Data
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing SymposiumDingfeng Duan
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Forest Stand Height Estimation Using Inversion of RVoG Model Over Forest of North-Eastern India
2023Ankita Mungalpara +3 more
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From “RVOG” to VOR: A Coded Message from James Blish
Science Fiction Studies, 1984openaire +1 more source