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Biomass retrieval based on polarimetric target decomposition
2011 IEEE International Geoscience and Remote Sensing Symposium, 2011Former NASA's Deformation, Ecosystem Structure, and Dynamics of Ice (DESDynI) satellite mission was to provide regional or global biomass carbon stock at regional, national, and global scales. Carbon Monitoring System UAVSAR and LVIS data acquired in August 2009 were used in this paper.
Zhiyu Zhang +5 more
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Scattering power decomposition-based analysis for target identification
World Journal of Advanced Engineering Technology and Sciences, 2022Reflection and non reflection symmetry conditions can be fitted in the scattering models to optimize the coherence power estimation. The SAR formed from received wave is in the form of images which captures the physical feature of the target under consideration.
null Plasin Francis Dias +1 more
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Comments on Target Decomposition Theorems
1992Some recent publications (3) have prompted the following analysis on the subject of radar target decompositions. There still seems to be considerable misunderstanding and confusion which are related to the physical significance of individual target parameters, the question of uniqueness, and the physical relevance of certain mathematical procedures ...
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GPR Monitoring on an Organic Target Decomposition
Proceedings, 2013In this work the authors present GPR results of the monitoring of an organic target decomposition. The experiment consists in use a buried pig (Sus scrofa) as an organic target, which simulates a human body. The pig was buried at the University of Sao Paulo campus located in Pirassununga city (Sao Paulo State) in December, 2012 and has been surveyed ...
E. R. Almeida, J.L. Porsani
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IEEE transactions on intelligent transportation systems (Print)
As the safety problems and economic losses caused by traffic accidents are becoming more and more serious, intelligent transportation system (ITS) came into being.
Yuehao Guo +3 more
semanticscholar +1 more source
As the safety problems and economic losses caused by traffic accidents are becoming more and more serious, intelligent transportation system (ITS) came into being.
Yuehao Guo +3 more
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Target Scattering Decomposition in Terms of Roll-Invariant Target Parameters
IEEE Transactions on Geoscience and Remote Sensing, 2007The Kennaugh-Huynen scattering matrix con-diagonalization is projected into the Pauli basis to derive a new scattering vector model for the representation of coherent target scattering. This model permits a polarization basis invariant representation of coherent target scattering in terms of five independent target parameters, the magnitude and phase ...
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Bistatic polarimetric decompositions applied to depolarizing targets
2012 IEEE International Geoscience and Remote Sensing Symposium, 2012This paper deals with the behavior of the depolarization of natural environments in bistatic settings. In bistatic radar imaging, we seek simulation tools capable of predicting this depolarization for any geometric configuration. As we lack actual real data to validate such tools, we propose an alternative measurement method, at the optical scale, on ...
E. Colin Koeniguer +3 more
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Environment, Development and Sustainability, 2023
Li Lai, Xiaofeng Zhao, Y. Li
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Li Lai, Xiaofeng Zhao, Y. Li
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Algorithm of target classification based on target decomposition and support vector machine
2007 1st Asian and Pacific Conference on Synthetic Aperture Radar, 2007Since Huynen's original work, there have been many other proposed target decomposition theorems. In this paper, we provide a review of the different approaches used for target decomposition theory in radar polarimetry and classify three main types of theorems: those based on Mueller matrix, those using an eigenvector analysis of the coherency matrix ...
null Wang Yang +2 more
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Targeted End-to-End Knowledge Graph Decomposition
2018Knowledge graphs are networks with annotated nodes and edges, representing different relations between the network nodes. Learning from such graphs is becoming increasingly important as numerous real-life systems can be represented as knowledge graphs, where properties of selected types of nodes or edges are learned.
Blaž Škrlj, Jan Kralj, Nada Lavrač
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