Results 281 to 290 of about 6,889,850 (329)
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SAR target decomposition for stochastic natural targets for L- and C-band
IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293), 2003The authors propose a new fast algorithm for calculating target entropy and scattering mechanism (alpha angle) estimates for polarimetric SAR data. This new approach applies only for natural targets and it is validated with L- and C-band data. The algorithm is based on the fact that averaged covariance matrix for natural distributed targets presented ...
J. Praks +4 more
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Lossless and Sufficient $\Psi$ -Invariant Decomposition of Random Reciprocal Target
IEEE Transactions on Geoscience and Remote Sensing, 2012The target coherency or covariance matrices are the main operators useful for characterizing the polarization transformation properties of radar target by modeling the depolarization effect. In this paper, a novel decomposition of the target coherency matrix is proposed, that is sufficient for representing the physical characteristics of the observed ...
Paladini R +5 more
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The Journal of the Acoustical Society of America, 1999
The fish target strength estimation when using acoustic echoes from a single-beam echosounder is possible after solving ill-conditioned equations where probability density functions (PDFs) of echo level, target strength, and beam pattern are involved.
Marek Moszynski, Andrzej Stepnowski
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The fish target strength estimation when using acoustic echoes from a single-beam echosounder is possible after solving ill-conditioned equations where probability density functions (PDFs) of echo level, target strength, and beam pattern are involved.
Marek Moszynski, Andrzej Stepnowski
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Template matching tracking method based on target decomposition
2016 Chinese Control and Decision Conference (CCDC), 2016In order to improve the tracking performance of the target in complex circumstances, a novel template matching tracking method is proposed by decomposing the target into multiple sub-targets with the distinguishing features. The tracked target contains multiple areas which can be decomposed into multiple sub-targets.
Chunbo Xiu, Hongjie Li
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Technology decomposition and mapping targeting low power dissipation
Proceedings of the 30th international on Design automation conference - DAC '93, 1993In this paper, we address the problem of minimizing the average power dissipation during the technology dependent phase of logic synthesis. Our approach consists of two steps. In the first step, we generate a NAND decomposition of an optimized Boolean network such that the sum of average switching rates for all nodes in the network is minimum.
Chi-Ying Tsui +2 more
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A new formulation for POLSAR incoherent target decomposition
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016This paper proposes a new formulation for POLSAR incoherent target decomposition, which models the POLSAR image as a result of a two-stage process, i.e. assembly of coherent scatterers followed by spatial distribution of incoherent atom scatterers. This assembly-distribution forward model is described by a triple matrix multiplication while its inverse
Feng Xu, Qian Song
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Polarimetric SAR Target Decomposition based on sparse NMF
2016 Progress in Electromagnetic Research Symposium (PIERS), 2016Polarimetric Targets Decomposition is to decompose polarimetric data into several components by different physical scattering mechanism. Traditional decomposition methods are model-based, whose basis matrix is fixed to typical physical scatterers, such as surface, double bounce, volume.
null Qian Song, null Feng Xu
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A review of target decomposition theorems in radar polarimetry
IEEE Transactions on Geoscience and Remote Sensing, 1996S. Cloude, E. Pottier
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Dichotomy Decomposition-based Target Scattering Vector Parameters
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022Junjun Yin, Jian Yang
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Neural computing & applications (Print), 2019
Guobin Chen, Lukun Wang, M. Kamruzzaman
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Guobin Chen, Lukun Wang, M. Kamruzzaman
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