PolSAR Coherency Matrix Optimization Through Selective Unitary Rotations for Model-Based Decomposition Scheme

2019 ◽  
Vol 16 (4) ◽  
pp. 658-662 ◽  
Author(s):  
Himanshu Maurya ◽  
Rajib Kumar Panigrahi
Keyword(s):  
Decomposition Scheme ◽  
Matrix Optimization ◽  
Model Based

scholarly journals IMPROVED MODEL-BASED POLARIMETRIC DECOMPOSITION USING THE POlINSAR SIMILARITY PARAMETER

2016 ◽  
Vol XLI-B7 ◽  
pp. 847-850
Author(s):  
H. Latrache ◽  
M. Ouarzeddine ◽  
B. Souissi
Keyword(s):  
Urban Area ◽  
Similarity Parameter ◽  
Volume Scattering ◽  
New Approach ◽  
New Model ◽  
Decomposition Scheme ◽  
Volume Model ◽  
Model Based ◽  
Improved Model

In this paper, we present a new approach to solve the problem of volume scattering ambiguity in urban area, for that we propose a volume model based on the polarimetric interferometric similarity parameter (PISP) . The new model is more adaptive and fits better with both forest and oriented built-up areas. Thereby, a new model-based polarimetric decomposition scheme is developed. To test the performance of the proposed method ESAR PolInSAR L bande data of Oberpfaffenhofen, Germany is used. Comparison experiments show that the proposed method gives good results, since all the oriented built-up areas are well discriminated as double or odd bounce structures.

scholarly journals Integration of Fine Model-Based Decomposition and Guard Filter for Ship Detection in PolSAR Images

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4295
Author(s):  
Dongsheng Liu ◽  
Ling Han
Keyword(s):  
Figure Of Merit ◽  
Spatial Information ◽  
Synthetic Aperture ◽  
Widespread Application ◽  
Polarimetric Synthetic Aperture Radar ◽  
Ship Detection ◽  
Qualitative And Quantitative ◽  
Decomposition Scheme ◽  
Model Based ◽  
Maritime Surveillance

Ship detection with polarimetric synthetic aperture radar (PolSAR) has gained extensive attention due to its widespread application in maritime surveillance. Nevertheless, designing identifiable features to realize accurate ship detection is still challenging. For this purpose, a fine eight-component model-based decomposition scheme is first presented by incorporating four advanced physical scattering models, thus accurately describing the dominant and local structure scattering of ships. Through analyzing the exclusive scattering mechanisms of ships, a discriminative ship detection feature is then constructed from the derived contributions of eight kinds of scattering components. Combined with a spatial information-based guard filter, the efficacy of the feature is further amplified and thus a ship detector is proposed which fulfills the final ship detection. Several qualitative and quantitative experiments are conducted on real PolSAR data and the results demonstrate that the proposed method reaches the highest figure-of-merit (FoM) factor of 0.96, which outperforms the comparative methods in ship detection.

scholarly journals Seven-Component Model-Based Decomposition for PolSAR Data with Sophisticated Scattering Models

2019 ◽  
Vol 11 (23) ◽  
pp. 2802 ◽  
Author(s):  
Hui Fan ◽  
Sinong Quan ◽  
Dahai Dai ◽  
Xuesong Wang ◽  
Shunping Xiao
Keyword(s):  
Urban Areas ◽  
State Of The Art ◽  
Component Model ◽  
Cross Polarization ◽  
Polarimetric Synthetic Aperture Radar ◽  
Decomposition Scheme ◽  
Model Based ◽  
Component Decomposition ◽  
Oriented Dipole ◽  
Quarter Wave

Due to incomprehensive and inaccurate scattering modeling, the state-of-the-art polarimetric synthetic aperture radar (PolSAR) model-based target decompositions are incapable of effectively depicting the scattering mechanism of obliquely oriented urban areas. In this paper, a seven-component model-based decomposition scheme is proposed by constructing several sophisticated scattering models. First, an eigenvalue-based obliquely-oriented dihedral scattering model is presented to reasonably distribute the co-polarization and cross-polarization scattering powers in obliquely oriented urban areas, thus accurately characterizing the urban scattering. Second, the ±45° oriented dipole and ±45° quarter-wave reflector scattering models are incorporated for the purpose of accounting for the real and imaginary components of the T 13 element in the coherency matrix so as to fully utilize polarimetric information. Finally, according to their mathematical forms, several strategies for model parameter solutions are designed, and the seven-component decomposition is fulfilled. Experimental results conducted on different PolSAR data demonstrate that the proposed method considerably improves the PolSAR scattering interpretation in a more physical manner compared to other existing model-based decomposition, which can be applied for urban area detection, classification, and other urban planning applications.

scholarly journals IMPROVED MODEL-BASED POLARIMETRIC DECOMPOSITION USING THE POlINSAR SIMILARITY PARAMETER

2016 ◽  
Vol XLI-B7 ◽  
pp. 847-850
Author(s):  
H. Latrache ◽  
M. Ouarzeddine ◽  
B. Souissi
Keyword(s):  
Urban Area ◽  
Similarity Parameter ◽  
Volume Scattering ◽  
New Approach ◽  
New Model ◽  
Decomposition Scheme ◽  
Volume Model ◽  
Model Based ◽  
Improved Model

In this paper, we present a new approach to solve the problem of volume scattering ambiguity in urban area, for that we propose a volume model based on the polarimetric interferometric similarity parameter (PISP) . The new model is more adaptive and fits better with both forest and oriented built-up areas. Thereby, a new model-based polarimetric decomposition scheme is developed. To test the performance of the proposed method ESAR PolInSAR L bande data of Oberpfaffenhofen, Germany is used. Comparison experiments show that the proposed method gives good results, since all the oriented built-up areas are well discriminated as double or odd bounce structures.

An efficient parallel algorithm for ocean circulation numerical model based on irregular rectangle decomposition scheme

2016 ◽  
Vol 35 (5) ◽  
pp. 18-23
Author(s):  
Zhanpeng Zhuang ◽  
Yeli Yuan ◽  
Jie Zhang ◽  
Lei Han ◽  
Jungang Yang
Keyword(s):  
Numerical Model ◽  
Parallel Algorithm ◽  
Ocean Circulation ◽  
Decomposition Scheme ◽  
Model Based

Representation, abstraction, and simple-minded sophisticates

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan
Keyword(s):  
Decision Theory ◽  
Predictive Coding ◽  
Bayesian Decision Theory ◽  
Bayesian Decision ◽  
Model Based ◽  
Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

Quantitative Model-Based Image Analysis of NuMa Distribution Links Nuclear Organization with Cell Phenotype

2001 ◽  
Vol 7 (S2) ◽  
pp. 578-579
Author(s):  
David W. Knowles ◽  
Sophie A. Lelièvre ◽  
Carlos Ortiz de Solόrzano ◽  
Stephen J. Lockett ◽  
Mina J. Bissell ◽  
...  
Keyword(s):  
Image Analysis ◽  
Mammary Epithelial Cells ◽  
Nuclear Organization ◽  
Critical Role ◽  
Quantitative Model ◽  
Mammary Epithelial ◽  
Cell Phenotype ◽  
Proliferating Cells ◽  
Mitotic Apparatus ◽  
Model Based

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.

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