Three-component Model-based Decomposition Integrating De-orientation and Generalized Volume Scattering Model

2013 ◽  
Vol 34 (10) ◽  
pp. 2451-2457 ◽  
Author(s):  
Xiu-guo Liu ◽  
Xiao-dong Huang ◽  
Qi-hao Chen ◽  
Qi Chen
2018 ◽  
Vol 15 (8) ◽  
pp. 1229-1233 ◽  
Author(s):  
Qinghua Xie ◽  
Jianjun Zhu ◽  
Juan M. Lopez-Sanchez ◽  
Changcheng Wang ◽  
Haiqiang Fu

2019 ◽  
Vol 16 (11) ◽  
pp. 1791-1795 ◽  
Author(s):  
Debanshu Ratha ◽  
Dipankar Mandal ◽  
Vineet Kumar ◽  
Heather Mcnairn ◽  
Avik Bhattacharya ◽  
...  

2020 ◽  
Author(s):  
Wentao An ◽  
Mingsen Lin

<p>For a multi-look polarimetric synthetic aperture radar (POLSAR) image, each pixel corresponds to a polarimetric coherency matrix. Model-based incoherent polarimetric decomposition is a technique which is widely used to analyze multi-look POLSAR data. Traditional model-based incoherent polarimetric decomposition algorithms have some inherent drawbacks such as negative power components, polarimetric information loss, and non-model-based decomposition results. This study tries to completely interpret a polarimetric coherency matrix by the incoherent sum of four scattering mechanisms. Therefore, the proposed algorithm can be regarded as a new type of model-based incoherent polarimetric decomposition. All the four scattering models are firstly derived with polarimetric symmetry. The four scattering models correspond to surface scattering, double-bounce scattering, volume scattering and helix scattering, respectively. Then a new four-component model-based incoherent decomposition algorithm is found. After extracting the helix scattering component and the maximum possible volume scattering component, the remaining coherency matrix is decomposed into two components with an orientation angle difference of 45°. With the new algorithm, most pixels of a real POLSAR image can be completely decomposed into four components which are exactly consistent with helix scattering, volume scattering, surface scattering, and double-bounce scattering, respectively. Moreover, the proposed decomposition algorithm fully utilizes the polarimetric information, and all scattering component powers are nonnegative. Experiments with E-SAR, RADARSAT-2, and GF-3 data are presented to illustrate the effectiveness of analyzing the scattering mechanisms of real terrain targets with the proposed decomposition algorithm. The proposed decomposition algorithm is also compared with classic four-component model-based incoherent polarimetric decomposition algorithms.</p>


1998 ◽  
Vol 38 (4-5) ◽  
pp. 9-17 ◽  
Author(s):  
F. Germirli Babuna ◽  
D. Orhon ◽  
E. Ubay Çokgör ◽  
G. Insel ◽  
B. Yaprakli

A comprehensive evaluation of four different textile wastewaters was carried out to set the experimental basis for the modelling of activated sludge process. Experiments involved beside conventional characterization, detailed COD fractionation and assessment of major kinetic and stoichiometric coefficients by means of respirometric measurements. A multi-component model based on the endogenous decay concept was used for the kinetic interpretation and design of activated sludge. The fate and variation of major process components affecting effluent quality with the sludge age were evaluated by means of model simulations.


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