Quality assurance of S-parameters and rational function models for transient simulations

2015 ◽  
Author(s):  
Sanghoek Kim ◽  
Gerardo Romo Luevano ◽  
Kevin Roselle ◽  
Tim Michalka
Keyword(s):  
Quality Assurance ◽  
Rational Function ◽  
S Parameters ◽  
Transient Simulations ◽  
Function Models

The pre-launch distortion definition of SIMBIO-SYS/STC stereo camera by rational function models

2018 ◽  
Author(s):  
Emanuele T. Simioni ◽  
Vania Da Deppo ◽  
Cristina Re ◽  
Alessandra Slemer ◽  
Gabriele Cremonese ◽  
...  
Keyword(s):  
Rational Function ◽  
Stereo Camera ◽  
Definition Of ◽  
Function Models

scholarly journals STATISTICAL METHOD TO OVERCOME OVERFITTING ISSUE IN RATIONAL FUNCTION MODELS

2017 ◽  
Vol XLII-4/W4 ◽  
pp. 23-26
Author(s):  
S. H. Alizadeh Moghaddam ◽  
M. Mokhtarzade ◽  
A. Alizadeh Naeini ◽  
S. A. Alizadeh Moghaddam
Keyword(s):  
Rational Function ◽  
Tikhonov Regularization ◽  
Satellite Images ◽  
Statistical Approach ◽  
Real Data ◽  
Significance Test ◽  
Statistical Test ◽  
Data Sets ◽  
Geometric Correction ◽  
Function Models

Rational function models (RFMs) are known as one of the most appealing models which are extensively applied in geometric correction of satellite images and map production. Overfitting is a common issue, in the case of terrain dependent RFMs, that degrades the accuracy of RFMs-derived geospatial products. This issue, resulting from the high number of RFMs’ parameters, leads to ill-posedness of the RFMs. To tackle this problem, in this study, a fast and robust statistical approach is proposed and compared to Tikhonov regularization (TR) method, as a frequently-used solution to RFMs’ overfitting. In the proposed method, a statistical test, namely, significance test is applied to search for the RFMs’ parameters that are resistant against overfitting issue. The performance of the proposed method was evaluated for two real data sets of Cartosat-1 satellite images. The obtained results demonstrate the efficiency of the proposed method in term of the achievable level of accuracy. This technique, indeed, shows an improvement of 50–80% over the TR.

scholarly journals A Knowledge-Based Search Strategy for Optimally Structuring the Terrain Dependent Rational Function Models

2017 ◽  
Vol 9 (4) ◽  
pp. 345 ◽  
Author(s):  
Mojtaba Jannati ◽  
Mohammad Valadan Zoej ◽  
Mehdi Mokhtarzade
Keyword(s):  
Rational Function ◽  
Search Strategy ◽  
Knowledge Based ◽  
Function Models
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