An imaging simulation method of SAR based on anisotropic fBm

2009 ◽  
Author(s):  
Hui Cheng ◽  
Hongtao Deng
Keyword(s):  
Simulation Method ◽  
Imaging Simulation

An Optical Imaging Simulation Method for Inverted Microscope and its Application in Automatic Cell Manipulation

2012 ◽  
Vol 490-495 ◽  
pp. 1981-1985
Author(s):  
Qi Liang Du ◽  
Xue Song Lan ◽  
Ling Yuan ◽  
Rui Liang
Keyword(s):  
Optical Imaging ◽  
Forward Direction ◽  
Simulation Method ◽  
Considerable Effect ◽  
Cell Manipulation ◽  
Egg Cell ◽  
Virtual Image ◽  
Sensing Element ◽  
Inverted Microscope ◽  
Imaging Simulation

For a further understanding of the features of objects in the microscopic image during automatic cell manipulation, an optical imaging simulation method for inverted microscope was studied, with an assumption of parallel rays of light. The proposed method calculated the forward direction of every ray starting from the source until it reached the lens or disappeared from the effective range. A virtual image could be generated by an imitation of a CCD sensing element. Emulations in cases of a micro glass bar, a micro pipette and an egg cell which were commonly encountered in cell manipulation were carried out, whose gray-level virtual images were contrasted to real ones for verification. Results showed a considerable effect of the proposed simulation method

Imaging simulation method of TG-02 accompanying satellite′s visible camera

2017 ◽  
Vol 46 (12) ◽  
pp. 1218002
Author(s):  
韩 意 Han Yi ◽  
陈 明 Chen Ming ◽  
孙华燕 Sun Huayan ◽  
张 宇 Zhang Yu ◽  
孔 静 Kong Jing
Keyword(s):  
Simulation Method ◽  
Imaging Simulation

scholarly journals GF-7 IMAGING SIMULATION AND DSM ACCURACY ESTIMATE

2017 ◽  
Vol XLII-1/W1 ◽  
pp. 353-356
Author(s):  
Q. Yue ◽  
X. Tang ◽  
X. Gao
Keyword(s):  
Ground Truth ◽  
Simulation Method ◽  
Geometric Error ◽  
Basic Data ◽  
Image Point ◽  
Physical Parameters ◽  
Stereo Images ◽  
Simulated Image ◽  
Accuracy Estimate ◽  
Imaging Simulation

GF-7 satellite is a two-line-array stereo imaging satellite for surveying and mapping which will be launched in 2018. Its resolution is about 0.8 meter at subastral point corresponding to a 20 km width of cloth, and the viewing angle of its forward and backward cameras are 5 and 26 degrees. This paper proposed the imaging simulation method of GF-7 stereo images. WorldView-2 stereo images were used as basic data for simulation. That is, we didn’t use DSM and DOM as basic data (we call it “ortho-to-stereo” method) but used a “stereo-to-stereo” method, which will be better to reflect the difference of geometry and radiation in different looking angle. The shortage is that geometric error will be caused by two factors, one is different looking angles between basic image and simulated image, another is not very accurate or no ground reference data. We generated DSM by WorldView-2 stereo images. The WorldView-2 DSM was not only used as reference DSM to estimate the accuracy of DSM generated by simulated GF-7 stereo images, but also used as “ground truth” to establish the relationship between WorldView-2 image point and simulated image point. Static MTF was simulated on the instantaneous focal plane “image” by filtering. SNR was simulated in the electronic sense, that is, digital value of WorldView-2 image point was converted to radiation brightness and used as radiation brightness of simulated GF-7 camera. This radiation brightness will be converted to electronic number n according to physical parameters of GF-7 camera. The noise electronic number n1 will be a random number between -√n and √n. The overall electronic number obtained by TDI CCD will add and converted to digital value of simulated GF-7 image. Sinusoidal curves with different amplitude, frequency and initial phase were used as attitude curves. Geometric installation errors of CCD tiles were also simulated considering the rotation and translation factors. An accuracy estimate was made for DSM generated from simulated images.

Power of Modified Brown-Forsythe and Mixed-Model Approaches in Split-Plot Designs

Methodology ◽  
2017 ◽  
Vol 13 (1) ◽  
pp. 9-22 ◽  
Author(s):  
Pablo Livacic-Rojas ◽  
Guillermo Vallejo ◽  
Paula Fernández ◽  
Ellián Tuero-Herrero
Keyword(s):  
Repeated Measures ◽  
Statistical Power ◽  
Mixed Model ◽  
Covariance Structure ◽  
Simulation Method ◽  
Future Research ◽  
Repeated Measures Design ◽  
Fixed And Random Effects ◽  
Split Plot ◽  
High Level

Abstract. Low precision of the inferences of data analyzed with univariate or multivariate models of the Analysis of Variance (ANOVA) in repeated-measures design is associated to the absence of normality distribution of data, nonspherical covariance structures and free variation of the variance and covariance, the lack of knowledge of the error structure underlying the data, and the wrong choice of covariance structure from different selectors. In this study, levels of statistical power presented the Modified Brown Forsythe (MBF) and two procedures with the Mixed-Model Approaches (the Akaike’s Criterion, the Correctly Identified Model [CIM]) are compared. The data were analyzed using Monte Carlo simulation method with the statistical package SAS 9.2, a split-plot design, and considering six manipulated variables. The results show that the procedures exhibit high statistical power levels for within and interactional effects, and moderate and low levels for the between-groups effects under the different conditions analyzed. For the latter, only the Modified Brown Forsythe shows high level of power mainly for groups with 30 cases and Unstructured (UN) and Autoregressive Heterogeneity (ARH) matrices. For this reason, we recommend using this procedure since it exhibits higher levels of power for all effects and does not require a matrix type that underlies the structure of the data. Future research needs to be done in order to compare the power with corrected selectors using single-level and multilevel designs for fixed and random effects.

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