Matching Performance Estimation of a Structural Feature Area with the Ortho-Rectified Satellite Image through Edge Component Analysis

2018 ◽  
Vol 16 (8) ◽  
pp. 65-72
Author(s):  
So-Yeong Jeon
Keyword(s):  
Structural Feature ◽  
Satellite Image ◽  
Component Analysis ◽  
Performance Estimation ◽  
Edge Component ◽  
Matching Performance

Two-Pass Robust Component Analysis for Cloud Removal in Satellite Image Sequence

2018 ◽  
Vol 15 (7) ◽  
pp. 1090-1094 ◽  
Author(s):  
Fei Wen ◽  
Yongjun Zhang ◽  
Zhi Gao ◽  
Xiao Ling
Keyword(s):  
Satellite Image ◽  
Image Sequence ◽  
Component Analysis ◽  
Cloud Removal

Satellite image fusion based on principal component analysis and high-pass filtering

2010 ◽  
Vol 27 (6) ◽  
pp. 1385 ◽  
Author(s):  
Mohamed R. Metwalli ◽  
Ayman H. Nasr ◽  
Osama S. Farag Allah ◽  
S. El-Rabaie ◽  
Fathi E. Abd El-Samie
Keyword(s):  
Principal Component Analysis ◽  
Image Fusion ◽  
Satellite Image ◽  
Principal Component ◽  
Component Analysis ◽  
High Pass

Remote Sensing Image Matching Performance Metric Based on Independent Component Analysis

2014 ◽  
Vol 43 (7) ◽  
pp. 710001
Author(s):  
巨西诺 JU Xinuo ◽  
郭文普 GUO Wenpu ◽  
孙继银 SUN Jiyin ◽  
李琳琳 LI Linlin ◽  
伍明 WU Ming
Keyword(s):  
Remote Sensing ◽  
Independent Component Analysis ◽  
Image Matching ◽  
Remote Sensing Image ◽  
Component Analysis ◽  
Independent Component ◽  
Performance Metric ◽  
Matching Performance

Determination of the Burgers vector of a dislocation in a Fe-Mn alloy by weak-beam image in HVEM

1978 ◽  
Vol 36 (1) ◽  
pp. 330-331
Author(s):  
Y. Ishida ◽  
H. Ishida ◽  
K. Kohra ◽  
H. Ichinose
Keyword(s):  
High Order ◽  
Simulation Technique ◽  
The Other ◽  
Image Simulation ◽  
Diffraction Vector ◽  
Burgers Vector ◽  
Weak Beam ◽  
Beam Image ◽  
Edge Component

IntroductionA simple and accurate technique to determine the Burgers vector of a dislocation has become feasible with the advent of HVEM. The conventional image vanishing technique(1) using Bragg conditions with the diffraction vector perpendicular to the Burgers vector suffers from various drawbacks; The dislocation image appears even when the g.b = 0 criterion is satisfied, if the edge component of the dislocation is large. On the other hand, the image disappears for certain high order diffractions even when g.b ≠ 0. Furthermore, the determination of the magnitude of the Burgers vector is not easy with the criterion. Recent image simulation technique is free from the ambiguities but require too many parameters for the computation. The weak-beam “fringe counting” technique investigated in the present study is immune from the problems. Even the magnitude of the Burgers vector is determined from the number of the terminating thickness fringes at the exit of the dislocation in wedge shaped foil surfaces.

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