DocumentCode :
108275
Title :
An Improved Phase Correlation Method Based on 2-D Plane Fitting and the Maximum Kernel Density Estimator
Author :
Xiaohua Tong ; Yusheng Xu ; Zhen Ye ; Shijie Liu ; Lingyun Li ; Huan Xie ; Fengxiang Wang ; Sa Gao ; Stilla, Uwe
Author_Institution :
Coll. of Surveying & Geo-Inf., Tongji Univ., Shanghai, China
Volume :
12
Issue :
9
fYear :
2015
fDate :
Sept. 2015
Firstpage :
1953
Lastpage :
1957
Abstract :
In this letter, an improved phase correlation (PC) method based on 2-D plane fitting and the maximum kernel density estimator (MKDE) is proposed, which combines the idea of Stone´s method and robust estimator MKDE. The proposed PC method first utilizes a vector filter to minimize the noise errors of the phase angle matrix and then unwraps the filtered phase angle matrix by the use of the minimum cost network flow unwrapping algorithm. Afterward, the unwrapped phase angle matrix is robustly fitted via MKDE, and the slope coefficients of the 2-D plane indicate the subpixel shifts between images. The experiments revealed that the improved method can effectively avoid the impact of outliers on the phase angle matrix during the plane fitting and is robust to aliasing and noise. The matching accuracy can reach 1/50th of a pixel using simulated data. The real image sequence tracking experiment was also undertaken to demonstrate the effectiveness of the proposed PC method with a registration accuracy of root-mean-square error better than 0.1 pixels.
Keywords :
estimation theory; geophysical image processing; image matching; image sequences; remote sensing; 2D plane fitting; Stone method; image sequence tracking experiment; maximum kernel density estimator; network flow unwrapping algorithm; noise error; phase angle matrix; phase correlation method; registration accuracy; robust MKDE estimator; root-mean-square error; slope coefficient; subpixel shift; Accuracy; Correlation; Integrated circuits; Kernel; Noise; Remote sensing; Robustness; Maximum kernel density estimator (MKDE); phase correlation (PC); subpixel matching;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2015.2440340
Filename :
7130611
Link To Document :
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