DocumentCode :
2203087
Title :
Improved registration method for infrared and visible remote sensing image using NSCT and SIFT
Author :
Huang Qingqing ; Yang Jian ; Wang Chengyi ; Chen Jingbo ; Meng Yu
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
2360
Lastpage :
2363
Abstract :
This paper introduces an improved image registration method for infrared and visible remote sensing image based on NSCT and SIFT algorithm. As the infrared and visible spectral characteristics of remote sensing images are inconsistent, the gray difference between these two images are quite distinct, so there are less matching points by using SIFT algorithm directly. The method of NSCT can decompose the image to a series of frequency channels and high frequency channels contain the edge details of the original image. It could get more matching points and improve the matching rate and the accuracy of registration by using SIFT registration method between two high frequency channels of decomposed images.
Keywords :
edge detection; geophysical image processing; image matching; image registration; infrared imaging; remote sensing; transforms; visible spectra; NSCT; SIFT algorithm; SIFT registration method; frequency channel; image decomposition; image edge detail; image gray difference; image registration; infrared characteristics; infrared image; matching point; matching rate; nonsubsampled contourlet transform; visible remote sensing image; visible spectral characteristics; Filter banks; Image edge detection; Image registration; Remote sensing; Transforms; Vectors; NSCT; SIFT; infrared image; registration; remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6351020
Filename :
6351020
Link To Document :
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