DocumentCode :
1177921
Title :
Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods
Author :
Otazu, Xavier ; González-Audícana, María ; Fors, Octavi ; Núñez, Jorge
Author_Institution :
Centre de Visio per Computador, Univ. Autonoma de Barcelona, Spain
Volume :
43
Issue :
10
fYear :
2005
Firstpage :
2376
Lastpage :
2385
Abstract :
Usual image fusion methods inject features from a high spatial resolution panchromatic sensor into every low spatial resolution multispectral band trying to preserve spectral signatures and improve spatial resolution to that of the panchromatic sensor. The objective is to obtain the image that would be observed by a sensor with the same spectral response (i.e., spectral sensitivity and quantum efficiency) as the multispectral sensors and the spatial resolution of the panchromatic sensor. But in these methods, features from electromagnetic spectrum regions not covered by multispectral sensors are injected into them, and physical spectral responses of the sensors are not considered during this process. This produces some undesirable effects, such as resolution overinjection images and slightly modified spectral signatures in some features. The authors present a technique which takes into account the physical electromagnetic spectrum responses of sensors during the fusion process, which produces images closer to the image obtained by the ideal sensor than those obtained by usual wavelet-based image fusion methods. This technique is used to define a new wavelet-based image fusion method.
Keywords :
image processing; image sensors; remote sensing; sensor fusion; wavelet transforms; image fusion; panchromatic sensor; quantum efficiency; sensor spectral response; spatial resolution; spectral sensitivity; wavelet transform; Electromagnetic spectrum; Helium; Image fusion; Image resolution; Image sensors; Multispectral imaging; Sensor fusion; Sensor phenomena and characterization; Spatial resolution; Wavelet transforms; Data fusion; image sensors; multispectral image; spectral response; wavelet transforms;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2005.856106
Filename :
1512408
Link To Document :
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