DocumentCode :
2663269
Title :
Pan-sharpening via the contourlet transform
Author :
Shah, Vijay P. ; Younan, Nicolas H. ; King, Roger
Author_Institution :
Mississippi State Univ., Starkville
fYear :
2007
fDate :
23-28 July 2007
Firstpage :
310
Lastpage :
313
Abstract :
The wavelet transform has been a popular choice for the spatial transformation in the pan-sharpening process. However, the wavelet transform do not represent the directional information efficiently. On the other hand, the contourlet transform, which also has a property of multiresolution decomposition similar to the wavelet, is known to provide efficient directional information and is also useful in capturing intrinsic geometrical structures of the objects. This property of contourlet transformation is very useful for images that contain geometric features. Principal component analysis (PCA) is generally used for the spectral transformation. In this paper, an alternative algorithm based on the merger of PCA-contourlet transform for pan-sharpening is presented. The efficiency of this method is tested by performing pan-sharpening of the high resolution (IKONOS and Quickbird) and the medium resolution (LandSat7 ETM+) datasets. The resulting pan-sharpened images are evaluated in terms of known global validation indexes. These indexes reveal that this method provides better fusion results than the PCA-wavelet approach.
Keywords :
feature extraction; geophysical signal processing; image processing; principal component analysis; remote sensing; sensor fusion; transforms; IKONOS dataset; LandSat7 ETM+ dataset; Quickbird dataset; contourlet transform; directional information; geometric features; geometrical structures; image fusion; multiresolution decomposition; pan sharpening; principal component analysis; spatial transformation; spectral transformation; Corporate acquisitions; Discrete transforms; Discrete wavelet transforms; Filter bank; Image resolution; Principal component analysis; Signal resolution; Spatial resolution; USA Councils; Wavelet transforms; Contourlets; Image Fusion; Pansharpening; Principal Component Analysis (PCA); Wavelets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
Type :
conf
DOI :
10.1109/IGARSS.2007.4422792
Filename :
4422792
Link To Document :
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