DocumentCode :
3062695
Title :
Joint IHS and variational methods for pan-sharpening of very high resolution imagery
Author :
Ze-ming Zhou ; Ping-lv Yang ; Yuan-xiang Li ; Wen Yin ; Lin Jiang
Author_Institution :
Inst. of Meteorol. & Oceanogr., PLA Univ. of Sci. & Technol., Nanjing, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
2597
Lastpage :
2600
Abstract :
A new pan-sharpening approach is proposed for merging the panchromatic image and the multi-spectral image by jointly using IHS and variational method. The substitute image of the intensity component of IHS transform is the optimization solution of the proposed energy functional. The functional consists of three energy terms. The first term extracts the spatial details from the Pan image and injects the details into the MS image. The second term preserves the spectral signature of the MS image by requiring that the low-resolution version of the substitute image should be close to the intensity component. The third term guarantees the smoothness of the optimization solution. The proposed method is validated on the IKONOS and QuickBird dataset. In comparison with the fusion models including extended fast IHS (eFIHS), AWLP and IHS-BT, the prospective fusion results are presented by the proposed model.
Keywords :
feature extraction; geophysical image processing; geophysical techniques; image fusion; image resolution; transforms; AWLP; IHS method; IHS transform; IHS-BT; IKONOS dataset; Pan image; QuickBird dataset; eFIHS; energy functional; extended fast IHS; fusion model; image merging; intensity component; multispectral image; optimization solution; pan-sharpening approach; panchromatic image; spatial detail extraction; spectral signature preservation; variational method; very high resolution imagery; Image color analysis; Image fusion; Optimization; Remote sensing; Spatial resolution; Transforms; IHS fusion; gradient descend flow; image fusion; pan-sharpening; variational fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723354
Filename :
6723354
Link To Document :
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