DocumentCode
2713352
Title
Analysis and evaluation on fusion methods of medium and high spatial resolution remote sensing image
Author
Ding, Yuhong ; Wang, Yanhui
Author_Institution
Key Lab. of 3 D Inf. Collection & Applic., Capital Normal Univ., Beijing, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1
Lastpage
4
Abstract
The remote sensing image fusion technique has been developed quickly and applied, which is an important remote sensing research topic. How to choose the right fusion method is one of the challenges that the field face. PCA, Brovey, IHS and Multiplicative are used to fuse QuickBird and SPOT5 low-resolution multispectral and high-resolution panchromatic images. The fused images are analysed and evaluated by subjective qualitative analysis and objective quantification. Analysis indicates that IHS and Multiplicative are better in keeping color, and Multiplicative is suited for environmental study of city and suburb. PCA is more detailedly portrayed the image than Brovey fusion method and the image is clearer by PCA. Brovey is suitable for separating objects, especially the greenbelt. This experiment provides a practical reference value to the related research that how to select the appropriate remote sensing image fusion method in the future.
Keywords
geographic information systems; image colour analysis; image fusion; image resolution; principal component analysis; remote sensing; Brovey fusion method; IHS; PCA; QuickBird; SPOT5 low resolution multispectral image; greenbelt; high-resolution panchromatic image; multiplicative method; objective quantification; remote sensing image fusion technique; subjective qualitative analysis; Cities and towns; Fuses; Image color analysis; Image fusion; Image resolution; Principal component analysis; Remote sensing; Evaluation; Fusion Method; QuickBird; Remote Sensing Image; SPOT5;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2011 19th International Conference on
Conference_Location
Shanghai
ISSN
2161-024X
Print_ISBN
978-1-61284-849-5
Type
conf
DOI
10.1109/GeoInformatics.2011.5981113
Filename
5981113
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