Share Email Print
cover

Proceedings Paper

Fusion of panchromatic and multispectral remote sensing data using regression analysis in local region
Author(s): Yu Liu; Qinling Dai; Leiguang Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Because of the physical constraint of the spatial information sensor, there is a tradeoff between the spatial and spectrum resolution of remote sensing image. A region-based regression model is presented to fuse panchromatic and multispectral images. The upsampled MS image is segmented into isolated regions firstly. Then, a regression model is established independently for each isolated region by considering the linear relationship between corresponding PAN and MS image pixel values in the region. Finally, a modulation-based fusion technique is employed to get fusion result. The method is compared with the Brovey method and the fusion based global regression in both qualitative and quantitative ways, shows superior result.

Paper Details

Date Published: 15 November 2011
PDF: 6 pages
Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83350Q (15 November 2011); doi: 10.1117/12.919672
Show Author Affiliations
Yu Liu, Southwest Forestry Univ. (China)
Qinling Dai, Southwest Forestry Univ. (China)
Leiguang Wang, Southwest Forestry Univ. (China)


Published in SPIE Proceedings Vol. 8335:
2012 International Workshop on Image Processing and Optical Engineering
Hai Guo; Qun Ding, Editor(s)

© SPIE. Terms of Use
Back to Top