A fusion approach is proposed to refine the resolution of urban multi-spectral images using the corresponding high-resolution panchromatic (PAN) images. Firstly, the two images are decomposed by wavelet transformation, and five texture features are extracted from high-frequency detailed sub-images. Then a multi-characteristics fusion rule is used to merge wavelet coefficients from the two images according to the extracted features. Experimental results indicate that, comparing with the non-characteristic methods, the proposed method can efficiently preserve the spectral information while improving the spatial resolution of the urban remote sensing images.
© 2006 Chinese Optics Letters
(280.0280) Remote sensing and sensors : Remote sensing and sensors
(330.6100) Vision, color, and visual optics : Spatial discrimination
(330.6180) Vision, color, and visual optics : Spectral discrimination
(350.2660) Other areas of optics : Fusion
Xuhong Yang, Zhongliang Jing, and Gang Liu, "Fusion of urban remote image based on multi-characteristics," Chin. Opt. Lett. 4, 275-278 (2006)