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1 January 2011 Multispectral and panchromatic image fusion based on improved bilateral
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Image fusion is of great importance to various remote sensing applications because many Earth observation satellites provide both high-resolution panchromatic (Pan) and low-resolution multispectral (MS) images. A number of fusion methods have been proposed, such as intensity-hue-saturation fusion and wavelet transform fusion methods. However, further studies are still necessary to improve the fusion performance for new types of remotely sensed images, such as IKONOS or QuickBird images. We propose an improved bilateral total variation filter method for fusing such MS and Pan images based on regularization. First, the constraints on the MS and Pan images are imposed based on the observation model. Then, the improved bilateral filter is used as an a priori model to constrain the high-resolution MS images. Finally, the steepest descent optimization algorithm is used to obtain the estimated MS images. Fusion simulations on spatially degraded IKONOS and QuickBird images, whose original MS images are available for reference, respectively, show that the proposed approach has better spatial quality while keeping the spectral information of the MS images.
©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
Aiye Shi, Lizhong Xu, Feng Xu, and Chengrong Huang "Multispectral and panchromatic image fusion based on improved bilateral," Journal of Applied Remote Sensing 5(1), 053542 (1 January 2011).
Published: 1 January 2011

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