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Sensors 2018, 18(2), 557;

An Improved Pansharpening Method for Misaligned Panchromatic and Multispectral Data

Key Laborary of Digital Earth Sciences, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
Authors to whom correspondence should be addressed.
Received: 16 January 2018 / Revised: 7 February 2018 / Accepted: 9 February 2018 / Published: 11 February 2018
(This article belongs to the Section Remote Sensors)
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Numerous pansharpening methods were proposed in recent decades for fusing low-spatial-resolution multispectral (MS) images with high-spatial-resolution (HSR) panchromatic (PAN) bands to produce fused HSR MS images, which are widely used in various remote sensing tasks. The effect of misregistration between MS and PAN bands on quality of fused products has gained much attention in recent years. An improved method for misaligned MS and PAN imagery is proposed, through two improvements made on a previously published method named RMI (reduce misalignment impact). The performance of the proposed method was assessed by comparing with some outstanding fusion methods, such as adaptive Gram-Schmidt and generalized Laplacian pyramid. Experimental results show that the improved version can reduce spectral distortions of fused dark pixels and sharpen boundaries between different image objects, as well as obtain similar quality indexes with the original RMI method. In addition, the proposed method was evaluated with respect to its sensitivity to misalignments between MS and PAN bands. It is certified that the proposed method is more robust to misalignments between MS and PAN bands than the other methods. View Full-Text
Keywords: pansharpening; high-resolution remote sensing; spectral distortion; misalignment pansharpening; high-resolution remote sensing; spectral distortion; misalignment

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Li, H.; Jing, L.; Tang, Y.; Ding, H. An Improved Pansharpening Method for Misaligned Panchromatic and Multispectral Data. Sensors 2018, 18, 557.

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