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Investigation of Remote Sensing Image Fusion Strategy Applying PCA to Wavelet Packet Analysis Based on IHS Transform

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Abstract

Further exploration of wavelet packet analysis (WPA) in the area of image fusion has been a hot topic. It is a strategy to combine WPA with such other transforms as intensity–hue–saturation (IHS), principle component analysis (PCA) for image fusion between the panchromatic (PAN) and the multispectral (MS) image. The paper puts forward a distinct fusion method. Its main idea can be stated as three steps. Firstly, intensity component is derived from IHS model of the image after an MS image is transformed from RGB to IHS. Secondly, intensity component and a matched PAN image are decomposed by WPA at the second scale, respectively. The innovational concept with two aspects is applying PCA theory to merge wavelet packet coefficients. One is to detect edge and produce self-adaptive weighted ratios for low-frequency band. The other is to yield another weighted coefficients for high-frequency bands based on standard deviation. Lastly, the new intensity component created by implementing inverse WPA, matching with hue and saturation reserved, makes up a color composition. A fused image is produced when carrying out transformation from IHS to RGB for the composition. It turns out that the presented fusion strategy is effective with experiments.

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Acknowledgements

This work is supported by National Natural Science Foundation (61461003).

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Authors and Affiliations

  1. School of Mathematics and Statistics, Ningxia University, No. 217 Wencui, North-Street, Xixia District, Yinchuan, 750021, Ningxia, People’s Republic of China

    Xiaoliang Zhu

  2. School of Computer Science and Engineering, North Minzu University, No. 204 Wenchang, North-Street, Xixia District, Yinchuan, 750021, Ningxia, People’s Republic of China

    Xiaoliang Zhu & Wenxing Bao

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  1. Xiaoliang Zhu
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  2. Wenxing Bao
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Correspondence to Xiaoliang Zhu.

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Zhu, X., Bao, W. Investigation of Remote Sensing Image Fusion Strategy Applying PCA to Wavelet Packet Analysis Based on IHS Transform. J Indian Soc Remote Sens 47, 413–425 (2019). https://doi.org/10.1007/s12524-018-0930-8

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  • DOI: https://doi.org/10.1007/s12524-018-0930-8

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