张智, 林栩凌, 何红艳. 一种基于量子力学的遥感图像滤波方法研究[J]. 红外与激光工程, 2016, 45(S2): 140-144. DOI: 10.3788/IRLA201645.S226001
引用本文: 张智, 林栩凌, 何红艳. 一种基于量子力学的遥感图像滤波方法研究[J]. 红外与激光工程, 2016, 45(S2): 140-144. DOI: 10.3788/IRLA201645.S226001
Zhang Zhi, Lin Xuling, He Hongyan. Filtering method for remote sensing image based on quantum mechanics[J]. Infrared and Laser Engineering, 2016, 45(S2): 140-144. DOI: 10.3788/IRLA201645.S226001
Citation: Zhang Zhi, Lin Xuling, He Hongyan. Filtering method for remote sensing image based on quantum mechanics[J]. Infrared and Laser Engineering, 2016, 45(S2): 140-144. DOI: 10.3788/IRLA201645.S226001

一种基于量子力学的遥感图像滤波方法研究

Filtering method for remote sensing image based on quantum mechanics

  • 摘要: 提出了一种基于量子空间的光学遥感图像滤波方法。根据量子力学特性,对量子遥感成像建模。首先进行平移不变小波变换后将图像信息分层,将图像信息转换为量子叠加态信息,然后将图像信息转换成不同量子面,在每个量子面下依据量子计算理论进行信息的范数优化约束。之后将所有优化后的各个面上的量子信息转换为图像信息,最后进行信息重构。实验证明这种方法能够有效提高图像的质量,图像评价指标均有所提高。与传统滤波方法相比,该方法能够更加有效地对遥感图像进行滤波。

     

    Abstract: In this paper, the method for optical remote sensing image in the quantum space was present. The model of quantization remote sensing image was formulated, based on the theory of quantum mechanics. The image was firstly transformed into different scale information by shift invariant wavelet. Secondly, the image was transformed to the quantum superposition state form. The further step leaded to the information being decomposed into different quantum bit(Qubit) planes. And the information was optimized by norm on every Qubit plane, following the quantum computational theorem. Finally, the remote sensing image was reassembled in the procedure of reconstruction. The experimental result shows that evaluation index of the restored image is improved, which means that processed image has better quality than conventional filtering methods.

     

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