Processing algorithms for quantum remote sensing image data

Siwen Bi; Hao Chen; Yuxian Ke; Siwei Rao; Jiaying Liu

doi:10.1117/12.2528307

9 September 2019 Processing algorithms for quantum remote sensing image data

Siwen Bi, Hao Chen, Yuxian Ke, Siwei Rao, Jiaying Liu

Proceedings Volume 11128, Infrared Remote Sensing and Instrumentation XXVII; 111281A (2019) https://doi.org/10.1117/12.2528307
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

Since Professor Siwen Bi proposed quantum remote sensing (QRS) in early 2001, the first QRS imaging prototype was developed after many stages of researches. Based on the results, our group has also undertaken in-depth theoretical and algorithmic experiments on QRS image processing. It’s both a quantum system simulation algorithm, preparing for the future quantum physical devices and calculation technology, and an expansion of quantum theories to RS image processing fields. It combines quantum mechanics theory and RS image processing technology, which introduces a new research direction for RS image processing technology. Now our researches achievements include a quantum denoising algorithm theory and simulation, a quantum enhancement algorithm theory and simulation, and a quantum segmentation algorithm theory research and simulation. A RS denoising algorithm based on the quantum-inspired concept is proposed for image denoising. Key benefits of the algorithm, which include improvements in transmission and accuracy, are demonstrated experimentally. Experiments showed that the peak signal to noise ratio (PSNR) for the proposed algorithm is improved by over 2dB and the edge retention index (EPI) is 0.1 higher than that for common methods. Given the low contrast ratio and brightness as well as insufficient detail for some RS images, a quantum algorithm based on the combination of a quantum inspired and unsharp masking to enhance and segment the RS image data was proposed. Results showed that the contrast ratio and brightness of images processed by the quantum algorithm improved, the image entropy and peak signal to noise ratio is higher.

Citation Download Citation

Siwen Bi, Hao Chen, Yuxian Ke, Siwei Rao, and Jiaying Liu "Processing algorithms for quantum remote sensing image data", Proc. SPIE 11128, Infrared Remote Sensing and Instrumentation XXVII, 111281A (9 September 2019); https://doi.org/10.1117/12.2528307

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KEYWORDS

Image segmentation

Image enhancement

Image processing

Image processing algorithms and systems

Remote sensing

Denoising

Quantum information

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