Dr. Hong-wei Guo Profile

Dr. Hong-wei Guo

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Proceedings Article | 12 March 2021 Paper

Research on fast cloud detection based on FPGA

Xiaokang Xu, Hongyang Bai, Yuxin Zhou, Hongwei Guo

Proceedings Volume 11763, 1176313 (2021) https://doi.org/10.1117/12.2586203

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Aiming at the feature that the cloud detection algorithm using cloud area features can take parallel computing at many places, combined with the advantage of pipeline parallel processing of FPGA processing data, this paper proposes a method for achieving high-speed real-time cloud detection based on FPGA development on the remote sensing camera side. And it designs logical architecture for the parallel computing and extraction of multiple cloud area features in the cloud detection algorithm. In addition, a method for solving the difference and comparison probability of image entropy is developed, which can achieve the rapid and accurate detection of cloud layers in remote sensing images. The hardware test results show that the proposed method can realize cloud detection processing on remote sensing images with an input resolution of 512*512 on the Xilinx z7020clg400 series FPGA platform, at the 12th pixel clock cycle after image transmission (the pixel clock is: 65MHz) to obtain the discrimination result and the accuracy of cloud area discrimination for the Landsat8 remote sensing atlas can reach 85.38%. Besides, the processing efficiency is greatly improved, which can meet the real-time cloud discrimination requirements of the spaceborne platform.

Proceedings Article | 15 November 2017 Paper

A novel algorithm for electronic image stabilization based on improved optical flow

Cheng-mei Li, Hong-yang Bai, Hong-wei Guo, Hua-ju Liang

Proceedings Volume 10605, 1060525 (2017) https://doi.org/10.1117/12.2292716

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Aiming at the problem of the jitter of video sequence recorded by the strapdown seeker in the terminal guidance process, a novel algorithm for electronic image stabilization based on improved optical flow is proposed. The algorithm uses Shi-Tomasi corner detection method to extract the image corner, and estimates the global motion parameters of jittery video sequence based on improved Pyramid LK optical flow which is designed. Then the Kalman smoothing global motion vector is adopted, which effectively makes compensation on the current image motion and retains the active movement while filtering random jitter parameters. Finally, stable image sequence output is achieved. The simulation test and the embedded platform for the actual test results indicate that the proposed algorithm has a good image stabilization effect on the translation, rotation and scaling motion of the random jittery video sequence recorded by the strapdown seeker, and possesses good robustness and real-time performance.

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