Mr. Yu Zhao Profile

Yu Zhao

at Hitachi Ltd

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Author

Publications (8)

Proceedings Article | 12 September 2021 Presentation

Applying super resolution to low resolution images for monitoring transmission lines

Tomonori Yamamoto, Yu Zhao, Sonoko Kimura, Taminori Tomita, Shinji Matsuda, Norihiko Moriwaki

Proceedings Volume 11864, 118640D (2021) https://doi.org/10.1117/12.2599724

KEYWORDS: Super resolution, Image resolution, Vegetation, Spatial resolution, Satellites, Satellite imaging, Earth observing sensors, Data modeling, Surveillance, Near infrared

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Proceedings Article | 25 October 2018 Presentation + Paper

Multivariety sugarcane sucrose estimation using a combination of spectral and agrotechnology methods

Yu Zhao, Diego Justina, Junyitiro Watanabe, Jansle Viera Rocha, Paulo Graziano, Rubens Augusto Camargo Lamparelli

Proceedings Volume 10783, 107830L (2018) https://doi.org/10.1117/12.2326705

KEYWORDS: Earth observing sensors, Satellite imaging, Satellites, Biological research, Bioalcohols, Remote sensing, Data modeling, Agriculture, Associative arrays, Image resolution

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Proceedings Article | 10 May 2018 Presentation + Paper

A robust abnormal detection method for complex structures in UAV images for autonomous O and M system

Yu Zhao, Junichiro Watanabe

Proceedings Volume 10643, 106430P (2018) https://doi.org/10.1117/12.2306374

KEYWORDS: Image registration, Image processing, Cameras, Target detection, 3D modeling, Edge detection, 3D image processing, Detection and tracking algorithms, Feature extraction, Unmanned aerial vehicles

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Proceedings Article | 3 May 2018 Presentation + Paper

Power line-tree conflict detection and 3D mapping using aerial images taken from UAV

Jun-ichiro Watanabe, Sanko Ren, Yu Zhao, Tomonori Yamamoto

Proceedings Volume 10643, 106430U (2018) https://doi.org/10.1117/12.2303480

KEYWORDS: Unmanned aerial vehicles, Visualization, Object recognition, Feature extraction

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Proceedings Article | 25 October 2016 Presentation + Paper

Dynamics modeling for sugar cane sucrose estimation using time series satellite imagery

Yu Zhao, Diego Della Justina, Yoriko Kazama, Jansle Vieira Rocha, Paulo Sergio Graziano, Rubens Augusto Camargo Lamparelli

Proceedings Volume 9998, 99980J (2016) https://doi.org/10.1117/12.2242490

KEYWORDS: Vegetation, Statistical analysis, Satellite imaging, Earth observing sensors, Satellites, Remote sensing, Agriculture, Analytical research, Infrared imaging, Data acquisition

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Proceedings Article | 8 November 2014 Paper

Crop growth dynamics modeling using time-series satellite imagery

Yu Zhao

Proceedings Volume 9260, 926003 (2014) https://doi.org/10.1117/12.2070387

KEYWORDS: Satellites, Satellite imaging, Earth observing sensors, Agriculture, Vegetation, Standards development, Remote sensing, Analytical research, Statistical analysis, Biological research

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Proceedings Article | 3 June 2014 Paper

A robust method for online stereo camera self-calibration in unmanned vehicle system

Yu Zhao, Nobuhiro Chihara, Tao Guo, Nobutaka Kimura

Proceedings Volume 9084, 90840T (2014) https://doi.org/10.1117/12.2051005

KEYWORDS: Calibration, Cameras, Imaging systems, Stereoscopic cameras, Unmanned systems, Unmanned vehicles, Evolutionary algorithms, Detection and tracking algorithms, Roads, Global Positioning System

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Self-calibration is a fundamental technology used to estimate the relative posture of the cameras for environment recognition in unmanned system. We focused on the issue of recognition accuracy decrease caused by the vibration of platform and conducted this research to achieve on-line self-calibration using feature point's registration and robust estimation of fundamental matrix. Three key factors in this respect are needed to be improved. Firstly, the feature mismatching exists resulting in the decrease of estimation accuracy of relative posture. The second, the conventional estimation method cannot satisfy both the estimation speed and calibration accuracy at the same tame. The third, some system intrinsic noises also lead greatly to the deviation of estimation results. In order to improve the calibration accuracy, estimation speed and system robustness for the practical implementation, we discuss and analyze the algorithms to make improvements on the stereo camera system to achieve on-line self-calibration. Based on the epipolar geometry and 3D images parallax, two geometry constraints are proposed to make the corresponding feature points search performed in a small search-range resulting in the improvement of matching accuracy and searching speed. Then, two conventional estimation algorithms are analyzed and evaluated for estimation accuracy and robustness. The third, Rigorous posture calculation method is proposed with consideration of the relative posture deviation of each separated parts in the stereo camera system. Validation experiments were performed with the stereo camera mounted on the Pen-Tilt Unit for accurate rotation control and the evaluation shows that our proposed method is fast and of high accuracy with high robustness for on-line self-calibration algorithm. Thus, as the main contribution, we proposed methods to solve the on-line self-calibration fast and accurately, envision the possibility for practical implementation on unmanned system as well as other environment recognition systems.

Proceedings Article | 9 November 2012 Paper

A method for enhancing spectral resolution of multispectral satellite imagery

Tao Guo, Toshihiro Kujirai, Takashi Watanabe, Yu Kitano, Yu Zhao

Proceedings Volume 8527, 85270C (2012) https://doi.org/10.1117/12.975792

KEYWORDS: Sensors, Satellites, Satellite imaging, Earth observing sensors, Spectral resolution, Image enhancement, Reflectivity, Super resolution, Resolution enhancement technologies, Multispectral imaging

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Showing 5 of 8 publications

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