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379 results on '"Zhao, Yong-Qiang"'

10. Hyperspectral–Multispectral Image Fusion Enhancement Based on Deep Learning

Author

Yang, Jingxiang, Zhao, Yong-Qiang, Chan, Jonathan Cheung-Wai, Singh, Sameer, Founding Editor, Kang, Sing Bing, Series Editor, Bischof, Horst, Advisory Editor, Bowden, Richard, Advisory Editor, Dickinson, Sven, Advisory Editor, Jia, Jiaya, Advisory Editor, Lee, Kyoung Mu, Advisory Editor, Sato, Yoichi, Advisory Editor, Schiele, Bernt, Advisory Editor, Sclaroff, Stan, Advisory Editor, Prasad, Saurabh, editor, and Chanussot, Jocelyn, editor

Published
2020
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44. Object detection by spectropolarimeteric imagery fusion

Author

Zhao, Yong-Qiang, Gong, Peng, and Pan, Quan

Subjects
Algorithms -- Usage, Fuzzy algorithms -- Research, Fuzzy logic -- Research, Fuzzy systems -- Research, Image processing -- Methods, Polariscope -- Usage, Spectrometer -- Usage, Remote sensing -- Research, Algorithm, Fuzzy logic, Business, Earth sciences, Electronics and electrical industries
Abstract

In the past few years, imaging spectroscopy has been widely used. However, it only acquires intensity information in a narrow electromagnetic band, ignoring the polarimetric information of the electromagnetic wave and resulting in inaccurate object detection. According to electromagnetic theory, the reflected spectral signature depends on the elemental composition of objects residing within the scene, and the radiation's polarization characteristic is sensitive to surface features, such as relative smoothness and conductance. Independently, spectral and polarimetric features give incomplete representations of an object of interest. These representations are complementary, and it is expected that the combination of complementary information will reduce false alarms, improve confidence in target identification, and improve the quality of the scene description. Imaging spectropolarimetric technology as a new sensing method can acquire polarimetric information at narrow electromagnetic bands, but there are a few results showing how to combine these complementary features to detect objects in clutter. In this paper, a spectropolarimetric projection scheme is proposed to divide the spectropolarimetric data set into two parts: 1) a polarimetric spectrum data set and 2) a polarimetric data cube. Then, the polarimetric spectrum anomaly feature extraction method is used to deal with the polarimetric spectrum data set, and the adaptive polarimetric information fusion method is proposed to extract the feature from the polarimetric data cube. Finally, these features are combined by the Choquet integral to achieve better detection performance. The algorithm is applied to one complex scene, and detailed detection performance is evaluated. Index Terms--Anomaly detection, fuzzy integral, imaging spectropolarimetry, information fusion, spectropolarimetric projection.

Published
2008

46. Energy Management of Low Voltage Power Supply of Plug-in Hybrid Electric Vehicle

Author

Wang YueQiang, Zhao Yong Qiang, and Song Hao Yuan

Subjects
Battery (electricity), business.product_category, Computer science, Energy management, Plug in hybrid electric vehicle, 020302 automobile design & engineering, 02 engineering and technology, Energy consumption, Automotive engineering, 020303 mechanical engineering & transports, 0203 mechanical engineering, Control and Systems Engineering, Electric energy consumption, Electric vehicle, Fuel efficiency, Energy supply, business, Low voltage, Voltage
Abstract

Under the pressure of energy crisis and environmental pollutions, regulations of automotive emission and energy consumption are becoming more and more stringent. Plug-in Hybrid Electric Vehicle (PHEV), which can solve environmental issues and mileage limitations, becomes the most popular development trend at present. Optimization control of power battery energy contributes greatly to improving vehicle fuel economy and dynamic performance, energy optimization control of vehicle low voltage power supply also has significant influence on vehicle fuel consumption and dynamic performance. In this paper, a Low-Voltage Power Supply Energy Management System (LVPSEMS) is proposed to optimize the energy of low voltage power supply of PHEV. Dynamic management voltage output of DC/DC is conducted and realized based on vehicle states, power battery SOC and low voltage battery status with the purpose of achieving fuel economy and dynamic performance of automobile. The tests in vehicle show that the proposed LVPSEMS and control strategy can effectively improve the pure electric mileage of 1.72% and reduce the electric energy consumption by 4%.

Published
2018

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