Search Results - "Li, Qingquan"

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  1. 1

    A Novel Ranking-Based Clustering Approach for Hyperspectral Band Selection by Jia, Sen, Tang, Guihua, Zhu, Jiasong, Li, Qingquan

    “…Through imaging the same spatial area by hyperspectral sensors at different spectral wavelengths simultaneously, the acquired hyperspectral imagery often…”
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  2. 2

    DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection by Zou, Qin, Zhang, Zheng, Li, Qingquan, Qi, Xianbiao, Wang, Qian, Wang, Song

    Published in IEEE transactions on image processing (01-03-2019)
    “…Cracks are typical line structures that are of interest in many computer-vision applications. In practice, many cracks, e.g., pavement cracks, show poor…”
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  3. 3

    CrackTree: Automatic crack detection from pavement images by Zou, Qin, Cao, Yu, Li, Qingquan, Mao, Qingzhou, Wang, Song

    Published in Pattern recognition letters (01-02-2012)
    “…► A method for fully-automatic crack detection from pavement images. ► A geodesic shadow-removal algorithm that can remove the pavement shadows while preserve…”
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  4. 4

    Gabor Feature-Based Collaborative Representation for Hyperspectral Imagery Classification by Jia, Sen, Shen, Linlin, Li, Qingquan

    “…Sparse-representation-based classification (SRC) assigns a test sample to the class with minimum representation error via a sparse linear combination of all…”
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  5. 5

    A comparative analysis of image fusion methods by Zhijun Wang, Ziou, D., Armenakis, C., Li, D., Qingquan Li

    “…There are many image fusion methods that can be used to produce high-resolution multispectral images from a high-resolution panchromatic image and…”
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  6. 6

    A 3D Laser Profiling System for Rail Surface Defect Detection by Xiong, Zhimin, Li, Qingquan, Mao, Qingzhou, Zou, Qin

    Published in Sensors (Basel, Switzerland) (04-08-2017)
    “…Rail surface defects such as the abrasion, scratch and peeling often cause damages to the train wheels and rail bearings. An efficient and accurate detection…”
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  7. 7

    Smartphone-Based Activity Recognition for Indoor Localization Using a Convolutional Neural Network by Zhou, Baoding, Yang, Jun, Li, Qingquan

    Published in Sensors (Basel, Switzerland) (01-02-2019)
    “…In the indoor environment, the activity of the pedestrian can reflect some semantic information. These activities can be used as the landmarks for indoor…”
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  8. 8

    Spatial variations in urban public ridership derived from GPS trajectories and smart card data by Tu, Wei, Cao, Rui, Yue, Yang, Zhou, Baoding, Li, Qiuping, Li, Qingquan

    Published in Journal of transport geography (01-05-2018)
    “…Understanding urban public ridership is essential for promoting public transportation. However, limited efforts have been made to reveal the spatial variations…”
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  9. 9

    Deep learning-based remote and social sensing data fusion for urban region function recognition by Cao, Rui, Tu, Wei, Yang, Cuixin, Li, Qing, Liu, Jun, Zhu, Jiasong, Zhang, Qian, Li, Qingquan, Qiu, Guoping

    “…Urban region function recognition is key to rational urban planning and management. Due to the complex socioeconomic nature of functional land use, recognizing…”
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  10. 10

    Towards Improved Satellite Data Utilization in China: Insights from an Integrated Evaluation of GSMaP-GNRT6 in Rainfall Patterns by Wang, Zunya, Li, Qingquan

    Published in Remote sensing (Basel, Switzerland) (01-03-2024)
    “…To improve the utilization of satellite-based data and promote their development, this analysis comprehensively evaluates the performance of GSMaP…”
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  11. 11

    Application of Sentinel 2 MSI Images to Retrieve Suspended Particulate Matter Concentrations in Poyang Lake by Liu, Huizeng, Li, Qingquan, Shi, Tiezhu, Hu, Shuibo, Wu, Guofeng, Zhou, Qiming

    Published in Remote sensing (Basel, Switzerland) (01-07-2017)
    “…Suspended particulate matter (SPM) is one of the dominant water constituents in inland and coastal waters, and SPM concnetration (CSPM) is a key parameter…”
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  12. 12

    Activity Sequence-Based Indoor Pedestrian Localization Using Smartphones by Zhou, Baoding, Li, Qingquan, Mao, Qingzhou, Tu, Wei, Zhang, Xing

    Published in IEEE transactions on human-machine systems (01-10-2015)
    “…This paper presents an activity sequence-based indoor pedestrian localization approach using smartphones. The activity sequence consists of several continuous…”
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  13. 13

    Greater flood risks in response to slowdown of tropical cyclones over the coast of China by Lai, Yangchen, Li, Jianfeng, Gu, Xihui, Chen, Yongqin David, Kong, Dongdong, Gan, Thian Yew, Liu, Maofeng, Li, Qingquan, Wu, Guofeng

    “…The total amount of rainfall associated with tropical cyclones (TCs) over a given region is proportional to rainfall intensity and the inverse of TC…”
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  14. 14

    Rapid urbanization and policy variation greatly drive ecological quality evolution in Guangdong-Hong Kong-Macau Greater Bay Area of China: A remote sensing perspective by Yang, Chao, Zhang, Chenchen, Li, Qingquan, Liu, Huizeng, Gao, Wenxiu, Shi, Tiezhu, Liu, Xu, Wu, Guofeng

    Published in Ecological indicators (01-08-2020)
    “…•The proposed comprehensive ecological evaluation index (CEEI) is an effective method in revealing ecological quality.•Urbanization process and policy…”
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  15. 15

    A Robust Crowdsourcing-Based Indoor Localization System by Zhou, Baoding, Li, Qingquan, Mao, Qingzhou, Tu, Wei

    Published in Sensors (Basel, Switzerland) (14-04-2017)
    “…WiFi fingerprinting-based indoor localization has been widely used due to its simplicity and can be implemented on the smartphones. The major drawback of WiFi…”
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  16. 16

    An efficient and reliable coarse-to-fine approach for asphalt pavement crack detection by Zhang, Dejin, Li, Qingquan, Chen, Ying, Cao, Min, He, Li, Zhang, Bailing

    Published in Image and vision computing (01-01-2017)
    “…Among the various defects of asphalt pavement distress, much attention has been paid to cracks which often cause significant engineering and economic problems…”
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  17. 17

    Characterizing preferred motif choices and distance impacts by Cao, Jinzhou, Li, Qingquan, Tu, Wei, Wang, Feilong

    Published in PloS one (16-04-2019)
    “…People's daily travels are structured and can be expressed as networks. Few studies explore how people organize their daily travels and which behavioral…”
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  18. 18

    An Improved Method for Power-Line Reconstruction from Point Cloud Data by Guo, Bo, Li, Qingquan, Huang, Xianfeng, Wang, Chisheng

    Published in Remote sensing (Basel, Switzerland) (01-01-2016)
    “…This paper presents a robust algorithm to reconstruct power-lines using ALS technology. Point cloud data are automatically classified into five target classes…”
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  19. 19

    Optimized Views Photogrammetry: Precision Analysis and a Large-Scale Case Study in Qingdao by Li, Qingquan, Huang, Hui, Yu, Wenshuai, Jiang, San

    “…UAVs have become one of the widely used remote sensing platforms and played a critical role in the construction of smart cities. However, due to the complex…”
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  20. 20

    Three-Dimensional Local Binary Patterns for Hyperspectral Imagery Classification by Jia, Sen, Hu, Jie, Zhu, Jiasong, Jia, Xiuping, Li, Qingquan

    “…The local binary pattern (LBP) is a simple and efficient texture descriptor for image processing. Recently, LBP has been introduced for feature extraction of…”
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