Search Results - "Haohuan Fu"

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  1. 1

    Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images by Li, Weijia, Fu, Haohuan, Yu, Le, Cracknell, Arthur

    Published in Remote sensing (Basel, Switzerland) (01-01-2017)
    “…Oil palm trees are important economic crops in Malaysia and other tropical areas. The number of oil palm trees in a plantation area is important information…”
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    Journal Article
  2. 2

    Semantic Segmentation-Based Building Footprint Extraction Using Very High-Resolution Satellite Images and Multi-Source GIS Data by Li, Weijia, He, Conghui, Fang, Jiarui, Zheng, Juepeng, Fu, Haohuan, Yu, Le

    Published in Remote sensing (Basel, Switzerland) (01-02-2019)
    “…Automatic extraction of building footprints from high-resolution satellite imagery has become an important and challenging research issue receiving greater…”
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    Journal Article
  3. 3

    The Sunway TaihuLight supercomputer: system and applications by Fu, Haohuan, Liao, Junfeng, Yang, Jinzhe, Wang, Lanning, Song, Zhenya, Huang, Xiaomeng, Yang, Chao, Xue, Wei, Liu, Fangfang, Qiao, Fangli, Zhao, Wei, Yin, Xunqiang, Hou, Chaofeng, Zhang, Chenglong, Ge, Wei, Zhang, Jian, Wang, Yangang, Zhou, Chunbo, Yang, Guangwen

    Published in Science China. Information sciences (01-07-2016)
    “…The Sunway TaihuLight supercomputer is the world's first system with a peak performance greater than 100 PFlops. In this paper, we provide a detailed…”
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    Journal Article
  4. 4

    Large-Scale Oil Palm Tree Detection from High-Resolution Satellite Images Using Two-Stage Convolutional Neural Networks by Li, Weijia, Dong, Runmin, Fu, Haohuan, Yu, Le

    Published in Remote sensing (Basel, Switzerland) (01-01-2019)
    “…Being an important economic crop that contributes 35% of the total consumption of vegetable oil, remote sensing-based quantitative detection of oil palm trees…”
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    Journal Article
  5. 5

    Deep Learning‐Based Sea Surface Roughness Parameterization Scheme Improves Sea Surface Wind Forecast by Fu, Shu, Huang, Wenyu, Luo, Jingjia, Yang, Zifan, Fu, Haohuan, Luo, Yong, Wang, Bin

    Published in Geophysical research letters (28-12-2023)
    “…Accurate offshore surface wind forecasting is crucial for navigation safety and disaster prevention. However, significant biases exist in forecasting sea…”
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    Journal Article
  6. 6

    Importance of Spatial Resolution in Ground Motion Simulations With 3‐D Basins: An Example Using the Tangshan Earthquake by Zhang, Wenqiang, Zhang, Zhenguo, Fu, Haohuan, Li, Zhengbo, Chen, Xiaofei

    Published in Geophysical research letters (16-11-2019)
    “…Resonances within a sedimentary basin result in complex local seismograms. To accurately calculate complex seismograms in numerical simulations, a fine grid…”
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  7. 7
  8. 8

    A global map of planting years of plantations by Du, Zhenrong, Yu, Le, Yang, Jianyu, Xu, Yidi, Chen, Bin, Peng, Shushi, Zhang, Tingting, Fu, Haohuan, Harris, Nancy, Gong, Peng

    Published in Scientific data (01-04-2022)
    “…Plantation is an important land use type that differs from natural forests and affects the economy and the environment. Tree age is one of the key factors used…”
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    Journal Article
  9. 9

    Making Low-Resolution Satellite Images Reborn: A Deep Learning Approach for Super-Resolution Building Extraction by Zhang, Lixian, Dong, Runmin, Yuan, Shuai, Li, Weijia, Zheng, Juepeng, Fu, Haohuan

    Published in Remote sensing (Basel, Switzerland) (01-08-2021)
    “…Existing methods for building extraction from remotely sensed images strongly rely on aerial or satellite-based images with very high resolution, which are…”
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  10. 10

    Deep Learning Improves GFS Wintertime Precipitation Forecast Over Southeastern China by Sun, Danyi, Huang, Wenyu, Yang, Zifan, Luo, Yong, Luo, Jingjia, Wright, Jonathon S., Fu, Haohuan, Wang, Bin

    Published in Geophysical research letters (28-07-2023)
    “…Wintertime precipitation, especially snowstorms, significantly impacts people's lives. However, the current forecast skill of wintertime precipitation is still…”
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  11. 11

    Full-waveform inversion with randomized space shift by Yang, Jizhong, Li, Yunyue Elita, Wei Yanwen, Wei Yanwen, Fu Haohuan, Fu Haohuan, Liu Yuzhu, Liu Yuzhu

    Published in Leading edge (Tulsa, Okla.) (01-03-2019)
    “…Full-waveform inversion (FWI) has the great potential to retrieve high-fidelity subsurface models, with the constraint that the traveltime difference between…”
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  12. 12

    Annual dynamic dataset of global cropping intensity from 2001 to 2019 by Liu, Xiaoxuan, Zheng, Juepeng, Yu, Le, Hao, Pengyu, Chen, Bin, Xin, Qinchuan, Fu, Haohuan, Gong, Peng

    Published in Scientific data (28-10-2021)
    “…The cropping intensity has received growing concern in the agriculture field in applications such as harvest area research. Notwithstanding the significant…”
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  13. 13

    ResU‐Deep: Improving the Trigger Function of Deep Convection in Tropical Regions With Deep Learning by Chen, Mengxuan, Fu, Haohuan, Zhang, Tao, Wang, Lanning

    “…Modeling deep convection accurately in tropical regions is important. However, biases remain in current trigger functions. To alleviate the overestimation of…”
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  14. 14

    FROM-GLC Plus: toward near real-time and multi-resolution land cover mapping by Yu, Le, Du, Zhenrong, Dong, Runmin, Zheng, Juepeng, Tu, Ying, Chen, Xin, Hao, Pengyu, Zhong, Bo, Peng, Dailiang, Zhao, Jiyao, Li, Xiyu, Yang, Jianyu, Fu, Haohuan, Yang, Guangwen, Gong, Peng

    Published in GIScience and remote sensing (31-12-2022)
    “…Global land cover has undergone extensive and rapid changes as a result of human activities and climate change. These changes have had a significant impact on…”
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  15. 15

    A Prolonged Artificial Nighttime-light Dataset of China (1984-2020) by Zhang, Lixian, Ren, Zhehao, Chen, Bin, Gong, Peng, Xu, Bing, Fu, Haohuan

    Published in Scientific data (22-04-2024)
    “…Nighttime light remote sensing has been an increasingly important proxy for human activities. Despite an urgent need for long-term products and pilot…”
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  16. 16

    A tetrahedral mesh generation approach for 3D marine controlled-source electromagnetic modeling by Um, Evan Schankee, Kim, Seung-Sep, Fu, Haohuan

    Published in Computers & geosciences (01-03-2017)
    “…3D finite-element (FE) mesh generation is a major hurdle for marine controlled-source electromagnetic (CSEM) modeling. In this paper, we present a FE…”
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  17. 17

    A Fully-Pipelined Hardware Design for Gaussian Mixture Models by Conghui He, Haohuan Fu, Ce Guo, Luk, Wayne, Guangwen Yang

    Published in IEEE transactions on computers (01-11-2017)
    “…Gaussian Mixture Models (GMMs) are widely used in many applications such as data mining, signal processing and computer vision, for probability density…”
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  18. 18

    SWCARE: Switchable learning and connectivity-aware refinement method for multi-city and diverse-scenario road mapping using remote sensing images by Zhang, Lixian, Yuan, Shuai, Dong, Runmin, Zheng, Juepeng, Gan, Bin, Fang, Dengmao, Liu, Yang, Fu, Haohuan

    “…Accurate and efficient mapping of road networks is crucial for evaluating urban development, transportation accessibility, and environmental impact. However,…”
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  19. 19

    An adaptive image fusion method for Sentinel-2 images and high-resolution images with long-time intervals by Dong, Runmin, Zhang, Lixian, Li, Weijia, Yuan, Shuai, Gan, Lin, Zheng, Juepeng, Fu, Haohuan, Mou, Lichao, Zhu, Xiao Xiang

    “…•An adaptive image fusion method for Sentinel-2 and high-resolution images.•S2IFNet is proposed to fuse images with long-time intervals and spectral…”
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  20. 20

    Ultra-Scalable CPU-MIC Acceleration of Mesoscale Atmospheric Modeling on Tianhe-2 by Wei Xue, Chao Yang, Haohuan Fu, Xinliang Wang, Yangtong Xu, Junfeng Liao, Lin Gan, Lu, Yutong, Ranjan, Rajiv, Wang, Lizhe

    Published in IEEE transactions on computers (01-08-2015)
    “…In this work an ultra-scalable algorithm is designed and optimized to accelerate a 3D compressible Euler atmospheric model on the CPU-MIC hybrid system of…”
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