Search Results - "Haohuan Fu"
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Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images
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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Semantic Segmentation-Based Building Footprint Extraction Using Very High-Resolution Satellite Images and Multi-Source GIS Data
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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The Sunway TaihuLight supercomputer: system and applications
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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Large-Scale Oil Palm Tree Detection from High-Resolution Satellite Images Using Two-Stage Convolutional Neural Networks
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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Deep Learning‐Based Sea Surface Roughness Parameterization Scheme Improves Sea Surface Wind Forecast
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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Importance of Spatial Resolution in Ground Motion Simulations With 3‐D Basins: An Example Using the Tangshan Earthquake
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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Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data
Published in International journal of remote sensing (10-04-2013)“…We have produced the first 30 m resolution global land-cover maps using Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data. We have…”
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A global map of planting years of plantations
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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Making Low-Resolution Satellite Images Reborn: A Deep Learning Approach for Super-Resolution Building Extraction
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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Deep Learning Improves GFS Wintertime Precipitation Forecast Over Southeastern China
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
Full-waveform inversion with randomized space shift
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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Annual dynamic dataset of global cropping intensity from 2001 to 2019
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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ResU‐Deep: Improving the Trigger Function of Deep Convection in Tropical Regions With Deep Learning
Published in Journal of advances in modeling earth systems (01-11-2023)“…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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FROM-GLC Plus: toward near real-time and multi-resolution land cover mapping
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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A Prolonged Artificial Nighttime-light Dataset of China (1984-2020)
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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A tetrahedral mesh generation approach for 3D marine controlled-source electromagnetic modeling
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
A Fully-Pipelined Hardware Design for Gaussian Mixture Models
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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SWCARE: Switchable learning and connectivity-aware refinement method for multi-city and diverse-scenario road mapping using remote sensing images
Published in International journal of applied earth observation and geoinformation (01-03-2024)“…Accurate and efficient mapping of road networks is crucial for evaluating urban development, transportation accessibility, and environmental impact. However,…”
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An adaptive image fusion method for Sentinel-2 images and high-resolution images with long-time intervals
Published in International journal of applied earth observation and geoinformation (01-07-2023)“…•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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Ultra-Scalable CPU-MIC Acceleration of Mesoscale Atmospheric Modeling on Tianhe-2
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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