Search Results - "Zhenfeng Shao"

Deep learning-based fusion of Landsat-8 and Sentinel-2 images for a harmonized surface reflectance product by Shao, Zhenfeng, Cai, Jiajun, Fu, Peng, Hu, Leiqiu, Liu, Tao

“…Landsat and Sentinel-2 sensors together provide the most widely accessible medium-to-high spatial resolution multispectral data for a wide range of…”
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DSA-Net: A novel deeply supervised attention-guided network for building change detection in high-resolution remote sensing images by Ding, Qing, Shao, Zhenfeng, Huang, Xiao, Altan, Orhan

“…•A novel dual-branch end-to-end network is proposed for building change detection.•To improve detection accuracy, multi-level and multi-scale features are…”
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Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval by Zhou, Weixun, Newsam, Shawn, Li, Congmin, Shao, Zhenfeng

“…Learning powerful feature representations for image retrieval has always been a challenging task in the field of remote sensing. Traditional methods focus on…”
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Smart city based on digital twins by Deren, Li, Wenbo, Yu, Zhenfeng, Shao

“…Digital twins are considered to be a new starting point for today’s smart city construction. This paper defines the concepts of digital twins and digital twin…”
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Estimating Forest Aboveground Biomass by Combining Optical and SAR Data: A Case Study in Genhe, Inner Mongolia, China by Shao, Zhenfeng, Zhang, Linjing

“…Estimation of forest aboveground biomass is critical for regional carbon policies and sustainable forest management. Passive optical remote sensing and active…”
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Multilabel Remote Sensing Image Retrieval Based on Fully Convolutional Network by Shao, Zhenfeng, Zhou, Weixun, Deng, Xueqing, Zhang, Maoding, Cheng, Qimin

“…Conventional remote sensing image retrieval (RSIR) system usually performs single-label retrieval where each image is annotated by a single label representing…”
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Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data by Zhang, Linjing, Shao, Zhenfeng, Liu, Jianchen, Cheng, Qimin

“…Estimation of forest aboveground biomass (AGB) is crucial for various technical and scientific applications, ranging from regional carbon and bioenergy…”
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A Benchmark Dataset for Performance Evaluation of Multi-Label Remote Sensing Image Retrieval by Zhenfeng Shao, Ke Yang, Weixun Zhou

“…Benchmark datasets are essential for developing and evaluating remote sensing image retrieval (RSIR) approaches. However, most of the existing datasets are…”
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Real-Time and Accurate UAV Pedestrian Detection for Social Distancing Monitoring in COVID-19 Pandemic by Shao, Zhenfeng, Cheng, Gui, Ma, Jiayi, Wang, Zhongyuan, Wang, Jiaming, Li, Deren

“…Coronavirus Disease 2019 (COVID-19) is a highly infectious virus that has created a health crisis for people all over the world. Social distancing has proved…”
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BRRNet: A Fully Convolutional Neural Network for Automatic Building Extraction From High-Resolution Remote Sensing Images by Shao, Zhenfeng, Tang, Penghao, Wang, Zhongyuan, Saleem, Nayyer, Yam, Sarath, Sommai, Chatpong

“…Building extraction from high-resolution remote sensing images is of great significance in urban planning, population statistics, and economic forecast…”
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MRENet: Simultaneous Extraction of Road Surface and Road Centerline in Complex Urban Scenes from Very High-Resolution Images by Shao, Zhenfeng, Zhou, Zifan, Huang, Xiao, Zhang, Ya

“…Automatic extraction of the road surface and road centerline from very high-resolution (VHR) remote sensing images has always been a challenging task in the…”
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The Integrated Use of DMSP-OLS Nighttime Light and MODIS Data for Monitoring Large-Scale Impervious Surface Dynamics: A Case Study in the Yangtze River Delta by Shao, Zhenfeng, Liu, Chong

“…The timely and reliable estimation of imperviousness is essential for the scientific understanding of human-Earth interactions. Due to the unique capacity of…”
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IHS-GTF: A Fusion Method for Optical and Synthetic Aperture Radar Data by Shao, Zhenfeng, Wu, Wenfu, Guo, Songjing

“…Optical and Synthetic Aperture Radar (SAR) fusion is addressed in this paper. Intensity–Hue–Saturation (IHS) is an easily implemented fusion method and can…”
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Object Detection in UAV Images via Global Density Fused Convolutional Network by Zhang, Ruiqian, Shao, Zhenfeng, Huang, Xiao, Wang, Jiaming, Li, Deren

“…Object detection in Unmanned Aerial Vehicle (UAV) images plays fundamental roles in a wide variety of applications. As UAVs are maneuverable with high speed,…”
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Comparison of Random Forest and XGBoost Classifiers Using Integrated Optical and SAR Features for Mapping Urban Impervious Surface by Shao, Zhenfeng, Ahmad, Muhammad Nasar, Javed, Akib

“…The integration of optical and SAR datasets through ensemble machine learning models shows promising results in urban remote sensing applications. The…”
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Spatio-temporal-spectral observation model for urban remote sensing by Shao, Zhenfeng, Wu, Wenfu, Li, Deren

“…Taking cities as objects being observed, urban remote sensing is an important branch of remote sensing. Given the complexity of the urban scenes, urban remote…”
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Mapping Urban Impervious Surface by Fusing Optical and SAR Data at the Decision Level by Shao, Zhenfeng, Fu, Huyan, Fu, Peng, Yin, Li

“…The proliferation of impervious surfaces results in a series of environmental issues, such as the decrease of vegetated areas and the aggravation of the urban…”
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Unequal weakening of urbanization and soil salinization on vegetation production capacity by Zhuang, Qingwei, Shao, Zhenfeng, Li, Deren, Huang, Xiao, Cai, Bowen, Altan, Orhan, Wu, Shixin

“…•Climate change played a dominant role in driving the increase in NPP.•The impact of urbanization on NPP was overestimated in arid regions.•Soil salinization…”
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Landslide risk evaluation and its causative factors in typical mountain environment of China: a case study of Yunfu City by Wu, Wenfu, Guo, Songjing, Shao, Zhenfeng

“…•Landslide risk result and its causative factors are explored in typical mountainous area.•The modified frequency ratio model improves the accuracy of…”
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Urban sprawl and its impact on sustainable urban development: a combination of remote sensing and social media data by Shao, Zhenfeng, Sumari, Neema S., Portnov, Aleksei, Ujoh, Fanan, Musakwa, Walter, Mandela, Paulo J.

“…Urbanization is one of the most impactful human activities across the world today affecting the quality of urban life and its sustainable development…”
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