Search Results - "Feng, Quanlong"

Winter Wheat Yield Prediction at County Level and Uncertainty Analysis in Main Wheat-Producing Regions of China with Deep Learning Approaches by Wang, Xinlei, Huang, Jianxi, Feng, Quanlong, Yin, Dongqin

“…Timely and accurate forecasting of crop yields is crucial to food security and sustainable development in the agricultural sector. However, winter wheat yield…”
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UAV Remote Sensing for Urban Vegetation Mapping Using Random Forest and Texture Analysis by Feng, Quanlong, Liu, Jiantao, Gong, Jianhua

“…Unmanned aerial vehicle (UAV) remote sensing has great potential for vegetation mapping in complex urban landscapes due to the ultra-high resolution imagery…”
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Urban Flood Mapping Based on Unmanned Aerial Vehicle Remote Sensing and Random Forest Classifier—A Case of Yuyao, China by Feng, Quanlong, Liu, Jiantao, Gong, Jianhua

“…Flooding is a severe natural hazard, which poses a great threat to human life and property, especially in densely-populated urban areas. As one of the fastest…”
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Multisource Hyperspectral and LiDAR Data Fusion for Urban Land-Use Mapping based on a Modified Two-Branch Convolutional Neural Network by Feng, Quanlong, Zhu, Dehai, Yang, Jianyu, Li, Baoguo

“…Accurate urban land-use mapping is a challenging task in the remote-sensing field. With the availability of diverse remote sensors, synthetic use and…”
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Integrating Multitemporal Sentinel-1/2 Data for Coastal Land Cover Classification Using a Multibranch Convolutional Neural Network: A Case of the Yellow River Delta by Feng, Quanlong, Yang, Jianyu, Zhu, Dehai, Liu, Jiantao, Guo, Hao, Bayartungalag, Batsaikhan, Li, Baoguo

“…Coastal land cover classification is a significant yet challenging task in remote sensing because of the complex and fragmented nature of coastal landscapes…”
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Large-Scale Crop Mapping Based on Machine Learning and Parallel Computation with Grids by Yang, Ning, Liu, Diyou, Feng, Quanlong, Xiong, Quan, Zhang, Lin, Ren, Tianwei, Zhao, Yuanyuan, Zhu, Dehai, Huang, Jianxi

“…Large-scale crop mapping provides important information in agricultural applications. However, it is a challenging task due to the inconsistent availability of…”
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Developing a Dual-Stream Deep-Learning Neural Network Model for Improving County-Level Winter Wheat Yield Estimates in China by Huang, Hai, Huang, Jianxi, Feng, Quanlong, Liu, Junming, Li, Xuecao, Wang, Xinlei, Niu, Quandi

“…Accurate and timely crop yield prediction over large spatial regions is critical to national food security and sustainable agricultural development. However,…”
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Flood Mapping Based on Multiple Endmember Spectral Mixture Analysis and Random Forest Classifier—The Case of Yuyao, China by Feng, Quanlong, Gong, Jianhua, Liu, Jiantao, Li, Yi

“…Remote sensing is recognized as a valuable tool for flood mapping due to its synoptic view and continuous coverage of the flooding event. This paper proposed a…”
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Modality Fusion Vision Transformer for Hyperspectral and LiDAR Data Collaborative Classification by Yang, Bin, Wang, Xuan, Xing, Ying, Cheng, Chen, Jiang, Weiwei, Feng, Quanlong

“…In recent years, collaborative classification of multimodal data, e.g., hyperspectral image (HSI) and light detection and ranging (LiDAR), has been widely used…”
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Mapping of plastic greenhouses and mulching films from very high resolution remote sensing imagery based on a dilated and non-local convolutional neural network by Feng, Quanlong, Niu, Bowen, Chen, Boan, Ren, Yan, Zhu, Dehai, Yang, Jianyu, Liu, Jiantao, Ou, Cong, Li, Baoguo

“…•A novel convolutional neural network (CNN) was proposed for agricultural plastic cover mapping.•Both plastic greenhouses and mulching films could be detected…”
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Multi-Temporal Unmanned Aerial Vehicle Remote Sensing for Vegetable Mapping Using an Attention-Based Recurrent Convolutional Neural Network by Feng, Quanlong, Yang, Jianyu, Liu, Yiming, Ou, Cong, Zhu, Dehai, Niu, Bowen, Liu, Jiantao, Li, Baoguo

“…Vegetable mapping from remote sensing imagery is important for precision agricultural activities such as automated pesticide spraying. Multi-temporal unmanned…”
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Urban Water Extraction with UAV High-Resolution Remote Sensing Data Based on an Improved U-Net Model by Li, Wenning, Li, Yi, Gong, Jianhua, Feng, Quanlong, Zhou, Jieping, Sun, Jun, Shi, Chenhui, Hu, Weidong

“…Obtaining water body images quickly and reliably is important to guide human production activities and study urban change. This paper presents a fast and…”
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Winter wheat mapping using a random forest classifier combined with multi-temporal and multi-sensor data by Liu, Jiantao, Feng, Quanlong, Gong, Jianhua, Zhou, Jieping, Liang, Jianming, Li, Yi

“…Wheat is a major staple food crop in China. Accurate and cost-effective wheat mapping is exceedingly critical for food production management, food security…”
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Improving the Accuracy of Land Cover Mapping by Distributing Training Samples by Li, Chenxi, Ma, Zaiying, Wang, Liuyue, Yu, Weijian, Tan, Donglin, Gao, Bingbo, Feng, Quanlong, Guo, Hao, Zhao, Yuanyuan

“…High-quality training samples are essential for accurate land cover classification. Due to the difficulties in collecting a large number of training samples,…”
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Understanding urban expansion and shrinkage via green plastic cover mapping based on GEE cloud platform: A case study of Shandong, China by Liu, Jiantao, Zhang, Yan, Feng, Quanlong, Yin, Gaofei, Zhang, Dong, Li, Yi, Gong, Jianhua, Li, Yexiang, Li, Jingxian

“…•Green Plastic Cover (GPC) was used as a signature for urban construction evaluation.•Time series GPC maps were produced via Google Earth Engine and…”
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Building segmentation and outline extraction from UAV image-derived point clouds by a line growing algorithm by Dai, Yucheng, Gong, Jianhua, Li, Yi, Feng, Quanlong

“…This paper presents an approach to process raw unmanned aircraft vehicle (UAV) image-derived point clouds for automatically detecting, segmenting and…”
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Landsat-Derived Annual Maps of Agricultural Greenhouse in Shandong Province, China from 1989 to 2018 by Ou, Cong, Yang, Jianyu, Du, Zhenrong, Zhang, Tingting, Niu, Bowen, Feng, Quanlong, Liu, Yiming, Zhu, Dehai

“…Agricultural greenhouse (AG), one of the fastest-growing technology-based approaches worldwide in terms of controlling the environmental conditions of crops,…”
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Solid waste mapping based on very high resolution remote sensing imagery and a novel deep learning approach by Niu, Bowen, Feng, Quanlong, Yang, Jianyu, Chen, Boan, Gao, Bingbo, Liu, Jiantao, Li, Yi, Gong, Jianhua

“…The urbanization worldwide leads to the rapid increase of solid waste, posing a threat to environment and people's wellbeing. However, it is challenging to…”
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A 10-m national-scale map of ground-mounted photovoltaic power stations in China of 2020 by Feng, Quanlong, Niu, Bowen, Ren, Yan, Su, Shuai, Wang, Jiudong, Shi, Hongda, Yang, Jianyu, Han, Mengyao

“…We provide a remote sensing derived dataset for large-scale ground-mounted photovoltaic (PV) power stations in China of 2020, which has high spatial resolution…”
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Grassland Aboveground Biomass Estimation through Assimilating Remote Sensing Data into a Grass Simulation Model by Zhang, Yuxin, Huang, Jianxi, Huang, Hai, Li, Xuecao, Jin, Yunxiang, Guo, Hao, Feng, Quanlong, Zhao, Yuanyuan

“…Grassland aboveground biomass is crucial for evaluating grassland desertification, degradation, and grassland and livestock balance. Given the lack of…”
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