Feng Zhang 0009 - researchr alias

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Viewing Publication 1 - 44 from 44

2024

GSA-SiamNet: A Siamese Network with Gradient-Based Spatial Attention for Pan-Sharpening of Multi-Spectral ImagesYi Gao, Mengjiao Qin, Sensen Wu, Feng Zhang 0009, Zhenhong Du. remotesensing, 16(4):616, February 2024. [doi]

Remote-Sensing Image Change Detection Based on Adjacent-Level Feature Fusion and Dense Skip ConnectionsBin Huang, Yichen Xu, Feng Zhang 0009. staeors, 17:7014-7028, 2024. [doi]

2023

Scene-level buildings damage recognition based on Cross Conv-TransformerLingfei Shi, Feng Zhang 0009, Junshi Xia, Jibo Xie. digearth, 16(2):3987-4007, December 2023. [doi]

SLBRIN: A Spatial Learned Index Based on BRINLijun Wang, Linshu Hu, Chenhua Fu, Yuhan Yu, Peng Tang, Feng Zhang 0009, Renyi Liu. ijgi, 12(4):171, 2023. [doi]

A High-Performance Automated Large-Area Land Cover Mapping FrameworkJiarui Zhang, Zhiyi Fu, Yilin Zhu, Bin Wang, Keran Sun, Feng Zhang 0009. remotesensing, 15(12):3143, June 2023. [doi]

2022

Geographically convolutional neural network weighted regression: a method for modeling spatially non-stationary relationships based on a global spatial proximity gridZhen Dai, Sensen Wu, Yuanyuan Wang, Hongye Zhou, Feng Zhang 0009, Bo Huang 0001, Zhenhong Du. gis, 36(11):2248-2269, 2022. [doi]

A Dynamic Pyramid Tilling Method for Traffic Data Stream Based on FlinkLinshu Hu, Feng Zhang 0009, Mengjiao Qin, Zhiyi Fu, Zhende Chen, Zhenhong Du, Renyi Liu. tits, 23(7):6679-6688, 2022. [doi]

Hyperspectral Image Classification with a Multiscale Fusion-Evolution Graph Convolutional Network Based on a Feature-Spatial Attention MechanismHaoyu Jing, Yuanyuan Wang, Zhenhong Du, Feng Zhang 0009. remotesensing, 14(11):2653, 2022. [doi]

Single-Image Super-Resolution for Remote Sensing Images Using a Deep Generative Adversarial Network With Local and Global Attention MechanismsYadong Li, Sébastien Mavromatis, Feng Zhang 0009, Zhenhong Du, Jean Sequeira, Zhongyi Wang, Xianwei Zhao, Renyi Liu. tgrs, 60:1-24, 2022. [doi]

A deep trajectory clustering method based on sequence-to-sequence autoencoder modelChao Wang, Fangzheng Lyu, Sensen Wu, Yuanyuan Wang, Liuchang Xu, Feng Zhang 0009, Shaowen Wang, Yongheng Wang, Zhenhong Du. tgis, 26(4):1801-1820, 2022. [doi]

A spatio-temporal graph-guided convolutional LSTM for tropical cyclones precipitation nowcastingXuying Yang, Feng Zhang 0009, Peng Sun, Xiaofan Li, Zhenhong Du, Renyi Liu. asc, 124:109003, 2022. [doi]

Machine Learning in Extreme Value Analysis, an Approach to Detecting Harmful Algal Blooms with Long-Term Multisource Satellite DataWeiwen Ye, Feng Zhang 0009, Zhenhong Du. remotesensing, 14(16):3918, 2022. [doi]

A neural network framework for fine-grained tropical cyclone intensity predictionZhe Zhang, Xuying Yang, Lingfei Shi, Bingbing Wang, Zhenhong Du, Feng Zhang 0009, Renyi Liu. kbs, 241:108195, 2022. [doi]

2021

Satellite-Based Mapping of High-Resolution Ground-Level PM2.5 with VIIRS IP AOD in China through Spatially Neural Network Weighted RegressionYijun Chen, Sensen Wu, Yuanyuan Wang, Feng Zhang 0009, Renyi Liu, Zhenhong Du. remotesensing, 13(10):1979, 2021. [doi]

Deep Understanding of Urban Dynamics from Imprint Urban Toponymic Data Using a Spatial-Temporal-Semantic Analysis ApproachYurong Chen, Feng Zhang 0009, Xinba Li, Chuanrong Zhang, Ninghua Chen, Zhenhong Du, Renyi Liu, Bo Wang. ijgi, 10(5):278, 2021. [doi]

Sea Surface Salinity Estimation and Spatial-Temporal Heterogeneity Analysis in the Gulf of MexicoZhiyi Fu, Fangfang Wu, Zhengliang Zhang, Linshu Hu, Feng Zhang 0009, Bifeng Hu, Zhenhong Du, Zhou Shi, Renyi Liu. remotesensing, 13(5):881, 2021. [doi]

RSCNN: A CNN-Based Method to Enhance Low-Light Remote-Sensing ImagesLinshu Hu, Mengjiao Qin, Feng Zhang 0009, Zhenhong Du, Renyi Liu. remotesensing, 13(1):62, 2021. [doi]

Simulating City Expansion Using a CA Urban Growth Model, Through a Case Study of Nairobi, KenyaLingfei Shi, Feng Zhang 0009, Zhenhong Du. igarss 2021: 6940-6943 [doi]

Identifying Damaged Buildings in Aerial Images Using the Object Detection MethodLingfei Shi, Feng Zhang 0009, Junshi Xia, Jibo Xie, Zhe Zhang, Zhenhong Du, Renyi Liu. remotesensing, 13(21):4213, 2021. [doi]

Using Geographically Weighted Regression to Study the Seasonal Influence of Potential Risk Factors on the Incidence of HFMD on the Chinese MainlandJingtao Sun, Sensen Wu, Zhen Yan, Yadong Li, Cheng Yan, Feng Zhang 0009, Renyi Liu, Zhenhong Du. ijgi, 10(7):448, 2021. [doi]

A Hybrid Semantic Similarity Measurement for Geospatial EntitiesLiangang Wang, Feng Zhang 0009, Zhenhong Du, Yongpei Chen, Chuanrong Zhang, Renyi Liu. mam, 80:103526, 2021. [doi]

Building Damage Detection Using U-Net with Attention Mechanism from Pre- and Post-Disaster Remote Sensing DatasetsChuyi Wu, Feng Zhang 0009, Junshi Xia, Yichen Xu, Guoqing Li, Jibo Xie, Zhenhong Du, Renyi Liu. remotesensing, 13(5):905, 2021. [doi]

Geographically and temporally neural network weighted regression for modeling spatiotemporal non-stationary relationshipsSensen Wu, Zhongyi Wang, Zhenhong Du, Bo Huang 0001, Feng Zhang 0009, Renyi Liu. gis, 35(3):582-608, 2021. [doi]

Improving Geographically Weighted Regression Considering Directional Nonstationary for Ground-Level PM2.5 EstimationWeihao Xuan, Feng Zhang 0009, Hongye Zhou, Zhenhong Du, Renyi Liu. ijgi, 10(6):413, 2021. [doi]

Multi-Task Collaboration Deep Learning Framework for Infrared Precipitation EstimationXuying Yang, Peng Sun, Feng Zhang 0009, Zhenhong Du, Renyi Liu. remotesensing, 13(12):2310, 2021. [doi]

2020

An Unsupervised Urban Extent Extraction Method from NPP-VIIRS Nighttime Light DataXiuxiu Chen, Feng Zhang 0009, Zhenhong Du, Renyi Liu. remotesensing, 12(22):3810, 2020. [doi]

Geographically neural network weighted regression for the accurate estimation of spatial non-stationarityZhenhong Du, Zhongyi Wang, Sensen Wu, Feng Zhang 0009, Renyi Liu. gis, 34(7):1353-1377, 2020. [doi]

A multi-modal transportation data-driven approach to identify urban functional zones: An exploration based on Hangzhou City, ChinaZhenhong Du, Xiaoyi Zhang 0004, Wenwen Li 0002, Feng Zhang 0009, Renyi Liu. tgis, 24(1):123-141, 2020. [doi]

Remote Sensing Single-Image Resolution Improvement Using A Deep Gradient-Aware Network with Image-Specific EnhancementMengjiao Qin, Sébastien Mavromatis, Linshu Hu, Feng Zhang 0009, Renyi Liu, Jean Sequeira, Zhenhong Du. remotesensing, 12(5):758, 2020. [doi]

Achieving Higher Resolution Lake Area from Remote Sensing Images Through an Unsupervised Deep Learning Super-Resolution MethodMengjiao Qin, Linshu Hu, Zhenhong Du, Yi Gao, Lianjie Qin, Feng Zhang 0009, Renyi Liu. remotesensing, 12(12):1937, 2020. [doi]

STME: An effective method for discovering spatiotemporal multi-type clusters containing events with different densitiesChao Wang, Zhenhong Du, Yuhua Gu, Feng Zhang 0009, Renyi Liu. tgis, 24(6):1559-1577, 2020. [doi]

GSAM: A deep neural network model for extracting computational representations of Chinese addresses fused with geospatial featureLiuchang Xu, Zhenhong Du, Ruichen Mao, Feng Zhang 0009, Renyi Liu. urban, 81:101473, 2020. [doi]

Where Urban Youth Work and Live: A Data-Driven Approach to Identify Urban Functional Areas at a Fine ScaleYiming Yan, Yuanyuan Wang, Zhenhong Du, Feng Zhang 0009, Renyi Liu, Xinyue Ye. ijgi, 9(1):42, 2020. [doi]

A Tile-Based Framework with a Spatial-Aware Feature for Easy Access and Efficient Analysis of Marine Remote Sensing DataWeiwen Ye, Feng Zhang 0009, Xianqiang He, Yan Bai, Renyi Liu, Zhenhong Du. remotesensing, 12(12):1932, 2020. [doi]

EMMCNN: An ETPS-Based Multi-Scale and Multi-Feature Method Using CNN for High Spatial Resolution Image Land-Cover ClassificationShuyu Zhang, Chuanrong Li, Shi Qiu, Caixia Gao, Feng Zhang 0009, Zhenhong Du, Renyi Liu. remotesensing, 12(1):66, 2020. [doi]

2019

2018

DBSTC: an effective method for discovering cluster features with different spatiotemporal densitiesZhenhong Du, Yuhua Gu, Chuanrong Zhang, Feng Zhang 0009, Renyi Liu, Jean Sequeira. digearth, 11(6):609-634, 2018. [doi]

a using a wavelet nonlinear autoregressive networkZhenhong Du, Mengjiao Qin, Feng Zhang 0009, Renyi Liu. kbs, 160:61-70, 2018. [doi]

A spatiotemporal regression-kriging model for space-time interpolation: a case study of chlorophyll-a prediction in the coastal areas of Zhejiang, ChinaZhenhong Du, Sensen Wu, Mei-Po Kwan, Chuanrong Zhang, Feng Zhang 0009, Renyi Liu. gis, 32(10):1927-1947, 2018. [doi]

Extending geographically and temporally weighted regression to account for both spatiotemporal heterogeneity and seasonal variations in coastal seasZhenhong Du, Sensen Wu, Feng Zhang 0009, Renyi Liu, Yan Zhou. ecoi, 43:185-199, 2018. [doi]

Vector Spatial Big Data Storage and Optimized Query Based on the Multi-Level Hilbert Grid Index in HBaseHua Jiang, Junfeng Kang, Zhenhong Du, Feng Zhang 0009, Xiangzhi Huang, Renyi Liu, Xuanting Zhang. information, 9(5):116, 2018. [doi]

Identifying Urban Functional Zones Using Public Bicycle Rental Records and Point-of-Interest DataXiaoyi Zhang, Wenwen Li, Feng Zhang 0009, Renyi Liu, Zhenhong Du. ijgi, 7(12):459, 2018. [doi]

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