Geomatics for Smart Cities - Concept, Key Techniques, and Applications. - Deren Li; Jie Shan; Zhenfeng Shao; Xiran Zhou; Yuan Yao (Geo spatial Inf. Sci., 2013)

A Novel Hierarchical Semisupervised SVM for Classification of Hyperspectral Images. - Zhenfeng Shao; Lei Zhang 059; Xiran Zhou; Lin Ding 003 (IEEE Geosci. Remote. Sens. Lett., 2014)

Illumination and Contrast Balancing for Remote Sensing Images. - Jun Liu 018; Xing Wang; Min Chen; Shuguang Liu; Zhenfeng Shao; Xiran Zhou; Ping Liu 013 (Remote. Sens., 2014)

A scalable cyberinfrastructure solution to support big data management and multivariate visualization of time-series sensor observation data. - Wenwen Li 002; Sheng Wu; Miaomiao Song; Xiran Zhou (Earth Sci. Informatics, 2016)

An Integrated Software Framework to Support Semantic Modeling and Reasoning of Spatiotemporal Change of Geographical Objects: A Use Case of Land Use and Land Cover Change Study. - Wenwen Li 002; Xiran Zhou; Sheng Wu (ISPRS Int. J. Geo Inf., 2016)

A Geographic Object-Based Approach for Land Classification Using LiDAR Elevation and Intensity. - Xiran Zhou; Wenwen Li 002 (IEEE Geosci. Remote. Sens. Lett., 2017)

Semantic classification for hyperspectral image by integrating distance measurement and relevance vector machine. - Jun Liu 018; Xiran Zhou; Junyi Huang; Shuguang Liu; Huali Li; Shan Wen; Junchen Liu (Multim. Syst., 2017)

Transferring scale-independent features to support multi-scale object recognition with deep convolutional neural network. - Xiran Zhou (SIGSPATIAL/GIS, 2018)

Csrs-Siat: A Benchmark Remote Sensing Dataset to Semantic-Enabled and Cross-Scales Scene Recognition. - Yuan Shen; Xiran Zhou; Jun Liu 018; Jinsong Chen 001 (IGARSS, 2018)

Intelligent Map Reader: A Framework for Topographic Map Understanding With Deep Learning and Gazetteer. - Huali Li; Jun Liu 018; Xiran Zhou (IEEE Access, 2018)

Deep Convolutional Neural Networks for Map-Type Classification. - Xiran Zhou; Wenwen Li 002; Samantha T. Arundel; Jun Liu 018 (CoRR, 2018)

The effect of resolution on terrain feature extraction. - Samantha T. Arundel; Wenwen Li 002; Xiran Zhou (PeerJ Prepr., 2018)

SRC: transferring scale-independent features to support multi-scale object recognition with deep convolutional neural network. - Xiran Zhou (ACM SIGSPATIAL Special, 2018)

A spatio-contextual probabilistic model for extracting linear features in hilly terrains from high-resolution DEM data. - Xiran Zhou; Wenwen Li 002; Samantha T. Arundel (Int. J. Geogr. Inf. Sci., 2019)

GeoAI-enhanced Techniques to Support Geographical Knowledge Discovery from Big Geospatial Data. - Xiran Zhou (2019)

Augmenting a deep-learning algorithm with canal inspection knowledge for reliable water leak detection from multispectral satellite images. - Jiawei Chen; Pingbo Tang; Todd Rakstad; Michael Patrick; Xiran Zhou (Adv. Eng. Informatics, 2020)

An Ontology-Based Framework for Complex Urban Object Recognition through Integrating Visual Features and Interpretable Semantics. - Xiao Xie; Xiran Zhou; Jingzhong Li; Weijiang Dai (Complex., 2020)

Bag of Geomorphological Words: A Framework for Integrating Terrain Features and Semantics to Support Landform Object Recognition from High-Resolution Digital Elevation Models. - Xiran Zhou; Xiao Xie; Yong Xue; Bing Xue 004; Kai Qin; Weijiang Dai (ISPRS Int. J. Geo Inf., 2020)

FY-4A AOD Based Estimates the Mass Concentration of PM2.5 and PM10 on Land. - Yuxin Sun; Yong Xue; Kai Qin; Xiran Zhou; Xingxing Jiang; Chunlin Jin; Shuhui Wu (IGARSS, 2021)

Atmospheric Environmental Capacity Calculation Using Multisource Remote Sensing Data. - Shuhui Wu; Yong Xue; Xiran Zhou; Kai Qin; Yuxin Sun; Chunlin Jin (IGARSS, 2021)

Optimal Scheduling Framework of Electricity-Gas-Heat Integrated Energy System Based on Asynchronous Advantage Actor-Critic Algorithm. - Jian Dong; Haixin Wang 002; Junyou Yang; Xinyi Lu; Liu Gao; Xiran Zhou (IEEE Access, 2021)

Water Chlorophyll Estimation in an Urban Canal System With High-Resolution Remote Sensing Data. - Xiran Zhou; Jiawei Chen; Todd Rakstad; Mike Ploughe; Pingbo Tang (IEEE Geosci. Remote. Sens. Lett., 2021)

Estimation of the PM2.5 and PM10 Mass Concentration over Land from FY-4A Aerosol Optical Depth Data. - Yuxin Sun; Yong Xue; Xingxing Jiang; Chunlin Jin; Shuhui Wu; Xiran Zhou (Remote. Sens., 2021)

Combing GOME-2B and OMI Satellite Data to Estimate Near-Surface NO2 of Mainland China. - Donghui Li; Kai Qin; Jason Blake Cohen; Qin He; Shuo Wang; Ding Li 007; Xiran Zhou; Xiaolu Ling; Yong Xue (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Estimation of PM2.5 and PM10 Mass Concentrations in Mining City Cluster from Gaofen-L Aerosol Optical Depth data and Chemical Transport Model. - Yuxin Sun; Yong Xue; Rui Bai 005; Tengfei Cui; Shuhui Wu; Xingxing Jiang; Chunlin Jin; Xiran Zhou (IGARSS, 2022)

Optimal Assignment Strategy for Dynamic Workflow of Remote Sensing Big Data Processing. - Sheng Zhang; Yong Xue; Yang Ming; Xiaopeng Zhang; Chunlin Jin; Xingxing Jiang; Xiran Zhou (IGARSS, 2022)

An Exploratory Evaluation of Multiscale Data Analysis for Landform Element Detection on High-Resolution DEM. - Xiran Zhou; Bing Xue 004; Yong Xue; Xiao Xie; Jun Yang 012; Kai Qin (IEEE Geosci. Remote. Sens. Lett., 2022)

Telegeoprocessing - Yong Xue; Xiran Zhou; Sheng Zhang (WorldScientific, 2023)

CartoMark: a benchmark dataset for map pattern recognition and 1 map content retrieval with machine intelligence. - Xiran Zhou; Yi Wen; Honghao Li; Kaiyuan Li; Zhenfeng Shao; Zhigang Yan; Xiao Xie (CoRR, 2023)

Model and Data Integrated Transfer Learning for Unstructured Map Text Detection. - Yanrui Zhai; Xiran Zhou; Honghao Li (ISPRS Int. J. Geo Inf., 2023)

Shadow Pattern-Enhanced Building Height Extraction Using Very-High-Resolution Image. - Xiran Zhou; Soe W. Myint (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

An Adaptive Identification Method for Potential Landslide Hazards Based on Multisource Data. - Wenping Yin; Chong Niu; Yongqing Bai; Linlin Zhang; Deqiang Ma; Sheng Zhang; Xiran Zhou; Yong Xue (Remote. Sens., 2023)

mapSR: A Deep Neural Network for Super-Resolution of Raster Map. - Honghao Li; Xiran Zhou; Zhigang Yan (ISPRS Int. J. Geo Inf., 2023)

A2CI: A Cloud-based, Service-oriented Geospatial Cyberinfrastructure to Support Atmospheric Research. - Wenwen Li 002; Hu Shao; Sizhe Wang; Xiran Zhou; Sheng Wu (CoRR, 2024)

Optimal Scheduling of Park-Level IES by Considering Combined Weights. - Zihao Yang; Xiran Zhou; Ruijie Si; Xiangyu Cai; Haoqian Cui; Yannan Dong; Haixin Wang 002; Junyou Yang; Zhe Chen 007; Shiyan Hu 001 (J. Circuits Syst. Comput., 2024)

A Spatial-Contextual Neural Network for Fine-Scaled Ridgeline and Valleyline Extraction. - Kangshou Li; Qiyue Zhang; Musen Yang; Qian Zhang; Wenhao Lu; Xiran Zhou (IEEE Geosci. Remote. Sens. Lett., 2024)

Improved Hungarian algorithm-based task scheduling optimization strategy for remote sensing big data processing. - Sheng Zhang; Yong Xue; Heng Zhang; Xiran Zhou; Kaiyuan Li; Runze Liu (Geo spatial Inf. Sci., 2024)