Automated Extraction of Street Lights From JL1-3B Nighttime Light Data and Assessment of Their Solar Energy Potential
暂无分享,去创建一个
Bin Cheng | Bailang Yu | Zuoqi Chen | Beibei Li | Yong Li | Bin Wu | Qiaoxuan Li | Congxiao Wang | Jianping Wu | Jianping Wu | Bailang Yu | Zuoqi Chen | Bin Wu | Congxiao Wang | Beibei Li | Qiaoxuan Li | Yong Li | Bin Cheng
[1] Ernest Orlando Lawrence,et al. China's energy and emissions outlook to 2050: Perspectives from bottom-up energy end-use model , 2013 .
[2] Ryun Jung Lee,et al. Smarter Shrinkage: a Neighborhood-Scaled Rightsizing Strategy Based on Land Use Dynamics , 2018, Journal of Geovisualization and Spatial Analysis.
[3] Yijin Wu,et al. Potentiality of Using Luojia1-01 Night-Time Light Imagery to Estimate Urban Community Housing Price—A Case Study in Wuhan, China , 2019, Sensors.
[4] Yunsong Li,et al. Cloud Detection in High-Resolution Remote Sensing Images Using Multi-features of Ground Objects , 2019, Journal of Geovisualization and Spatial Analysis.
[5] Bisheng Yang,et al. A shape-based segmentation method for mobile laser scanning point clouds , 2013 .
[6] Wei Song,et al. Normalization of time series DMSP-OLS nighttime light images for urban growth analysis with Pseudo Invariant Features , 2014 .
[7] Guo Zhang,et al. On-Orbit Relative Radiometric Calibration of the Night-Time Sensor of the LuoJia1-01 Satellite , 2018, Sensors.
[8] Fan Wu,et al. Rapid Localization and Extraction of Street Light Poles in Mobile LiDAR Point Clouds: A Supervoxel-Based Approach , 2017, IEEE Transactions on Intelligent Transportation Systems.
[9] Martin A. Green,et al. Solar cell efficiency tables (version 37) , 2011 .
[10] Qingwu Hu,et al. QUALITY ANALYSIS OF OPEN STREET MAP DATA , 2013 .
[11] María Concepcion Alonso,et al. Automatic Detection and Classification of Pole-Like Objects in Urban Point Cloud Data Using an Anomaly Detection Algorithm , 2015, Remote. Sens..
[12] Christopher D. Elvidge,et al. Spectral Identification of Lighting Type and Character , 2010, Sensors.
[13] Yiping Chen,et al. Inventory of 3D street lighting poles using mobile laser scanning point clouds , 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
[14] T. Ramachandra,et al. Spatial mapping of renewable energy potential , 2007 .
[15] Liang Chen,et al. Estimating Roof Solar Energy Potential in the Downtown Area Using a GPU-Accelerated Solar Radiation Model and Airborne LiDAR Data , 2015, Remote. Sens..
[16] Ha T. Nguyen,et al. Quantifying Rooftop Solar Photovoltaic Potential for Regional Renewable Energy Policy , 2010, Comput. Environ. Urban Syst..
[17] S. R. Bull,et al. Renewable energy today and tomorrow , 2001, Proc. IEEE.
[18] Yan Da. Calculation of Solar Radiation and Generated Energy on Inclined Plane and Optimal Inclined Angle , 2012 .
[19] Zhen Wang,et al. A Multiscale and Hierarchical Feature Extraction Method for Terrestrial Laser Scanning Point Cloud Classification , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[20] Jun Yu,et al. Semiautomated Extraction of Street Light Poles From Mobile LiDAR Point-Clouds , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[21] Yong Ge,et al. A likelihood-based spatial statistical transformation model (LBSSTM) of regional economic development using DMSP/OLS time-series nighttime light imagery , 2017 .
[22] Fernando J. Nogueira,et al. Street lighting LED luminaires replacing high pressure sodium lamps: Study of case , 2014, 2014 11th IEEE/IAS International Conference on Industry Applications.
[23] Qihao Weng,et al. A new source of multi-spectral high spatial resolution night-time light imagery—JL1-3B , 2018, Remote Sensing of Environment.
[24] Zeng Wen-xian,et al. Rapid Charge System for Lead-Acid Battery of Solar Energy Street Light based on Single-Chip Microcomputer , 2008, 2008 International Conference on Computer Science and Information Technology.
[25] Wei Song,et al. A New Approach for Detecting Urban Centers and Their Spatial Structure With Nighttime Light Remote Sensing , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[26] Jianping Wu,et al. Evaluation of NPP-VIIRS night-time light composite data for extracting built-up urban areas , 2014 .
[27] Mamadou L. Ndiaye,et al. Monitoring the Performance of Solar Street Lights in Sahelian Environment: Case Study of Senegal , 2017, 2017 10th International Conference on Developments in eSystems Engineering (DeSE).
[28] M. Orabi,et al. Design and development of energy-free solar street LED light system , 2011, 2011 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East.
[29] Noam Levin,et al. Quantifying urban light pollution — A comparison between field measurements and EROS-B imagery , 2016 .
[30] Cheng Wang,et al. Three-Dimensional Object Matching in Mobile Laser Scanning Point Clouds , 2015, IEEE Geoscience and Remote Sensing Letters.
[31] Tapan Kumar Saha,et al. Financial and environmental analysis of rooftop photovoltaic installations with battery storage in Australia , 2015 .
[32] Guo Zhang,et al. Analyzing parcel-level relationships between Luojia 1-01 nighttime light intensity and artificial surface features across Shanghai, China: A comparison with NPP-VIIRS data , 2020, Int. J. Appl. Earth Obs. Geoinformation.
[33] Chang Li,et al. Port economics comprehensive scores for major cities in the Yangtze Valley, China using the DMSP-OLS night-time light imagery , 2017, Remote Sensing of Night-time Light.
[34] Neil A. Dodgson,et al. Decolorize: Fast, contrast enhancing, color to grayscale conversion , 2007, Pattern Recognit..
[35] Bisheng Yang,et al. Hierarchical extraction of urban objects from mobile laser scanning data , 2015 .