[1] |
Li Deren, Li Xi. An Overview on Data Mining of Nighttime Light Remote Sensing[J]. Acta Geodetica et Cartographica Sinica, 2015, 44(6):591-601(李德仁, 李熙. 论夜光遥感数据挖掘[J]. 测绘学报, 2015, 44(6):591-601) |
[2] |
Levin N, Kyba C C M, Zhang Q L, et al. Remote Sensing of Night Lights:A Review and an Outlook for the Future[J]. Remote Sensing of Environment, 2020, 237:111443 |
[3] |
Elvidge C D, Baugh K E, Kihn E A, et al. Relation Between Satellite Observed Visible-near Infrared Emissions, Population, Economic Activity and Electric Power Consumption[J]. International Journal of Remote Sensing, 1997, 18(6):1373-1379 |
[4] |
Elvidge C D, Baugh K, Zhizhin M, et al. VIIRS Night-time Lights[J]. International Journal of Remote Sensing, 2017, 38(21):5860-5879 |
[5] |
Elvidge C D, Baugh K, Zhizhin M, et al. Why VIIRS Data are Superior to DMSP for Mapping Nighttime Lights[J]. Proceedings of the Asia-Pacific Advanced Network, 2013, 35:62-69 |
[6] |
Yu Bailang, Wang Congxiao, Gong Wenkang, et al. Nighttime light remote sensing and urban studies:Data, methods, applications, and prospects[J]. National Remote Sensing Bulletin, 2021, 25(1):342-364(余柏蒗, 王丛笑, 宫文康, 等. 夜间灯光遥感与城市问题研究:数据、方法、应用和展望[J]. 遥感学报, 2021, 25(1):342-364) |
[7] |
Xie Y H, Weng Q H, Fu P. Temporal Variations of Artificial Nighttime Lights and their Implications for Urbanization in the Conterminous United States, 2013-2017[J]. Remote Sensing of Environment, 2019, 225:160-174 |
[8] |
Zhou Y Y, Smith S J, Elvidge C D, et al. A Cluster-based Method to Map Urban Area from DMSP/OLS Nightlights[J]. Remote Sensing of Environment, 2014, 147:173-185 |
[9] |
Zhang Lin, Li Xi. Analysis on Disparity of Regional Development in Pakistan Under Perspective of Nighttime Light Remote Sensing[J]. Geomatics and Information Science of Wuhan University, 2022, 47(2):269-279(张霖, 李熙. 夜光遥感视角下的巴基斯坦区域发展差异分析[J]. 开云体育苹果版学报·信息科学版, 2022, 47(2):269-279) |
[10] |
Chen Yulun, Chen Danni, Li Xi. Analysis of Night Light Patterns Using Urban Public Camera[J]. Geomatics and Information Science of Wuhan University, 2022, 47(8):1318-1327(陈宇伦, 陈丹妮, 李熙. 利用城市公共摄像头分析夜间灯光变化规律[J]. 开云体育苹果版学报·信息科学版, 2022, 47(8):1318-1327) |
[11] |
Forbes D J. Multi-scale Analysis of the Relationship Between Economic Statistics and DMSP-OLS Night Light Images[J]. Giscience & Remote Sensing, 2013, 50(5):483-499 |
[12] |
Small C, Pozzi F, Elvidge C D. Spatial Analysis of Global Urban Extent from DMSP-OLS Night Lights[J]. Remote Sensing of Environment, 2005, 96(3-4):277-291 |
[13] |
Wang Taoyang, Zhang Guo, Li Peiran. Analysis on the Driving Factors of Urban Expansion Policy Based on DMSP/OLS Remote Sensing Image[J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(11):1466-1473(汪韬阳, 张过, 李沛然, 等. 基于DMSP/OLS夜光遥感影像的城市扩张政策驱动因素分析[J]. 测绘学报, 2018, 47(11):1466-1473) |
[14] |
Chen Jin, Zhuo Li, Shi Peijun. The Study on Urbanization Process in China Based on DMSP/OLS Data:Development of a Light Index for Urbanization Level Estimation[J]. Journal of Remote Sensing, 2003, 7(3):168-175+241(陈晋, 卓莉, 史培军, 等. 基于DMSP/OLS数据的中国城市化过程研究——反映区域城市化水平的灯光指数的构建[J]. 遥感学报, 2003, 7(3):168-175+241) |
[15] |
Li Xi, Gong Yu. Evaluation of China's Aid to Central Asia from the Perspective of Night-time Light Remote Sensing[J/OL]. Geomatics and Information Science of Wuhan University, 2023:1-11[2023-1-18]. DOI:10.13203/j.whugis20220478(李熙, 巩钰. 夜间灯光遥感视角下的中国对中亚地区援助效果评估[J/OL]. 开云体育苹果版学报·信息科学版, 2023:1-11[2023-1-18]. DOI:10.13203/j.whugis20220478) |
[16] |
Li H L, Peng J, Liu Y X, et al. Urbanization Impact on Landscape Patterns in Beijing City, China:A Spatial Heterogeneity Perspective[J]. Ecological Indicators, 2017, 82:50-60 |
[17] |
Zhao X, Li X, Zhou Y Y, et al. Analyzing Urban Spatial Connectivity Using Night Light Observations:A Case Study of Three Representative Urban Agglomerations in China[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 13:1097-1108 |
[18] |
Li X, Xu H M, Chen X L, et al. Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of China[J]. Remote Sensing, 2013, 5(6):3057-3081 |
[19] |
Bennett M M, Smith L C. Advances in Using Multitemporal Night-time Lights Satellite Imagery to Detect, Estimate, and Monitor Socioeconomic Dynamics[J]. Remote Sensing of Environment, 2017, 192:176-197 |
[20] |
Jiang W, He G J, Long T F, et al. Potentiality of Using Luojia 1-01 Nighttime Light Imagery to Investigate Artificial Light Pollution[J]. Sensors, 2018, 18(9):2900 |
[21] |
Jiang W, He G J, Leng W C, et al. Characterizing Light Pollution Trends Across Protected Areas in China Using Nighttime Light Remote Sensing Data[J]. ISPRS International Journal of GeoInformation, 2018, 7(7):243 |
[22] |
Li X, Li X Y, Li D R, et al. A Preliminary Investigation of Luojia-1 Night-time Light Imagery[J]. Remote Sensing Letters, 2019, 10(6):526-535 |
[23] |
Li X, Zhao L X, Li D R, et al. Mapping Urban Extent Using Luojia 1-01 Nighttime Light Imagery[J]. Sensors, 2018, 18(11):3665 |
[24] |
Li Deren, Zhang Guo, Shen Xin. Design and Processing Night Light Remote Sensing of LJ1-01 Satellite[J]. Journal of Remote Sensing, 2019, 23(6):1011-1022(李德仁, 张过, 沈欣, 等. 珞珈一号01星夜光遥感设计与处理[J]. 遥感学报, 2019, 23(6):1011-1022) |
[25] |
Li Fei, Yan Qingwu, Zou Yajing, et al. Extraction Accuracy of Urban Built-up Area Based on Nighttime Light Data and POI:A Case Study of Luojia 1-01 and NPP/VIIRS Nighttime Light Images[J]. Geomatics and Information Science of Wuhan University, 2021, 46(6):825-835(厉飞, 闫庆武, 邹雅婧, 等. 利用夜间灯光POI的城市建成区提取精度研究——以珞珈一号01星和NPP/VIIRS夜间灯光影像为例[J]. 开云体育苹果版学报·信息科学版, 2021, 46(6):825-835) |
[26] |
Liu Quanyi, Zhan Qingming, Li Jiansong. Extracting Built-up Areas Using Luojia-1:A Nighttime Light Imageries in Wuhan, China[J]. Geomatics and Information Science of Wuhan University, 2021, 46(1):30-39(刘权毅, 詹庆明, 李建松, 等. 珞珈一号夜间灯光影像在建设用地提取中的应用:以武汉市为例[J]. 开云体育苹果版学报·信息科学版, 2021, 46(1):30-39) |
[27] |
Meijer J, Huijbregts M, Schotten K, et al. Global Patterns of Current and Future Road Infrastructure[J]. Environmental Research Letters, 2018, 13(6):064006 |
[28] |
Cheng F, Liu S, Hou X, et al. Urban Land Extraction Using DMSP/OLS Nighttime Light Data and OpenStreetMap Datasets for Cities in China at Different Development Levels[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 11(8):2587-2599 |
[29] |
Wang L Y, Fan H, Wang Y K. An Estimation of Housing Vacancy Rate Using NPP-VIIRS Nighttime Light Data and OpenStreetMap Data[J]. International Journal of Remote Sensing, 2019, 40(22):8566-8588 |
[30] |
Wang C X, Chen Z Q, Yang C S, 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[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 85:101989 |
[31] |
Schwind P, Storch T. Georeferencing Urban Nighttime Lights Imagery Using Street Network Maps[J]. 2022, 14(11):2671 |
[32] |
Zhao M, Zhou Y Y, Li X C, et al. Building a Series of Consistent Night-Time Light Data (1992- 2018) in Southeast Asia by Integrating DMSP-OLS and NPP-VIIRS[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(3):1843-1856 |
[33] |
Yang Y L, Ma M G, Zhu X B, et al. Research on Spatial Characteristics of Metropolis Development Using Nighttime Light Data:NTL Based Spatial Characteristics of Beijing[J]. PLOS ONE, 2020, 15(11):e0242663 |
[34] |
Shen Z Y, Zhu X L, Cao X, et al. Measurement of Blooming Effect of DMSP-OLS Nighttime Light Data Based on NPP-VIIRS Data[J]. Annals of GIS, 2019, 25(2):153-165 |
[35] |
Zhou Q, Zheng Y M, Shao J Y, et al. An Improved Method of Determining Human Population Distribution Based on Luojia 1-01 Nighttime Light Imagery and Road Network Data-A Case Study of the City of Shenzhen[J]. Sensors, 2020, 20(18):5032 |
[36] |
JTG B01-2014, Technical Standard of Highway Engineering[S].Beijing:China Communication Press, 2014.(JTG B01-2014, 公路工程技术标准[S].北京:人民交通出版社, 2014.) |
[37] |
Wang N C, Liu Y F, Wang J Z, et al. Investigating the Potential of Using POI and Nighttime Light Data to Map Urban Road Safety at the Micro-Level:A Case in Shanghai, China[J]. Sustainability, 2019, 11(17):4739 |
[38] |
Silverman B W. Density Estimation for Statistics and Data Analysis[M]. London, UK:Chapman and Hall, 1986 |
[39] |
Xu H M, Li X. Evaluating Spatial Details of Luojia-1 Night-Time Images Using Road Network Analysis[J]. Geoinformatics in Sustainable Ecosystem and Society, 2020:122-131 |
[40] |
Gao J Q, Wang B B, Wang Z Y, et al. A Wavelet Transform-based Image Segmentation Method[J]. Optik, 2020, 208:164123 |
[41] |
Liu Y, Chen X, Wang Z F, et al. Deep Learning for Pixel-level Image Fusion:Recent Advances and Future Prospects[J]. Information Fusion, 2018, 42:158-173 |
[42] |
Aymaz S, Köse C. A Novel Image Decomposition-based Hybrid Technique with Super-resolution Method for Multi-focus Image Fusion[J]. Information Fusion, 2019, 45:113-127 |
[43] |
Levin N, Zhang Q L. A Global Analysis of Factors Controlling VIIRS Nighttime Light Levels from Densely Populated Areas[J]. Remote Sensing of Environment, 2017, 190:366-382 |