[1] |
Chen J, Chen J, Liao A, et al.Global and Cover Mapping at 30 m Resolution:A POK-Based Opera-tional Approach[J].ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 103:7-27 doi: 10.1016/j.isprsjprs.2014.09.002 |
[2] |
陈军, 陈晋, 廖安平, 等.全球30 m地表覆盖遥感制图的总体技术[J].测绘学报, 2014, 43(6):551-557 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=chxb201406001
Chen Jun, Chen Jin, Liao Anping, et al.Concept Sand Key Techniques for 30 m Global Land Cover Mapping[J].Acta Geodaetica et Cartographica Sinica, 2014, 43(6):551-557 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=chxb201406001 |
[3] |
Sitthi A, Nagai M, Dailey M, et al.Exploring Land Use and Land Cover of Geotagged Social-Sensing Images Using Naive Bayes Classifier[J].Sustainability, 2016, 8(9):921-942 doi: 10.3390/su8090921 |
[4] |
See L, Schepaschenko D, Lesiv M, et al.Building a Hybrid Land Cover Map with Crowdsourcing and Geographically Weighted Regression[J].ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 103:48-56 doi: 10.1016/j.isprsjprs.2014.06.016 |
[5] |
鲁国珍, 常晓猛, 李清泉, 等.基于人类时空活动的城市土地利用分类研究[J].地球信息科学学报, 2015, 17(12):1497-1505 http://d.old.wanfangdata.com.cn/Periodical/dqxxkx201512012
Lu Guozhen, Chang Xiaomeng, Li Qingquan, et al.Land Use Classification Based on Massive Human-Activity Spatio-temporal Data[J].Journal of Geo-information Science, 2015, 17(12):1497-1505 http://d.old.wanfangdata.com.cn/Periodical/dqxxkx201512012 |
[6] |
Hu T, Yang J, Li X, et al.Mapping Urban Land Use by Using Landsat Images and Open Social Data[J].Remote Sensing, 2016, 8(2):151-168 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=remotesensing-08-00151 |
[7] |
Xing H, Meng Y, Hou D, et al.Exploring Point-of-Interest Data from Social Media for Artificial Surface Validation with Decision Trees[J].International Journal of Remote Sensing, 2017, 38(23):6945-6969 doi: 10.1080/01431161.2017.1368101 |
[8] |
Xing H, Meng Y, Hou D, et al.Employing Crowdsourced Geographic Information to Classify Land Cover with Spatial Clustering and Topic Model[J].Remote Sensing, 2017, 9(6):602-621 doi: 10.3390/rs9060602 |
[9] |
Meng Y, Hou D, Xing H.Rapid Detection of Land Cover Changes Using Crowdsourced Geographic Information:A Case Study of Beijing, China[J].Sustainability, 2017, 9(9):1547-1562 doi: 10.3390/su9091547 |
[10] |
Blei D M, Ng A Y, Jordan M I.Latent Dirichlet Allocation[J].Journal of Machine Learning Research, 2003, 3:993-1022 http://d.old.wanfangdata.com.cn/Periodical/jsjyy201306024 |
[11] |
Cortes C, Vapnik V.Support-Vector Networks[J].Machine Learning, 1995, 20(3):273-297 http://d.old.wanfangdata.com.cn/Periodical/hwyhmb200803006 |
[12] |
Adams B, Janowicz K.Thematic Signatures for Cleansing and Enriching Place-related Linked Data[J].International Journal of Geographical Information Science, 2015, 29(4):556-579 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=10.1080/13658816.2014.989855 |
[13] |
Lansley G, Longley P A.The Geography of Twitter Topics in London[J].Computers Environment and Urban Systems, 2016, 58:85-96 doi: 10.1016/j.compenvurbsys.2016.04.002 |
[14] |
Griffiths T L, Steyvers M.Finding Scientific Topics[J].Proceedings of the National Academy of Sciences of the United States of America, 2004, 101(S1):5228-5235 http://d.old.wanfangdata.com.cn/NSTLQK/NSTL_QKJJ0212842727/ |