馬磊，男，博士，德國洪堡學者（Humboldt Research Fellow），德州理工大學博士後，註冊測繪師。南京大學地理與海洋科學學院特任副研究員。主要從事面向對象高分遙感圖像處理、中分遙感時間序列分析、GIS套用等研究。
基本介紹
- 中文名：馬磊
- 國籍：中國
- 民族：漢
- 職業：特任副研究員
- 畢業院校：南京大學
- 學位/學歷：博士
主要經歷,主要貢獻,獲獎記錄,代表性論著,承擔項目,
主要經歷
2018.01 - ，南京大學，特任副研究員
2016.06 - 2017.12 ，南京大學，助理研究員
2014.12 - 2015.12 ，薩爾茨堡大學（奧地利），聯合培養博士
2012.07 - 2016.06 ，南京大學，博士
2011.06 - 2012.06 ，德陽市建設局，工程師
2008.09 - 2011.06 ，西南交通大學，碩士
2004.09 - 2008.06 ，西南交通大學，本科
主要貢獻
在從事的高分遙感圖像處理研究領域，重點關注面向對象遙感影像分析技術，在國際上撰寫並發表了關於面向對象遙感影像監督分類的綜述論文，闡述了面向對象監督分類理論體系，系統論證了面向對象遙感影像分析的不確定性機制。主持或參與美國地質調查局地表覆蓋連續變化監測項目（USGS-NASA Landsat Science Team Program）、國家自然科學基金青年科學基金項目、江蘇省青年基金項目、中國博士後科學基金、國家公派研究生項目等國家和部省級多個項目。已發表SCI論文18篇，其中1作10篇、通作3篇、ESI高引論文1篇（1%）、高下載論文1篇（遙感1區Top期刊）。發表論文被引280次，單篇最高被引51次，H因子11。申請或授權國家發明專利9件、登記軟體著作權5項。擔任國際期刊《Remote Sensing》客座編輯，受邀為《Remote Sensing of Environment》、《Remote Sensing》、《IEEE JSARS》、《European Journal of Remote Sensing》、《International Journal of Digital Earth》等10餘種國際期刊審稿。獲德國洪堡獎學金、江蘇省優秀博士學位論文等獎勵。
獲獎記錄
2018，德國洪堡獎學金
2017，江蘇省優秀博士學位論文
2016，“南京大學優秀博士研究生創新能力提升計畫”優秀項目
2013，博士研究生國家獎學金
2012，西南交通大學優秀碩士論文
代表性論著
[1] Ma, L., Li, M. C., Ma, X. X. A review of supervised object-based land-cover image classification. ISPRS Journal of Photogrammetry and Remote Sensing, 130, 277-293. (期刊高下載)
[2] Ma, L., Cheng, L., Li, M. C., Liu, Y., Ma, X. X. (2015): Training set size, scale, and features in Geographic Object-Based Image Analysis of very high resolution unmanned aerial vehicle imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 102, 14-27.
[3] Li, M. C., Ma, L.*, Blaschke, T., Cheng, L., Tiede, D. (2016): A systematic comparison of different object-based classification techniques using high spatial resolution imagery. International Journal of Applied Earth Observation and Geoinformation, 49, 87-98. (ESI 高引, 2017年7/8月統計數據)
[4] Ma, L., Fu, T. Y., Li, M. C. (2018): Active learning for object-based image classification using predefined training objects. International Journal of Remote Sensing, 39:9, 2746-2765.
[5] Ma, L., Li, M. C., Blaschke, T., Ma, X. X., Tiede, D., Cheng, L., Chen, Z. J., Chen, D. (2016): Object-Based Change Detection in urban areas: the effects of segmentation strategy, scale, and feature space on unsupervised methods.Remote Sensing, 8(9), 761.
[6] Ma, L., Gao, Y., Fu, T., Cheng, L., Chen, Z., Li, M. (2017): Estimation of Ground PM2.5 Concentrations using a DEM-assisted Information Diffusion Algorithm: A Case Study in China. Scientific Reports, 7, 15556.
[7] Ma, L., Li, M. C., Gao, Y., Chen, T., Ma, X. X., Qu, L. A. (2017): A novel wrapper approach for feature selection in object-based image classification using ppolygon-based cross-validation. IEEE Geoscience and Remote Sensing Letters, 14(3), 409-413.
[8] Ma, L., Cheng, L., Han, W. Q., Zhong, L. S., Li, M. C. (2014): Cultivated land information extraction from high-resolution unmanned aerial vehicle imagery data. Journal of Applied Remote Sensing, 8, 1-25.
[9] Ma, L., Li, Y. S., Liang, L., Li, M. C., Cheng, L. (2013): A novel method of quantitative risk assessment based on grid difference of pipeline sections. Safety Science, 59, 219-226.
[10] Ma, L., Cheng, L., Li, M. C. (2013): Lei Ma, Liang Cheng, Manchun Li. Quantitative risk analysis of urban natural gas pipeline networks using geographical information systems. Journal of Loss Prevention in the Process Industries, 26, 1183-1192.
[11] Ma, L., Fu, T. Y., Blaschke, T., Li, M. C., Tiede, D., Zhou, Z. J., Ma, X. X., Chen, D. (2017): Evaluation of feature selection methods for object-based land cover mapping of Unmanned Aerial Vehicle imagery using Random Forest and Support Vector Machine classifiers.ISPRS International Journal of Geo-Information, 6(2), 51/1-51/22.
[12] Cheng, L., Li, S., Ma, L.*, Li, M. C., Ma, X. X. (2015): Fire spread simulation using GIS: Aiming at urban natural gas pipeline. Safety Science, 75, 23-35.
[13] Gao, Y., Ma, L.*, Liu, J. X., Zhuang, Z. Z., Huang, Q. H., Li, M. C. (2017): Constructing Ecological Networks Based on Habitat Quality Assessment: A Case Study of Changzhou, China. Scientific Reports, 7, 46073.
[14] Cheng, L., Ma, L., Yang, K., Liu, Y. X., Li, M. C. (2013): Registration of Mars remote sensing images under the crater constraint. Planetary and Space Science, 2013, 85, 13-23.
[15] Cheng, L., Ma, L., Cai, W. T., Tong, L. H., Li, M. C., Du, P. J. (2013): Integration of Hyperspectral imagery and sparse sonar data for shallow water bathymetry mapping. IEEE Transactions on Geoscience and Remote Sensing, 2014, 53(6), 3235-3249.
[16] Liu, Y., Hu, C., Zhan, W., Sun, C., Murch, B., & Ma, L. (2018): Identifying industrial heat sources using time-series of the VIIRS Nightfire product with an object-oriented approach. Remote Sensing of Environment, 204, 347-365.
[17] Ma, X. X., Wang, L. C., Ma, L., Zhang, Y. Q. (2015): Effects on sediments following water–sediment regulations in the Lixia River watershed, China. Quaternary International, 2015, 380/381, 334-341.
[18] Ma, X. X., Wang, L. C., Wu, H., Li, N., Ma, L., Zeng, C. F., Zhou, Y., Yang, J. (2015): Impact of Yangtze river water transfer on the water quality of the Lixia river watershed, China. Plos One, 10, e119720.
承擔項目
2017-2021，國家重點研發項目子課題，南海情勢推演與決策支持系統，主持
2018-2020，國家自然科學基金項目，面向對象高分遙感影像分類的不確定性及模型最佳化研究，主持
2017-2020，江蘇省青年基金項目，基於機器學習的面向對象遙感影像分類方法研究，主持
2017-2018，中國博士後科學基金特別資助項目，南海島礁面向對象遙感變化監測研究，主持
2016-2018，中國博士後科學基金面上資助項目(一等資助)，面向對象遙感影像分析的不確定性研究，主持
2017-2018，江蘇省博士後資助項目，面向對象高分遙感影像分析範式研究，主持
2017-2017，中央高校基本科研業務費項目，南京大學國家自然科學基金培育項目，主持
