Welkom...

dr. M. Li (Mengmeng)

Onderzoeker

Expertises

Land Use
Land Use
Aerial Survey
Bayesian Networks
Satellite Imagery
Binary Images
Road
Remote Sensing
Remote Sensing
Learning

Publicaties

Recent
Li, M. (2017). Urban land use extraction from very high resolution remote sensing images. Enschede: University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)
Li, M., De Beurs, K. M., Stein, A., & Bijker, W. (2017). Incorporating Open Source Data for Bayesian Classification of Urban Land Use From VHR Stereo Images. IEEE Journal of selected topics in applied earth observations and remote sensing, 10(11), 4930-4943. DOI: 10.1109/JSTARS.2017.2737702
Xu, Z., Persello, C., Li, M., Wu, L., & Wu, P. (2016). Two-level active learning method for debris detection using VHR satellite imagery and local aerial surveys. In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) : Advancing the understanding of our living planet, 10-15 July 2016, Beijing, China (pp. 3070-3073). IEEE. DOI: 10.1109/IGARSS.2016.7729794
Li, M., Stein, A., Bijker, W., & Zhan, Q. (2016). Region-based urban road extraction from VHR satellite images using Binary Partition Tree. International journal of applied earth observation and geoinformation, 44, 217-225. DOI: 10.1016/j.jag.2015.09.005
Li, M., Stein, A., & Bijker, W. (2016). Urban land use extraction from very high resolution remote sensing images by bayesian network. In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) : Advancing the understanding of our living planet, 10-15 July 2016, Beijing, China (pp. 3334-3337). (IGARSS). Piscataway: IEEE. DOI: 10.1109/IGARSS.2016.7729862

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Contactgegevens

Bezoekadres

Universiteit Twente
Faculteit Geo-Informatie Wetenschappen en Aardobservatie
ITC (gebouwnr. 75), kamer 2-116
Hengelosestraat 99
7514AE  Enschede

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Postadres

Universiteit Twente
Faculteit Geo-Informatie Wetenschappen en Aardobservatie
ITC  2-116
Postbus 217
7500 AE Enschede