Best Student Awards
Best Oral presentation award: Henri Debray (DLR): Do cities exist in all shapes and sizes? An EO based investigation
Best Poster-pitch video: Sahar Kamalou (K.N.Toosi University of Iran): A novel approach for 3D point cloud de-noising while preserving sharp-features
Best student pitch: Thomas Stark (TUM, DLR): Slum mapping in imbalanced remote sensing datasets using transfer learned deep features.
Best Poster: Nicolas Kraff (DLR): How dynamic are slums? EO-based assessment of Kibera’s morphologic transformation.
The JURSE 2017 best student papers awards were granted respectively to:
1st – Anil Armagan, “Semantic Segmentation for 3D localization in Urban Environments”.
2nd – Nicolas Audebert, “Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling”.
3rd – Marzena Wicht, “Urban ventilation corridors – performance evaluation using remotely sensed data”.
The JURSE 2015 best student papers awards were granted respectively to:
1st – Mitraka Zina, “Spectral Unmixing of urban landsat imagery by means of neural networks”
2nd – Voltersen Michael, “Expanding an urban structure type mapping approach from a sub area to the entire city of Berlin”
3rd – Krehbiel Cole, “Using Web-enabled Landsat data time series to analyze the impacts of urban areas on remotely sensed vegetation dynamics”
The JURSE 2013 best student papers awards were granted respectively to:
1st – Wen Liu, “Building height detection from high-resolution TerraSAR-X imagery and GIS data”.
2nd – Simona Verde, “Toward SAR coherence tomography for analysis of urban areas”.
3rd – Kanika Goel, “Advanced stacking of TerraSAR-X and TanDEM-X data in complex urban areas”.
The JURSE 2011 best student papers awards were granted respectively to:
1st – T.R. Tooke, “Classification of residential building architectural typologies using LiDAR”
2nd – D. Reale. “A scatterers detection scheme in SAR tomography for reconstruction and monitoring of individual buildings”
3rd – Y. Wang. “Advanced coherence stacking technique using high resolution TerraSAR-X spotlight data”
4rd – H. Thuni. “Deformation monitoring from high-resolution SAR images in Shanghai Pudong areag. Land use/ land cover classification for applied urban planning – the challenge of automation
5rd – C. Geiss. “Comparison of selected impervious surface products derived from remote sensing data – A case study for the city of Munich”
6rd – P. Iervolino. “A new local approach for flooding level estimation in urban areas using single SAR images”
7rd – S. Uhlman. “Polarimetric SAR images classification using collective network of binary classifiers”
8rd – X. Niu. “RADARSAT-2 polarimetric SAR data for urban land cover mapping using spatial-temporal SEM algorithm and mixture models”
9rd – PTB Brett. “Bright line detection in COSMO-SkyMed SAR images of urban areas”
10rd – L. Wei. “Deformation monitoring from high-resolution SAR images in Shanghai Pudong area”
- Dr. Argyro Kavvada
- Johnny Miller
- Carlos H. Jaramillo
- Xiaoxiang Zhu (German Aerospace Center (DLR))
- Karen Seto (Yale University)
- Florence Tupin (Université Paris-Saclay)
- Peter Wonka (King Abdullah University of Science and Technology (KAUST)), “Encoding prior knowledge for Urban reconstruction.”
- Qihao Weng (Indiana State University), ” Time series Image Analysis for Urbanization Studies”
- Noel Gorelic (Google), “The Google Earth Engine“
- Fabio Pacifici (DigitalGlobe Inc.), “An overview on the status of the geospatial industry and future perspectives”
- Florent Lafarge (INRIA), “Urban reconstruction from the airborne data: how to combine semantics and geometry?”
- Andrew J. Tatem (University of South Hampton), “Urban remote sensing in spatial epidemiology”
- Hannes Taubenböck (German Aerospace Centre – DLR, Germany), “Quo vadis Urban Remote Sensing? – A critical discussion on the status quo of our community”
- Surv. Eng. Peter Noble (Director of PSN Surveying, Sydney, Australia), “3D North Sydney Project – Urban mapping and modeling for local government administration”
- Massimo Rumor (University of Padova | UNIP) “Remote Sensing for urban applications”
- J. Benediktsson (University of Iceland), “Classification of urban remote sensing imagery based on mathematical morphology”
- C. Elvidge (NOAA), “Change detection in satellite observed nighttime lights: 1992-2003.”
- G. Hepner (ASPRS), “Trends in the U.S. Remote Sensing Industry Forecast – Implications for Urban Remote Sensing.”
Past Special Issues of JURSE