Institute
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Prof. Dr.-Ing. Uwe Sörgel

Photo Prof. Dr.-Ing. Uwe Sörgel
Address Institut für Photogrammetrie
Universität Stuttgart
Geschwister-Scholl-Str.24D
70174 Stuttgart
  +49 711 685 83336
  +49 711 685 83297
  4.309
email
Head of institute

 

Prof. Uwe Sörgel is the head of the Institute for Photogrammetry at the Universitaet Stuttgart since 2016.

Publications

Books, Book Chapters, Dissertations

Soergel, Uwe; Wegner, Jan Dirk; Thiele, Antje [2016]
Fusion von optischen und Radardaten. In Band „Photogrammetrie und Fernerkundung“, Christian Heipke (Ed.) – Handbuch der Geodäsie, 6 Bände, Willi Freeden, Reiner Rummel (Eds.). Springer Berlin Heidelberg, ISBN 978-3-662-46900-2.
DOI: 10.1007/978-3-662-46900-2_54-1

Peer Reviewed Journal Papers

Gu, H.; Han, Y.; Yang, Y.; Li, H.; Liu, Z.; Soergel, U.; Blaschke, T. & Cui, S. [2018]
An Efficient Parallel Multi-Scale Segmentation Method for Remote Sensing Imagery. Remote Sens. 2018, 10, 590.
DOI: 10.3390/rs10040590

Kenduiywo, B. K.; Bargiel, D. & Soergel, U. [2018]
Crop-type mapping from a sequence of Sentinel 1 images. International Journal of Remote Sensing.
DOI: 10.1080/01431161.2018.1460503

Schilling, H.; Bulatov, D.; Niessner, R.; Middelmann W. and Soergel, U. [2018]
Detection of Vehicles in Multisensor Data via Multibranch Convolutional Neural Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
DOI: 10.1109/JSTARS.2018.2825099

Schack, L.; Soergel, U. & Heipke, C. [2017]
Assigning Persistent Scatterers of Regular Multi-Story Buildings to Optical Oblique Images. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, (), 1-8.
URL: http://link.springer.com/article/10.1007/s41064-017-0005-4
DOI: 10.1007/s41064-017-0005-4

Gu, H.; Li, H.; Yan, L.; Liu, Z.; Blaschke, T. & Soergel, U. [2017]
An Object-Based Semantic Classification Method for High Resolution Remote Sensing Imagery Using Ontology. Remote Sens. 2017, 9, 329.
DOI: 10.3390/rs9040329

Kenduiywo, B. K.; Bargiel, D. & Soergel, U. [2017]
Higher Order Dynamic Conditional Random Fields Ensemble for Crop Type Classification in Radar Images. IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, Volume 55, Issue: 8, Aug. 2017, pp. 4638-4654.
DOI: 10.1109/TGRS.2017.2695326

Schunert, A. & Soergel, U. [2016]
Assignment of Persistent Scatterers to Buildings. In: IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, Volume 54, Issue 6, pp. 3116-3127.
DOI: 10.1109/TGRS.2015.2511583

Peer Reviewed Conference Papers

Mandlburger, G.; Pfeifer, N. & Soergel, U. [2017]
Water Surface Reconstruction in Airborne Laser Bathymetry from Redundant Bed Observations. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 123-130.
DOI: 10.5194/isprs-annals-IV-2-W4-123-2017

Yang, C.H. & Soergel, U. [2017]
Monitoring of Building Construction by 4D Change Detection Using Multi-temporal SAR Images. ISPRS Annals of The Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-1/W1, pp. 35-42 (ISPRS Hannover Workshop 2017, Hannover, Germany).
DOI: 10.5194/isprs-annals-IV-1-W1-35-2017

Kenduiywo, B. K.; Bargiel, D. & Soergel, U. [2016]
Crop Type Mapping from a Sequence of TerraSAR-X Images with Dynamic Conditional Random Fields. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-7, pp. 59-66.
DOI: 10.5194/isprs-annals-III-5-57-2016

Yang, C.-H.; Kenduiywo, B.K. & Soergel, U. [2016]
4D change detection based on persistent scatterer interferometry. Pattern Recogniton in Remote Sensing (PRRS), 2016 9th IAPR Workshop on Pattern Recogniton in Remote Sensing, Cancun, Mexico. 6p.
DOI: 10.1109/PRRS.2016.7867016

Schack, L.; Soergel, U. & Heipke, C. [2016]
Graph Matching for the Registration of Persistent Scatters to Optical Oblique Imagery. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-7, pp. 195-202.
DOI: 10.5194/isprs-annals-III-7-195-2016

Yang, C.-H.; Kenduiywo, B. K. & Soergel, U. [2016]
Change Detection Based on Persistent Scatterer Interferometry – A New Method of Monitoring Building Changes. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-7, pp. 243-250.
DOI: 10.5194/isprs-annals-III-7-243-2016

Non-reviewed Conference Papers

Yang, C.H. & Soergel, U. [2017]
Urban Monitoring by 4D Change Detection Using Multi-temporal SAR Images. DGPF annual conference, Würzburg, Germany. Publikationen der DGPF, Band 26, 2017. pp. 233-244.

Schmidt, A.; Kruse, C.; Rottensteiner, F.; Soergel, U. & Heipke, C. [2016]
Network Detection in Raster Data Using Marked Point Processes. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, pp. 701-708.
DOI: 10.5194/isprs-archives-XLI-B3-701-2016

Niemeyer, J.; Rottensteiner, F.; Soergel, U. & Heipke, C. [2016]
Hierarchical Higher Order CRF for the Classification of Airborne Lidar Point Clouds in Urban Areas. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, pp. 655-662.
DOI: 10.5194/isprs-archives-XLI-B3-655-2016

Schack, L.; Soergel, U. & Heipke, C. [2016]
Graph matching for the registration of persistent scatterers to optical oblique imagery. Proceedings, Asian Conference on Remote Sensing, Colombo, 8p., on USB-Stick.

Balz, T.; Haala, N. & Soergel, U. [2005]
Combining LIDAR, InSAR, SAR and SAR-Simulation for Change Detection Applications in Cloud-prone Areas. In: 1st Intern. Symposium on Cloude-Prone and Rainy Areas Remote Sensing (CARRS), Hong-Kong, pp. 68-79.