Combining a variety of fields, including Lidar, Remote sensing and Point cloud, are what the author presents in his essays. While working in this field, Franz Rottensteiner studies both Remote sensing and Lidar. His Artificial intelligence study frequently links to other fields, such as Conditional random field, Point cloud, Pattern recognition (psychology) and Random forest. Pattern recognition (psychology) and Artificial intelligence are frequently intertwined in his study. He incorporates Data mining and Machine learning in his studies. He integrates Machine learning with Data mining in his research. His study in Evaluation methods extends to Reliability engineering with its themes. As part of his studies on Evaluation methods, he often connects relevant subjects like Reliability engineering. Franz Rottensteiner integrates Database with Data modeling in his study.
His Geometry research is linked to Point (geometry) and Orientation (vector space). In his works, he performs multidisciplinary study on Point (geometry) and Geometry. His work often combines Artificial intelligence and Machine learning studies. In his works, Franz Rottensteiner conducts interdisciplinary research on Machine learning and Artificial intelligence. His research on Remote sensing frequently connects to adjacent areas such as Geospatial analysis. He combines topics linked to Remote sensing with his work on Geospatial analysis. Computer vision is often connected to Multispectral image in his work. Many of his studies involve connections with topics such as Computer vision and Multispectral image. Many of his studies on Image (mathematics) involve topics that are commonly interrelated, such as Contextual image classification.
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Contextual classification of lidar data and building object detection in urban areas
Joachim Niemeyer;Franz Rottensteiner;Uwe Soergel.
Isprs Journal of Photogrammetry and Remote Sensing (2014)
The ISPRS benchmark on urban object classification and 3D building reconstruction
Franz Rottensteiner;Gunho Sohn;Jaewook Jung;Markus Gerke.
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2012)
Using the Dempster–Shafer method for the fusion of LIDAR data and multi-spectral images for building detection
Franz Rottensteiner;John C. Trinder;Simon Clode;Kurt Kubik.
Information Fusion (2005)
A Comparison of Evaluation Techniques for Building Extraction From Airborne Laser Scanning
M. Rutzinger;F. Rottensteiner;N. Pfeifer.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2009)
Results of the ISPRS benchmark on urban object detection and 3D building reconstruction
Franz Rottensteiner;Gunho Sohn;Markus Gerke;Jan Dirk Wegner.
Isprs Journal of Photogrammetry and Remote Sensing (2014)
Automatic generation of high-quality building models from lidar data
F. Rottensteiner.
IEEE Computer Graphics and Applications (2003)
Building detection by fusion of airborne laser scanner data and multi-spectral images : Performance evaluation and sensitivity analysis
Franz Rottensteiner;John Trinder;Simon Clode;Kurt Kubik.
Isprs Journal of Photogrammetry and Remote Sensing (2007)
AUTOMATIC GENERATION OF BUILDING MODELS FROM LIDAR DATA AND THE INTEGRATION OF AERIAL IMAGES
F. Rottensteiner;Ch . Briese.
(2003)
Detection and vectorization of roads from lidar data
Simon Clode;Franz Rottensteiner;Peter J. Kootsookos;Emanuel E. Zelniker.
Photogrammetric Engineering and Remote Sensing (2007)
The Automatic Extraction of Roads from LIDAR data
Simon Clode;Peter J. Kootsookos;Franz Rottensteiner.
The International Society for Photogrammetry and Remote Sensing's Twentieth Annual Congress (2004)
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