Title :
Identification and characterization of railway trains in high resolution TerraSAR-X images
Author :
Schwarz, Gottfried ; Datcu, Mihai
Author_Institution :
Remote Sensing Technol. Inst., DLR Oberpfaffenhofen, Germany
Abstract :
The recognition and analysis of moving targets in SAR images is a well-known topic in remote sensing. The public availability of high resolution SAR satellite images opened new perspectives for space-based small object recognition: traffic monitoring from space has matured into an established technique where the motion characteristics of ships and cars can be extracted routinely. A particular case of traffic monitoring is the search for moving trains in SAR images; here one can locate moving trains, determine their velocity, and identify the type and number of wagons. In the following, we concentrate on features to be extracted from TerraSAR-X images containing commuter trains in the area of Munich, Germany.
Keywords :
feature extraction; geophysical image processing; image motion analysis; image resolution; object recognition; radar imaging; rail traffic; railway rolling stock; remote sensing; spaceborne radar; Germany; Munich; SAR image; car; commuter train; feature extraction; high resolution SAR satellite image; high resolution TerraSAR-X image; motion characteristics; moving target analysis; moving target recognition; moving train location; railway train characterization; railway train identification; remote sensing; ship; space-based small object recognition; traffic monitoring; train velocity; wagon number; wagon type; Feature extraction; Image resolution; Instruments; Radar tracking; Rail transportation; Reflection; Synthetic aperture radar; SAR images; TerraSAR-X; feature extraction; object recognition;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351165