@inproceedings{Rosenbaum2011,
	author = {Dominik Rosenbaum and Michael Behrisch and Jens Leitloff and Franz Kurz and Oliver Meynberg and Tanja Reize and Peter Reinartz},
	booktitle = {EOGC 2011},
	title = {An airborne camera system for rapid mapping in case of disaster and mass events},
	year = {2011},
	month = {April},
	abstract = {Here we present an airborne optical camera system with an extended
	image processing unit onboard the aircraft and a radio data downlink.
	With all these components the system is well suited for rapid mapping
	applications in case of mass events and disaster. The image processing
	unit provides the possibility of direct orthorectification/georeferencing
	of the aerial images by the use of an IMU/GPS real-time navigation
	system without the use of ground control points. Furthermore thematic
	processing algorithms implemented to the image processing unit can
	analyse orthoimages e.g. for road traffic data content, people density
	and movement during mass events or DSM generation and 3D analysis
	directly onboard the aircraft. Resulting data and images can be transmitted
	to the ground via radio data downlink immediately. Road traffic data
	is used at the ground station in a traffic simulation for filling
	coverage gaps and traffic forecast. All in all, the system forms
	a powerful tool to operation controllers of security authorities
	and organizations in case of mass events or disasters.},
	groups = {used, VABENE, surveillance, airborne, cameras, forecast, TS, MF, assigned2groups},
	journal = {Proceedings of the Earth Observation for Global Change 2011 - EOGC 2011 (Munich, Germany, 2011-04-13 to 2011-04-15)},
	keywords = {Rapid Mapping, Monitoring, Recognition, Orthorectification, Georeferencing, Image, Pattern, Sequences},
	owner = {Daniel},
	timestamp = {2011.12.02},
	url = {http://elib.dlr.de/70510/}
}

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With all these components the system is well suited for rapid mapping applications in case of mass events and disaster. The image processing unit provides the possibility of direct orthorectification/georeferencing of the aerial images by the use of an IMU/GPS real-time navigation system without the use of ground control points. Furthermore thematic processing algorithms implemented to the image processing unit can analyse orthoimages e.g. for road traffic data content, people density and movement during mass events or DSM generation and 3D analysis directly onboard the aircraft. Resulting data and images can be transmitted to the ground via radio data downlink immediately. Road traffic data is used at the ground station in a traffic simulation for filling coverage gaps and traffic forecast. All in all, the system forms a powerful tool to operation controllers of security authorities and organizations in case of mass events or disasters.","groups":"used, VABENE, surveillance, airborne, cameras, forecast, TS, MF, assigned2groups","journal":"Proceedings of the Earth Observation for Global Change 2011 - EOGC 2011 (Munich, Germany, 2011-04-13 to 2011-04-15)","keywords":"Rapid Mapping, Monitoring, Recognition, Orthorectification, Georeferencing, Image, Pattern, Sequences","owner":"Daniel","timestamp":"2011.12.02","url":"http://elib.dlr.de/70510/","bibtex":"@inproceedings{Rosenbaum2011,\n\tauthor = {Dominik Rosenbaum and Michael Behrisch and Jens Leitloff and Franz Kurz and Oliver Meynberg and Tanja Reize and Peter Reinartz},\n\tbooktitle = {EOGC 2011},\n\ttitle = {An airborne camera system for rapid mapping in case of disaster and mass events},\n\tyear = {2011},\n\tmonth = {April},\n\tabstract = {Here we present an airborne optical camera system with an extended\n\timage processing unit onboard the aircraft and a radio data downlink.\n\tWith all these components the system is well suited for rapid mapping\n\tapplications in case of mass events and disaster. The image processing\n\tunit provides the possibility of direct orthorectification/georeferencing\n\tof the aerial images by the use of an IMU/GPS real-time navigation\n\tsystem without the use of ground control points. Furthermore thematic\n\tprocessing algorithms implemented to the image processing unit can\n\tanalyse orthoimages e.g. for road traffic data content, people density\n\tand movement during mass events or DSM generation and 3D analysis\n\tdirectly onboard the aircraft. Resulting data and images can be transmitted\n\tto the ground via radio data downlink immediately. Road traffic data\n\tis used at the ground station in a traffic simulation for filling\n\tcoverage gaps and traffic forecast. All in all, the system forms\n\ta powerful tool to operation controllers of security authorities\n\tand organizations in case of mass events or disasters.},\n\tgroups = {used, VABENE, surveillance, airborne, cameras, forecast, TS, MF, assigned2groups},\n\tjournal = {Proceedings of the Earth Observation for Global Change 2011 - EOGC 2011 (Munich, Germany, 2011-04-13 to 2011-04-15)},\n\tkeywords = {Rapid Mapping, Monitoring, Recognition, Orthorectification, Georeferencing, Image, Pattern, Sequences},\n\towner = {Daniel},\n\ttimestamp = {2011.12.02},\n\turl = {http://elib.dlr.de/70510/}\n}\n\n\n","author_short":["Rosenbaum, D.","Behrisch, M.","Leitloff, J.","Kurz, F.","Meynberg, O.","Reize, T.","Reinartz, P."],"key":"Rosenbaum2011","id":"Rosenbaum2011","bibbaseid":"rosenbaum-behrisch-leitloff-kurz-meynberg-reize-reinartz-anairbornecamerasystemforrapidmappingincaseofdisasterandmassevents-2011","role":"author","urls":{"Paper":"http://elib.dlr.de/70510/"},"keyword":["Rapid Mapping","Monitoring","Recognition","Orthorectification","Georeferencing","Image","Pattern","Sequences"],"metadata":{"authorlinks":{}},"downloads":7},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/eclipse/sumo/main/docs/sumo.bib","downloads":7,"keywords":["rapid mapping","monitoring","recognition","orthorectification","georeferencing","image","pattern","sequences"],"search_terms":["airborne","camera","system","rapid","mapping","case","disaster","mass","events","rosenbaum","behrisch","leitloff","kurz","meynberg","reize","reinartz"],"title":"An airborne camera system for rapid mapping in case of disaster and mass events","year":2011,"dataSources":["66NTXxZwo8WZwAFCa","n7xZzbjha4s6NhjNG"]}