Archiving image sequences considering associated geographical and nongeographical attributes

Stefan Brüstle; Norbert Heinze

doi:10.1117/12.919660

21 June 2012 Archiving image sequences considering associated geographical and nongeographical attributes

Stefan Brüstle, Norbert Heinze

Proceedings Volume 8359, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense XI; 83590Y (2012) https://doi.org/10.1117/12.919660
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

Image sequences (e.g. video) gathered by a sensor mounted on an airborne platform (e.g. UAV) are used today to address many different tasks in various fields of application. Sequences are usually taken to gather information of an area for planning and assessing purposes, to witness any changes and to monitor activities within that area. Image sequences are usually stored as they are taken. In order to perform the above tasks in a post processing step properly, it is necessary to find relevant sequences or subsequences in the huge amount of stored data efficiently. Therefore it is mandatory to store the sequences in a way to enable retrieving any relevant frame or subsequence with respect to a geographical attribute such as e.g. the position of the footprint or a nongeographical attribute such as the date and time gathered or the spectral band of gathered sequence. We have developed a method to store each frame of an image sequence into a spatial relational database in a way that addresses this issue. We further have developed an interface to that database that allows us to retrieve frames and subsequences both employing task specific clients and existing exploitation software systems such as Fraunhofer IOSB's ABUL exploitation station.

Citation Download Citation

Stefan Brüstle and Norbert Heinze "Archiving image sequences considering associated geographical and nongeographical attributes", Proc. SPIE 8359, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense XI, 83590Y (21 June 2012); https://doi.org/10.1117/12.919660

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KEYWORDS

Databases

Sensors

Unmanned aerial vehicles

Image sensors

Video

Visualization

Data modeling

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