Generating impact maps from automatically detected bomb craters in aerial wartime images using marked point processes

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dc.identifier.uri http://dx.doi.org/10.15488/3442
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/3472
dc.contributor.author Kruse, C.
dc.contributor.author Rottensteiner, Franz
dc.contributor.author Hoberg, T.
dc.contributor.author Ziems, M.
dc.contributor.author Rebke, J.
dc.contributor.author Heipke, Christian
dc.date.accessioned 2018-06-08T11:57:16Z
dc.date.available 2018-06-08T11:57:16Z
dc.date.issued 2018
dc.identifier.citation Kruse, C.; Rottensteiner, F.; Hoberg, T.; Ziems, M.; Rebke, J.; Heipke, C.: Generating impact maps from automatically detected bomb craters in aerial wartime images using marked point processes. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 4 (2018), Nr. 3, S. 127-134. DOI: https://doi.org/10.5194/isprs-annals-IV-3-127-2018
dc.description.abstract The aftermath of wartime attacks is often felt long after the war ended, as numerous unexploded bombs may still exist in the ground. Typically, such areas are documented in so-called impact maps which are based on the detection of bomb craters. This paper proposes a method for the automatic detection of bomb craters in aerial wartime images that were taken during the Second World War. The object model for the bomb craters is represented by ellipses. A probabilistic approach based on marked point processes determines the most likely configuration of objects within the scene. Adding and removing new objects to and from the current configuration, respectively, changing their positions and modifying the ellipse parameters randomly creates new object configurations. Each configuration is evaluated using an energy function. High gradient magnitudes along the border of the ellipse are favored and overlapping ellipses are penalized. Reversible Jump Markov Chain Monte Carlo sampling in combination with simulated annealing provides the global energy optimum, which describes the conformance with a predefined model. For generating the impact map a probability map is defined which is created from the automatic detections via kernel density estimation. By setting a threshold, areas around the detections are classified as contaminated or uncontaminated sites, respectively. Our results show the general potential of the method for the automatic detection of bomb craters and its automated generation of an impact map in a heterogeneous image stock. © Authors 2018. eng
dc.language.iso eng
dc.publisher Göttingen : Copernicus GmbH
dc.relation.ispartof ISPRS TC III Mid-Term Symposium on Developments, Technologies and Applications in Remote Sensing, May 7-10 May 2018, Beijing, China
dc.relation.ispartofseries ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 4 (2018), Nr. 3
dc.rights CC BY 3.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject Aerial Wartime Images eng
dc.subject Bomb Craters eng
dc.subject Marked Point Processes eng
dc.subject RJMCMC eng
dc.subject Simulated Annealing eng
dc.subject.ddc 550 | Geowissenschaften ger
dc.title Generating impact maps from automatically detected bomb craters in aerial wartime images using marked point processes
dc.type article
dc.type Text
dc.type conferenceObject
dc.relation.issn 2194-9042
dc.relation.doi https://doi.org/10.5194/isprs-annals-IV-3-127-2018
dc.bibliographicCitation.issue 3
dc.bibliographicCitation.volume 4
dc.bibliographicCitation.firstPage 127
dc.bibliographicCitation.lastPage 134
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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