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Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Accelerating phase unwrapping based on integer linear programming by processing of subgraphs
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Postprint urn:nbn:de:0011n4213033 (600 KByte PDF) MD5 Fingerprint: 275426bd3ae87c382363f294603cb81a © IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Erstellt am: 15.11.2016 
 Institute of Electrical and Electronics Engineers IEEE: IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016. Proceedings : 1015 July 2016, Beijing, China Piscataway, NJ: IEEE, 2016 ISBN: 9781509033324 ISBN: 9781509033317 ISBN: 9781509033331 4 S. 
 International Geoscience and Remote Sensing Symposium (IGARSS) <2016, Beijing> 

 Englisch 
 Konferenzbeitrag, Elektronische Publikation 
 Fraunhofer IOSB () 
 InSAR; persistent scatterers; phase unwrapping; integer linear programming 
Abstract
Unwrapping is a crucial step when analyzing ground displacements with InSAR techniques. Formulations of unwrapping as integer linear programming (ILP) problem suitable for PSInSAR were given by Costantini et al. under the name redundant integration of finite differences and by Shanker et al. under the name edge list algorithm. They allow the treatment of "4D"graphs, in the sense of making use of the redundancy both in the PSnet and temporal graph, in a consistent way. This important advantage is paid for by a high computational load, which for large graphs even might prevent the algorithm from finishing in an acceptable time. The approach presented in this paper suggests subdividing the graph into spatiotemporal regions, thereby maintaining the advantage of redundancy, and solving the corresponding ILPs. This results in a considerable acceleration. Besides explaining our approach we report on results obtained for simulated and real data.