GRAPH MATCHING FOR THE REGISTRATION OF PERSISTENT SCATTERERS TO OPTICAL OBLIQUE IMAGERY

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Autoren

  • L. Schack
  • U. Soergel
  • C. Heipke

Externe Organisationen

  • Universität Stuttgart
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)195-202
Seitenumfang8
FachzeitschriftISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Jahrgang3
Ausgabenummer7
PublikationsstatusVeröffentlicht - 7 Juni 2016
Veranstaltung23rd International Society for Photogrammetry and Remote Sensing Congress, ISPRS 2016 - Prague, Tschechische Republik
Dauer: 12 Juli 201619 Juli 2016

Abstract

Matching Persistent Scatterers (PS) to airborne optical imagery is one possibility to augment applications and deepen the understanding of SAR processing and products. While recently this data registration task was done with PS and optical nadir images the alternatively available optical oblique imagery is mostly neglected. Yet, the sensing geometry of oblique images is very similar in terms of viewing direction with respect to SAR. We exploit the additional information coming with these optical sensors to assign individual PS to single parts of buildings. The key idea is to incorporate topology information which is derived by grouping regularly aligned PS at facades and use it together with a geometry based measure in order to establish a consistent and meaningful matching result. We formulate this task as an optimization problem and derive a graph matching based algorithm with guaranteed convergence in order to solve it. Two exemplary case studies show the plausibility of the presented approach.

ASJC Scopus Sachgebiete

Zitieren

GRAPH MATCHING FOR THE REGISTRATION OF PERSISTENT SCATTERERS TO OPTICAL OBLIQUE IMAGERY. / Schack, L.; Soergel, U.; Heipke, C.
in: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Jahrgang 3, Nr. 7, 07.06.2016, S. 195-202.

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Schack, L, Soergel, U & Heipke, C 2016, 'GRAPH MATCHING FOR THE REGISTRATION OF PERSISTENT SCATTERERS TO OPTICAL OBLIQUE IMAGERY', ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Jg. 3, Nr. 7, S. 195-202. https://doi.org/10.5194/isprs-annals-III-7-195-2016
Schack, L., Soergel, U., & Heipke, C. (2016). GRAPH MATCHING FOR THE REGISTRATION OF PERSISTENT SCATTERERS TO OPTICAL OBLIQUE IMAGERY. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 3(7), 195-202. https://doi.org/10.5194/isprs-annals-III-7-195-2016
Schack L, Soergel U, Heipke C. GRAPH MATCHING FOR THE REGISTRATION OF PERSISTENT SCATTERERS TO OPTICAL OBLIQUE IMAGERY. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2016 Jun 7;3(7):195-202. doi: 10.5194/isprs-annals-III-7-195-2016
Schack, L. ; Soergel, U. ; Heipke, C. / GRAPH MATCHING FOR THE REGISTRATION OF PERSISTENT SCATTERERS TO OPTICAL OBLIQUE IMAGERY. in: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2016 ; Jahrgang 3, Nr. 7. S. 195-202.
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abstract = "Matching Persistent Scatterers (PS) to airborne optical imagery is one possibility to augment applications and deepen the understanding of SAR processing and products. While recently this data registration task was done with PS and optical nadir images the alternatively available optical oblique imagery is mostly neglected. Yet, the sensing geometry of oblique images is very similar in terms of viewing direction with respect to SAR. We exploit the additional information coming with these optical sensors to assign individual PS to single parts of buildings. The key idea is to incorporate topology information which is derived by grouping regularly aligned PS at facades and use it together with a geometry based measure in order to establish a consistent and meaningful matching result. We formulate this task as an optimization problem and derive a graph matching based algorithm with guaranteed convergence in order to solve it. Two exemplary case studies show the plausibility of the presented approach.",
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AU - Schack, L.

AU - Soergel, U.

AU - Heipke, C.

N1 - Copyright: Copyright 2019 Elsevier B.V., All rights reserved.

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