Open AccessGRAPH MATCHING FOR THE REGISTRATION OF PERSISTENT SCATTERERS TO OPTICAL OBLIQUE IMAGERY
Author(s) -
Lukas Schack,
Uwe Soergel,
Christian Heipke
Publication year - 2016
Publication title -
isprs annals of the photogrammetry, remote sensing and spatial information sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.356
H-Index - 38
eISSN - 2194-9042
pISSN - 2196-6346
DOI - 10.5194/isprsannals-iii-7-195-2016
Subject(s) - oblique case , matching (statistics) , computer science , computer vision , artificial intelligence , convergence (economics) , graph , key (lock) , task (project management) , nadir , exploit , measure (data warehouse) , remote sensing , topology (electrical circuits) , mathematics , theoretical computer science , geography , data mining , satellite , physics , philosophy , linguistics , statistics , computer security , management , combinatorics , astronomy , economics , economic growth
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