Peter Reinartz
Peter Reinartz
Head of Department at German Aerospace Center (DLR), Prof. at University of Osnabrueck
Verified email at dlr.de
Title
Cited by
Cited by
Year
Mutual-information-based registration of TerraSAR-X and Ikonos imagery in urban areas
S Suri, P Reinartz
IEEE Transactions on Geoscience and Remote Sensing 48 (2), 939-949, 2009
2602009
Building Change Detection Based on Satellite Stereo Imagery and Digital Surface Models
J Tian, S Cui, P Reinartz
Transactions on Geoscience and Remote Sensing, IEEE 52 (1), 406-417, 2014
1802014
Airborne vehicle detection in dense urban areas using HoG features and disparity maps
S Tuermer, F Kurz, P Reinartz, U Stilla
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013
1762013
Applicability of the SIFT operator to geometric SAR image registration
P Schwind, S Suri, P Reinartz, A Siebert
International Journal of Remote Sensing 31 (8), 1959-1980, 2010
1632010
Towards multi-class object detection in unconstrained remote sensing imagery
SM Azimi, E Vig, R Bahmanyar, M Körner, P Reinartz
Asian Conference on Computer Vision, 150-165, 2018
1312018
3D change detection–approaches and applications
R Qin, J Tian, P Reinartz
ISPRS Journal of Photogrammetry and Remote Sensing 122, 41-56, 2016
1292016
Traffic monitoring with serial images from airborne cameras
P Reinartz, M Lachaise, E Schmeer, T Krauss, H Runge
ISPRS Journal of Photogrammetry and Remote Sensing 61 (3-4), 149-158, 2006
1102006
Adaptive shadow detection using a blackbody radiator model
A Makarau, R Richter, R Muller, P Reinartz
IEEE Transactions on Geoscience and Remote Sensing 49 (6), 2049-2059, 2011
1012011
Estimating satellite-derived bathymetry (SDB) with the Google Earth Engine and sentinel-2
D Traganos, D Poursanidis, B Aggarwal, N Chrysoulakis, P Reinartz
Remote Sensing 10 (6), 859, 2018
982018
Haze Detection and Removal in Remotely Sensed Multispectral Imagery
A Makarau, R Richter, R Muller, P Reinartz
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 52 (9), 5895-5905, 2014
982014
Mapping Mediterranean seagrasses with Sentinel-2 imagery
D Traganos, P Reinartz
Marine pollution bulletin 134, 197-209, 2018
932018
An operational system for estimating road traffic information from aerial images
J Leitloff, D Rosenbaum, F Kurz, O Meynberg, P Reinartz
Remote Sensing 6 (11), 11315-11341, 2014
932014
Semiglobal matching results on the ISPRS stereo matching benchmark
P d'Angelo, P Reinartz
Institute of Photogrammetry and GeoInformation, Leibniz Universität Hannover, 2011
862011
Region-based automatic building and forest change detection on Cartosat-1 stereo imagery
J Tian, P Reinartz, P d’Angelo, M Ehlers
ISPRS Journal of Photogrammetry and Remote Sensing 79, 226-239, 2013
822013
Modifications in the SIFT operator for effective SAR image matching
S Suri, P Schwind, J Uhl, P Reinartz
International Journal of Image and Data Fusion 1 (3), 243-256, 2010
802010
A program for direct georeferencing of airborne and spaceborne line scanner images
R Muller, M Lehner, R Muller, P Reinartz, M Schroeder, B Vollmer
International Archives of Photogrammetry Remote Sensing and Spatial …, 2002
792002
Exploring the potential of conditional adversarial networks for optical and SAR image matching
N Merkle, S Auer, R Müller, P Reinartz
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
762018
Accuracy analysis for DSM and orthoimages derived from SPOT HRS stereo data using direct georeferencing
P Reinartz, R Müller, M Lehner, M Schroeder
ISPRS journal of photogrammetry and remote sensing 60 (3), 160-169, 2006
742006
Orthorectification of VHR optical satellite data exploiting the geometric accuracy of TerraSAR-X data
P Reinartz, R Müller, P Schwind, S Suri, R Bamler
ISPRS Journal of Photogrammetry and Remote Sensing 66 (1), 124-132, 2011
732011
Towards global-scale seagrass mapping and monitoring using Sentinel-2 on Google Earth Engine: The case study of the aegean and ionian seas
D Traganos, B Aggarwal, D Poursanidis, K Topouzelis, N Chrysoulakis, ...
Remote Sensing 10 (8), 1227, 2018
682018
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