מאמרים עם הרשאות לגישה ציבורית - Christian Heipkeלמידע נוסף
לא זמינים באתר כלשהו: 4
Conditional random fields for multitemporal and multiscale classification of optical satellite imagery
T Hoberg, F Rottensteiner, RQ Feitosa, C Heipke
IEEE Transactions on Geoscience and Remote Sensing 53 (2), 659-673, 2014
הרשאות: German Research Foundation
Derivation of planetary topography using multi-image shape-from-shading
V Lohse, C Heipke, RL Kirk
Planetary and space science 54 (7), 661-674, 2006
הרשאות: German Research Foundation
A label noise tolerant random forest for the classification of remote sensing data based on outdated maps for training
AE Maas, F Rottensteiner, C Heipke
Computer Vision and Image Understanding 188, 102782, 2019
הרשאות: German Research Foundation
3d pedestrian tracking using local structure constraints
U Nguyen, C Heipke
ISPRS Journal of Photogrammetry and Remote Sensing 166, 347-358, 2020
הרשאות: German Research Foundation
זמינים באתר כלשהו: 49
Integration of heterogeneous geospatial data in a federated database
M Butenuth, G Gösseln, M Tiedge, C Heipke, U Lipeck, M Sester
ISPRS Journal of Photogrammetry and Remote Sensing 62 (5), 328-346, 2007
הרשאות: German Research Foundation
Classification of land cover and land use based on convolutional neural networks
C Yang, F Rottensteiner, C Heipke
ISPRS annals of the photogrammetry, remote sensing and spatial information …, 2018
הרשאות: German Research Foundation
Modelling of buildings from aerial LiDAR point clouds using TINs and label maps
M Li, F Rottensteiner, C Heipke
ISPRS Journal of Photogrammetry and Remote Sensing 154, 127-138, 2019
הרשאות: National Natural Science Foundation of China
Integrity and collaboration in dynamic sensor networks
S Schön, C Brenner, H Alkhatib, M Coenen, H Dbouk, ...
Sensors 18 (7), 2400, 2018
הרשאות: German Research Foundation
Road extraction in suburban areas based on normalized cuts
A Grote, M Butenuth, C Heipke
International Archives of Photogrammetry and Remote Sensing 36 (part 3), W49A, 2007
הרשאות: German Research Foundation
Road extraction for the update of road databases in suburban areas
A Grote, C Heipke
International Archives of Photogrammetry and Remote Sensing 37 (3), 563-568, 2008
הרשאות: German Research Foundation
Towards better classification of land cover and land use based on convolutional neural networks
C Yang, F Rottensteiner, C Heipke
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019
הרשאות: German Research Foundation
Confidence-aware pedestrian tracking using a stereo camera
U Nguyen, F Rottensteiner, C Heipke
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2019
הרשאות: German Research Foundation
Classification under label noise based on outdated maps
A Maas, F Rottensteiner, C Heipke
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2017
הרשאות: German Research Foundation
Road extraction in suburban areas by region-based road subgraph extraction and evaluation
A Grote, C Heipke, F Rottensteiner, H Meyer
2009 Joint Urban Remote Sensing Event, 1-6, 2009
הרשאות: German Research Foundation
ConsInstancy: learning instance representations for semi-supervised panoptic segmentation of concrete aggregate particles
M Coenen, T Schack, D Beyer, C Heipke, M Haist
Machine Vision and Applications 33 (4), 57, 2022
הרשאות: Federal Ministry of Education and Research, Germany
Supervised detection of bomb craters in historical aerial images using convolutional neural networks
D Clermont, C Kruse, F Rottensteiner, C Heipke
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019
הרשאות: European Commission
Context models for CRF-based classification of multitemporal remote sensing data
T Hoberg, F Rottensteiner, C Heipke
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2012
הרשאות: German Research Foundation
Classification of multitemporal remote sensing data using conditional random fields
T Hoberg, F Rottensteiner, C Heipke
2010 IAPR Workshop on Pattern Recognition in Remote Sensing, 1-4, 2010
הרשאות: German Research Foundation
Image-based deep learning for rheology determination of bingham fluids
A Ponick, A Langer, D Beyer, M Coenen, M Haist, C Heipke
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2022
הרשאות: Federal Ministry of Education and Research, Germany
Digitization of the concrete production chain using computer vision and artificial intelligence
M Haist, C Heipke, D Beyer, M Coenen, T Schack, C Vogel, A Ponick, ...
Proceedings of the 6th fib Congress, 434-443, 2022
הרשאות: German Research Foundation, Federal Ministry of Education and Research, Germany
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