Auflistung Fakultät für Bauingenieurwesen und Geodäsie nach Autor/in "09838c9b-1cb7-47d9-9e96-90bdd5a8c77b"

Auflistung Fakultät für Bauingenieurwesen und Geodäsie nach Autor/in "09838c9b-1cb7-47d9-9e96-90bdd5a8c77b"

Sortiert nach: Sortierung: Ergebnisse:

  • Automatic classification of aerial imagery for urban hydrological applications 
    Paul, A.; Yang, C.; Breitkopf, U.; Liu, Y.; Wang, Z.; Rottensteiner, F.; Wallner, M.; Verworn, A.; Heipke, C. (Göttingen : Copernicus GmbH, 2018)
    In this paper we investigate the potential of automatic supervised classification for urban hydrological applications. In particular, we contribute to runoff simulations using hydrodynamic urban drainage models. In order ...
  • Bedoi: Benchmarks For Determining Overlapping Images With Photogrammetric Information 
    Zhan, H.; Yu, Y.F.; Xu, Y.W.; Hou, Q.B.; Xia, R.; Wang, X.; Feng, Y.; Zhan, Z.Q.; Li, M.L.; Gruber, M.; Hänsch, R.; Heipke, C. (Katlenburg-Lindau : Copernicus Publications, 2023)
    For conventional SfM pipeline, image matching is enduring limitation when considering the time efficiency. In the last few years, to speed up image matching procedure, many image retrieval works were proposed to fast find ...
  • Bifocal stereo for multipath person re-identification 
    Blott, G.; Heipke, C. (Göttingen : Copernicus GmbH, 2017)
    This work presents an approach for the task of person re-identification by exploiting bifocal stereo cameras. Present monocular person re-identification approaches show a decreasing working distance, when increasing the ...
  • CNN-based multi-scale hierarchical land use classification for the verification of geospatial databases 
    Yang, C.; Rottensteiner, F.; Heipke, C. (Katlenburg-Lindau : Copernicus Publications, 2021)
    Land use is an important piece of information with many applications. Commonly, land use is stored in geospatial databases in the form of polygons with corresponding land use labels and attributes according to an object ...
  • A comparison of two strategies for avoiding negative transfer in domain adaptation based on logistic regression 
    Paul, A.; Vogt, K.; Rottensteiner, F.; Ostermann, J.; Heipke, C. (Göttingen : Copernicus GmbH, 2018)
    In this paper we deal with the problem of measuring the similarity between training and tests datasets in the context of transfer learning (TL) for image classification. TL tries to transfer knowledge from a source domain, ...
  • Confidence-aware pedestrian tracking using a stereo camera 
    Nguyen, U.; Rottensteiner, F.; Heipke, C. (Göttingen : Copernicus GmbH, 2019)
    Pedestrian tracking is a significant problem in autonomous driving. The majority of studies carries out tracking in the image domain, which is not sufficient for many realistic applications like path planning, collision ...
  • Cooperative localisation using image sensors in a dynamic traffic scenario 
    Trusheim, P.; Chen, Y.; Rottensteiner, F.; Heipke, C. (Katlenburg-Lindau : Copernicus Publications, 2021)
    Localisation is one of the key elements in navigation. Especially due to the development in automated driving, precise and reliable localisation becomes essential. In this paper, we report on different cooperation approaches ...
  • A Debiasing Variational Autoencoder for Deforestation Mapping 
    Ortega Adarme, M.X.; Soto Vega, P.J.; Costa, G.A.O.P.; Feitosa, R.Q.; Heipke, C. (Katlenburg-Lindau : Copernicus Publications, 2023)
    Deep Learning (DL) algorithms provide numerous benefits in different applications, and they usually yield successful results in scenarios with enough labeled training data and similar class proportions. However, the labeling ...
  • DMC practical experience and accuracy assessment 
    Madani, M.; Dörstel, C.; Heipke, C.; Jacobsen, K. (Göttingen : Copernicus GmbH, 2004)
    Accuracy of digital image data is expected to be better or at least the same as for analogue images. Since Z/I introduced its Digital Mapping Camera (DMC) into the market in early 2003, multiple projects have successfully ...
  • Enhancing The Quality Of CNN-Based Burned Area Detection In Satellite Imagery Through Data Augmentation 
    Hnatushenko, V.; Hnatushenko, V.; Soldatenko, D.; Heipke, C. (Katlenburg-Lindau : Copernicus Publications, 2023)
    This study aims to enhance the quality of detecting burned areas in satellite imagery using deep learning by optimizing the training dataset volume through the application of various augmentation methods. The study analyzes ...
  • Integrating Motion Priors For End-To-End Attention-Based Multi-Object Tracking 
    Ali, R.; Mehltretter, M.; Heipke, C. (Katlenburg-Lindau : Copernicus Publications, 2023)
    Recent advancements in multi-object tracking (MOT) have heavily relied on object detection models, with attention-based models like DEtection TRansformer (DETR) demonstrating state-of-the-art capabilities. However, the ...
  • Investigating 2d and 3d convolutions for multitemporal land cover classification using remote sensing images 
    Voelsen, M.; Teimouri, M.; Rottensteiner, F.; Heipke, C. (Katlenburg-Lindau : Copernicus Publications, 2022)
    With the availability of large amounts of satellite image time series (SITS), the identification of different materials of the Earth's surface is possible with a high temporal resolution. One of the basic tasks is the ...
  • Investigations on feature similarity and the impact of training data for land cover classification 
    Voelsen, M.; Lobo Torres, D.; Feitosa, R.Q.; Rottensteiner, F.; Heipke, C. (Katlenburg-Lindau : Copernicus, 2021)
    Fully convolutional neural networks (FCN) are successfully used for pixel-wise land cover classification - the task of identifying the physical material of the Earth's surface for every pixel in an image. The acquisition ...
  • An iterative inference procedure applying conditional random fields for simultaneous classification of land cover and land use 
    Albert, L.; Rottensteiner, F.; Heipke, C. (Katlenburg-Lindau : Copernicus Publications, 2015)
    Land cover and land use exhibit strong contextual dependencies. We propose a novel approach for the simultaneous classification of land cover and land use, where semantic and spatial context is considered. The image sites ...
  • Joint 3D estimation of vehicles and scene flow 
    Menze, M.; Heipke, C.; Geiger, A. (Katlenburg-Lindau : Copernicus Publications, 2015)
    driving. While much progress has been made in recent years, imaging conditions in natural outdoor environments are still very challenging for current reconstruction and recognition methods. In this paper, we propose a novel ...
  • Learning to Sieve: Prediction of Grading Curves from Images of Concrete Aggregate 
    Coenen, M.; Beyer, D.; Heipke, C.; Haist, M. (Katlenburg-Lindau : Copernicus Publications, 2022)
    A large component of the building material concrete consists of aggregate with varying particle sizes between 0.125 and 32 mm. Its actual size distribution significantly affects the quality characteristics of the final ...
  • The mapping performance of the HRSC / SRC in mars ORBIT 
    Oberst, J.; Roatsch, T.; Giese, B.; Wählisch, M.; Scholten, F.; Gwinner, K.; Matz, K.-D.; Hauber, E.; Jaumann, R.; Albertz, J.; Gehrke, S.; Heipke, C.; Schmidt, R.; Ebner, H.; Spiegel, M.; Van Gasselt, S.; Neukum, G. (Göttingen : Copernicus GmbH, 2004)
    The images obtained by the HRSC (High Resolution Stereo Camera) on Mars Express show excellent potential for topographic mapping of the planet. The derived stereo models agree with topographic data obtained earlier by MOLA ...
  • Marked point processes for the automatic detection of bomb craters in aerial wartime images 
    Kruse, C.; Rottensteiner, F.; Heipke, C. (Göttingen : Copernicus, 2019)
    Many countries were the target of air strikes during the Second World War. The aftermath of such attacks is felt until today, as numerous unexploded bombs or duds still exist in the ground. Typically, such areas are ...
  • Mounting calibration of a multi-view camera system on a uav platform 
    Mohammadi, M.; Khami, A.; Rottensteiner, F.; Neumann, I.; Heipke, C. (Katlenburg-Lindau : Copernicus, 2021)
    Multi-view camera systems are used more and more frequently for applications in close-range photogrammetry, engineering geodesy and autonomous navigation, since they can cover a large portion of the environment and are ...
  • Precise Vehicle reconstruction for autonomous driving applications 
    Coenen, M.; Rottensteiner, F.; Heipke, C. (Göttingen : Copernicus GmbH, 2019)
    Interactive motion planing and collaborative positioning will play a key role in future autonomous driving applications. For this purpose, the precise reconstruction and pose estimation of other traffic participants, ...

Suche im Repositorium


Durchblättern

Mein Nutzer/innenkonto

Nutzungsstatistiken