Browsing by Subject "Classification (of information)"

Browsing by Subject "Classification (of information)"

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  • Shivakumaraswamy, Ranjith; Beyer, Christian; Unnikrishnan, Vishnu; Ntoutsi, Eirini; Spiliopoulou, Myra (Aachen : RWTH, 2019)
    Active stream learning is frequently used to acquire labels for instances and less frequently to determine which features should be considered as the stream evolves. We introduce a framework for active feature selection, ...
  • Paul, A.; Yang, C.; Breitkopf, U.; Liu, Y.; Wang, Z.; Rottensteiner, F.; Wallner, M.; Verworn, A.; Heipke, C. (London : International Society for Photogrammetry and Remote Sensing, 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 ...
  • Maas, Alina; Alrajhi, M.; Alobeid, A.; Heipke, Christian (London : International Society for Photogrammetry and Remote Sensing, 2017)
    Updating topographic geospatial databases is often performed based on current remotely sensed images. To automatically extract the object information (labels) from the images, supervised classifiers are being employed. ...
  • Paul, A.; Vogt, K.; Rottensteiner, F.; Ostermann, J.; Heipke, C. (London : International Society for Photogrammetry and Remote Sensing, 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, ...
  • Albert, Lena; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2016)
    The goal of this paper is to investigate the maximum level of semantic resolution that can be achieved in an automated land use change detection process based on mono-temporal, multi-spectral, high-resolution aerial image ...
  • Karanja, Faith; Lohmann, Peter (London : International Society for Photogrammetry and Remote Sensing, 2000)
    Most of the studies related to urban environments in developing countries focus mainly on particular aspects e.g.communication, residential, vegetated areas, etc. However, planners who are concerned about urban space ...
  • Klinger, Tobias; Rottensteiner, Franz; Heipke, Christian (Hannover : International Society for Photogrammetry and Remote Sensing, 2014)
    Many tracking systems rely on independent single frame detections that are handled as observations in a recursive estimation framework. If these observations are imprecise the generated trajectory is prone to be updated ...
  • Müller, S.; Büscher, O.; Jandewerth, M. (Hannover : International Society for Photogrammetry and Remote Sensing, 2013)
    On the way to make energy supply independent from fossil resources more and more renewable energy sources have to be explored. Biomass has become an important energy resource during the last years and the consumption is ...
  • Niemeyer, Joachim; Rottensteiner, Franz; Sörgel, Uwe; Heipke, Christian (Göttingen : Copernicus GmbH, 2016)
    We propose a novel hierarchical approach for the classification of airborne 3D lidar points. Spatial and semantic context is incorporated via a two-layer Conditional Random Field (CRF). The first layer operates on a point ...
  • Leichter, Artem; Wittich, Dennis; Rottensteiner, Franz; Werner, Martin; Sester, Monika (London : International Society for Photogrammetry and Remote Sensing, 2018)
    In this work, we consider the exploitation of social media data in the context of Remote Sensing and Spatial Information Sciences. To this end, we explore a way of augmenting and integrating information represented by ...
  • Politz, F.; Sester, M. (London : International Society for Photogrammetry and Remote Sensing, 2019)
    National mapping agencies (NMAs) have to acquire nation-wide Digital Terrain Models on a regular basis as part of their obligations to provide up-to-date data. Point clouds from Airborne Laser Scanning (ALS) are an important ...
  • Schmidt, Alena; Rottensteiner, Franz; Sörgel, Uwe (Hannover : International Society for Photogrammetry and Remote Sensing, 2013)
    Coastal areas are characterized by high spatial and temporal variability. In order to detect undesired changes at early stages, enabling rapid countermeasures to mitigate or minimize potential harm or hazard, a recurrent ...
  • Zhang, Z.; Yang, M.Y.; Zhoua, M. (Hannover : International Society for Photogrammetry and Remote Sensing, 2013)
    Feature fusion of remote sensing images and LiDAR points cloud data, which have strong complementarity, can effectively play the advantages of multi-class features to provide more reliable information support for the remote ...
  • Dorozynski, M.; Clermont, D.; Rottensteiner, F. (Göttingen : Copernicus GmbH, 2019)
    This paper presents a method for the classification of images of silk fabrics with the aim to predict properties such as the placeand time of origin and the production technique. The proposed method was developed in the ...
  • Ziems, M.; Fujimura, H.; Heipke, Christian; Rottensteiner, Franz (London : International Society for Photogrammetry and Remote Sensing, 2010)
    This paper describes a semi-automatic system for road verification from high resolution orthophotos in an urban context. The system combines several road detection and road verification approaches from current literature ...
  • Müller, Sönke; Mota, Guilherme Lucio Abelha; Liedtke, Claus-Eberhard (London : International Society for Photogrammetry and Remote Sensing, 2004)
    The automated interpretation of aerial image data is a task with increasing significance for several applications, e.g. quality control and automatic updating of GIS data, automatic land use change detection, measurement ...
  • Becker, Christian; Breitkopf, Uwe; Büschenfeld, Torsten; Busch, A.; Grünreich, D.; Heipke, Christian; Helmholz, Petra; Müller, S.; Ostermann, Jörn; Pahl, M.; Vogt, Karsten; Ziems, M. (London : International Society for Photogrammetry and Remote Sensing, 2010)
    The usefulness and acceptance of spatial information systems are mainly dependent on the quality of the underlying geodata. This paper describes a system for semiautomatic quality control of existing geospatial data via ...
  • Kawase, Ricardo; Siehndel, Patrick; Pereira Nunes, Bernardo (Amsterdam : Elsevier, 2014)
    The volume of information on the Web is constantly growing. Consequently, finding specific pieces of information becomes a harder task. Wikipedia, the largest online reference Website is beginning to witness this phenomenon. ...
  • Yang, C.; Rottensteiner, F.; Heipke, C. (London : International Society for Photogrammetry and Remote Sensing, 2019)
    Land use and land cover are two important variables in remote sensing. Commonly, the information of land use is stored in geospatial databases. In order to update such databases, we present a new approach to determine the ...
  • Lopes, Giseli Rabello; Leme, Luiz André P. Paes; Pereira Nunes, Bernardo; Casanova, Marco Antonio; Dietze, Stefan (Heidelberg : Springer Verlag, 2014)
    Whenever a dataset t is published on the Web of Data, an exploratory search over existing datasets must be performed to identify those datasets that are potential candidates to be interlinked with t. This paper introduces ...