Auflistung Fakultät für Bauingenieurwesen und Geodäsie nach Autor/in "98257251-820a-456d-96f9-58077fc88d22"

Auflistung Fakultät für Bauingenieurwesen und Geodäsie nach Autor/in "98257251-820a-456d-96f9-58077fc88d22"

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  • Noa, J.; Soto, P.J.; Costa, G.A.O.P.; Wittich, D.; Feitosa, R.Q.; Rottensteiner, F. (Katlenburg-Lindau : Copernicus, 2021)
    Although very efficient in a number of application fields, deep learning based models are known to demand large amounts of labeled data for training. Particularly for remote sensing applications, responding to that demand ...
  • Camargo, F.F.; Almeida, C.M.; Costa, G.A.O.P.; Feitosa, R.Q.; Oliveira, D.A.B.; Ferreira, R.S.; Heipke, Christian (Göttingen : Copernicus GmbH, 2010)
    This paper introduces a new open source, knowledge-based framework for automatic interpretation of remote sensing images, called InterIMAGE. This framework owns a flexible modular architecture, in which image processing ...
  • 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 ...
  • Soto, P.J.; Costa, G.A.O.P.; Feitosa, R.Q.; Happ, P.N.; Ortega, M.X.; Noa, J.; Almeida, C.A.; Heipke, Christian (Katlenburg-Lindau : Copernicus Publications, 2020)
    Deep learning classification models require large amounts of labeled training data to perform properly, but the production of reference data for most Earth observation applications is a labor intensive, costly process. In ...
  • Andrade, R.B.; Costa, G.A.O.P.; Mota, G.L.A.; Ortega, M.X.; Feitosa, R.Q.; Soto, P.J.; Heipke, Christian (Katlenburg-Lindau : Copernicus Publications, 2020)
    Deforestation is a wide-reaching problem, responsible for serious environmental issues, such as biodiversity loss and global climate change. Containing approximately ten percent of all biomass on the planet and home to one ...
  • Neves, A.K.; Körting, T.S.; Fonseca, L.M.G.; Girolamo Neto, C.D.; Wittich, Dennis; Costa, G.A.O.P.; Heipke, Christian (Katlenburg-Lindau : Copernicus Publications, 2020)
    Large-scale mapping of the Brazilian Savanna (Cerrado) vegetation using remote sensing images is still a challenge due to the high spatial variability and spectral similarity of the different characteristic vegetation types ...

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