Search Results - "Kattenborn, G."

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  1. 1

    PILOT STUDY ON THE RETRIEVAL OF DBH AND DIAMETER DISTRIBUTION OF DECIDUOUS FOREST STANDS USING CAST SHADOWS IN UAV-BASED ORTHOMOSAICS by Kattenborn, T., Hernández, J., Lopatin, J., Kattenborn, G., Fassnacht, F. E.

    “…One fundamental metric to characterize trees and forest stands is the diameter at breast height (DBH). However, the vertical geometry of tree stems hampers a…”
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    Journal Article
  2. 2

    Experimental characterization of spatial statistics in polarimetric multifrequency airborne SAR data by De Grandi, G., Nezry, E., Kattenborn, G., Sieber, A.J.

    “…The spatial statistics in a SAR (synthetic aperture radar) image is an important parameter for the classification of different targets, in two respects: it can…”
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    Conference Proceeding
  3. 3

    Combined ERS SAR and optical satellite data for the estimation of forest structural attributes by Kattenborn, G., Nezry, E.

    “…ERS-1 acquisitions of the Black Forest test site in Germany from 1991 to 1993 were selected to cover a variety of seasonal and phenological stages. Multisensor…”
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    Conference Proceeding
  4. 4

    Theoretical sensitivity of ERS-1 SAR backscatter over forest by Wegmuller, U., Holecz, F., Wang, Y., Kattenborn, G.

    “…A theoretical microwave backscatter model was used to simulate the sensitivity of ERS-1 SAR data over temperate forest to SAR system, forest stand, and…”
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    Conference Proceeding
  5. 5

    Monitoring agricultural surfaces using ERS-1 multitemporal SAR data by Kohl, H.-G., Nezry, E., de Groof, H., Kattenborn, G.

    “…It is among the basic principles of physical measurement that changing the conditions of measure results in improving the knowledge of the observed phenomena…”
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    Conference Proceeding
  6. 6

    Singularity analysis with wavelets in polarimetric SAR imagery for vegetation mapping applications by De Grandi, G.F., Lee, J.S., Schuler, D., Simard, M., Sgrenzaroli, M., Kattenborn, G., Holecz, F., Pasquali, P.

    “…Singularity and non-stationarity in images, such as edges and contours in the deterministic case, or fractal processes in the stochastic case, carry important…”
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    Conference Proceeding
  7. 7