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Advanced Land Use Classification Using Polarimetric High-Resolution SAR

in
  • agricultural terrain
  • airborne E-SAR
  • C-VH
  • C-VV
  • calibration
  • computation of radar backscatter coefficents
  • Definiens eCognition
  • different basic land use classes
  • different spatial resolutions simultaneously
  • fluvial terrace
  • Friedrich-Schiller-University Jena (FSU)
  • Geographic Information Systems (GIS)
  • German Aerospace Centre (LDR)
  • heterogeneous agricultural land use
  • hyperspectral data
  • L-HH
  • L-HV
  • L-VV
  • multifrequent and multipolarimetric airborne SAR data
  • multilooking (2-3 m resolution) and geocoding
  • object-oriented image analysis software
  • object-orientred
  • optimum segmentation results
  • overall accuracy
  • patented segmentation
  • polarimetric calibration
  • polarimetric high-resolution SAR
  • Polarimetric multifrequency high-resolution E-SAR data
  • radar data
  • rural landscape
  • several crop types
  • speckle filtering
  • spectral statistics
  • TerraDew
  • X-HH
  • X-VV
  • Agriculture

Polarimetric multifrequency high-resolution E-SAR data was used to map an agricultural terrain in southern Germany. Using the object-oriented approach of Definiens eCognition an advanced rule base was defined to classify different basic land use classes and several crop types. The overall accuracy reached 86 %. This is comparable to a result derived from hyperspectral data using a similar concept.

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definiens_advanced_land_use_polarimetric_high_res.pdf240.27 KB
Document Type: 
Case Study
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