Paper
28 January 2002 Visual interpretation of polarimetric SAR imagery
Author Affiliations +
Proceedings Volume 4541, Image and Signal Processing for Remote Sensing VII; (2002) https://doi.org/10.1117/12.454151
Event: International Symposium on Remote Sensing, 2001, Toulouse, France
Abstract
A study is presented in which several different representations of polarimetric SAR data for visual interpretation are evaluated. Using a group of observers the tasks 'land use classification' and 'object detection' were examined. For the study, polarimetric SAR data were used with a resolution of 3 meters. These data were obtained with the Dutch PHARUS sensor from two test areas in the Netherlands. The land use classes consisted of bare soil, water, grass, urban and forest. The objects were farmhouses. It was found that people are reasonably successful in performing land use classification using SAR data. Multi- polarized data are required, but these data need not to be fully polarimetric, since the best results were obtained with the hh- and hv-polarization combinations displayed in the red and green color channels. Detection of objects in SAR imagery by visual inspection is very difficult. Most representations gave minimal results. Only when the hh- and hv-polarization combinations were displayed in the red and green channels, somewhat better results were obtained. Comparison with an automatic classification procedure showed that land use classification by visual inspection appears to be the more effective. Automatic detection of objects gave better results than by visual inspection, but many 'false' objects were also detected.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Albertus C. van den Broek, Arthur Smith, and Alexander Toet "Visual interpretation of polarimetric SAR imagery", Proc. SPIE 4541, Image and Signal Processing for Remote Sensing VII, (28 January 2002); https://doi.org/10.1117/12.454151
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KEYWORDS
Polarimetry

Synthetic aperture radar

Scattering

Visualization

Buildings

Sensors

Optical inspection

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