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  4. On the classification of high activity objects
 
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2018
  • Konferenzbeitrag

Titel

On the classification of high activity objects

Abstract
Change detection is a highly demanded field of research with multiple approaches. Most approaches have in common that changes are detected without describing information. Classification-based methods offer the opportunity to extract detailed information concerning the type of the changes. Conventionally, land-use / land-cover classification can be performed in supervised or unsupervised manner. Both strategies require comprehensive training and reference data. In this paper, an aspect of the approach for the classification of changes is presented, which does not require training or reference data. Furthermore, no expert knowledge is needed. In consequence, a high rate of practical utility for image recognition results.
Author(s)
Boldt, Markus
Thiele, Antje
Schulz, Karsten
Hinz, Stefan
Hauptwerk
EUSAR 2018, 12th European Conference on Synthetic Aperture Radar
Konferenz
European Conference on Synthetic Aperture Radar (EUSAR) 2018
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Englisch
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