Synthetic aperture radar feature selection for dual polarized ScanSAR data

KASAPOĞLU N. G.

5th International Conference on Recent Advances in Space Technologies, RAST 2011, İstanbul, Türkiye, 9 - 11 Haziran 2011, ss.370-374, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/rast.2011.5966858
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.370-374
  • Anahtar Kelimeler: Data Analysis Fusion, Data Assimilation, Discrimination Analysis, SAR Feature Selection
  • İstanbul Kültür Üniversitesi Adresli: Evet

Özet

Synthetic aperture radar (SAR) ScanSAR data has advantages on oceanographic remote sensing applications regarding its large coverage and sufficient resolution. However terrestrial downlink bandwidth is limited and therefore up to dual polarized (e.g., HH and HV) ScanSAR data can be achieved today's spaceborn systems (e.g., RadarSAT-2). In this study grey level co-occurrence matrix was employed to extract SAR features for both HH and HV channels. Additionally some of band math products such as HH/HV and HH-HV were used as candidate SAR features. Selection of optimum SAR features is crucial and application dependent. In this study, selection strategies based on SAR data assimilation was introduced and relation of conventional separability criterions on SAR data assimilation and pattern recognition were discussed. © 2011 IEEE.