A new supervised classification method for quantitative analysis of remotely-sensed multi-spectral data

Erol H., Akdeniz F.

INTERNATIONAL JOURNAL OF REMOTE SENSING, cilt.19, sa.4, ss.775-782, 1998 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 19 Sayı: 4
  • Basım Tarihi: 1998
  • Doi Numarası: 10.1080/014311698216008
  • Dergi Adı: INTERNATIONAL JOURNAL OF REMOTE SENSING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.775-782
  • Çukurova Üniversitesi Adresli: Hayır

Özet

A new supervised classification method is developed for quantitative analysis of remotely-sensed multi-spectral data. It is based on the comparisons of the probability density function of the mixture of three normal distributions for a pixel and the probability density functions of the mixture of three normal distributions for spectral classes. The comparisons are made according to the distances between them.