Comparison of a new algorithm with the supervised classifications

Emrahoglu N., Yegingil I., Pestemalci V., Senkal O., Kandirmaz H.

INTERNATIONAL JOURNAL OF REMOTE SENSING, cilt.24, sa.4, ss.649-655, 2003 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 24 Sayı: 4
  • Basım Tarihi: 2003
  • Doi Numarası: 10.1080/01431160210145597
  • Dergi Adı: INTERNATIONAL JOURNAL OF REMOTE SENSING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.649-655
  • Çukurova Üniversitesi Adresli: Evet

Özet

In this study, a new classification algorithm in which only the selected pixels have been attempted to be classified (selected pixels classification: SPC) has been introduced and compared with the well known supervised classification methods such as maximum likelihood, minimum distance, nearest neighbour and condensed nearest neighbour. To examine the algorithm, Landsat Thematic Mapper (TM) data have been used to classify the crop cover in the selected region. It is clearly demonstrated that the SPC method has the higher accuracy with comparable CPU times.