A method for statistical data fusion on a per-field basis

Erol H.

INTERNATIONAL JOURNAL OF REMOTE SENSING, cilt.26, sa.15, ss.3309-3319, 2005 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 26 Sayı: 15
  • Basım Tarihi: 2005
  • Doi Numarası: 10.1080/01431160500127567
  • Dergi Adı: INTERNATIONAL JOURNAL OF REMOTE SENSING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.3309-3319
  • Çukurova Üniversitesi Adresli: Hayır

Özet

The aim of this study is to develop a new method for data fusion, in a statistical manner, on a per-field basis that can be applied before a per-field classification for increasing per-field classification accuracy. The method developed for statistical data fusion is a model-based data fusion method which utilizes nested mixture distribution modelling and integrates two multiresolution and multispectral image data each from different wavelengths of different spectral bands of different imaging sensors with different resolutions and having a different number of spectral bands. The statistical data fusion process involves two successive steps.