Unsharp Masking Filter Based Shadow-Invariant Feature Extraction For Hyperspectral Signatures

Sakarya U., Demirkesen C., Teke M.

22nd IEEE Signal Processing and Communications Applications Conference (SIU), Trabzon, Türkiye, 23 - 25 Nisan 2014, ss.293-296 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Trabzon
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.293-296
  • Anahtar Kelimeler: shadow-invariant feature extraction, unsharp masking filter, hyperspectral signature
  • Orta Doğu Teknik Üniversitesi Adresli: Hayır

Özet

Hyperspectral image processing is an important research topic in remote sensing. The effect of atmosphere, especially cloud shadows need to be taken care of in hyperspectral image processing analysis. In this paper, a shadow-invariant feature extraction technique based on unsharp mask filtering is proposed for hyperspectral signatures. This technique is designed to remedy the problem of one material having different spectral signatures due to illumination condition. Similarity of the two signatures belonging to a same material in differently illuminated areas (shadow and non-shadow) is investigated before and after filtering. According to the first experiments, the proposed approach seems to be effective.