Band Selection Using Hyperspectral Data of Subtropical Tree Species

Abstract

Band selection was performed based on hyperspectral data taken at 400 ‐ 900 nm spectral range for 25 subtropical tree species in Hong Kong. Stepwise discriminant analysis and hierarchical clustering were used to select bands with high discriminatory power. Bands selected from stepwise discriminant analysis mainly lied along the green, red and near‐infrared bands. Using hierarchical clustering, in addition to the blue, green, red and near‐infrared bands, spectral bands along the blue‐green edge, green‐red edge and red curves were found to have important information to discriminate the 25 tree species. Both techniques could generate accurate identification of tree species with 89% overall accuracy and the results were significantly better than using all the bands.