Airborne hyperspectral discrimination of tree species with different ages using discrete wavelet transform
作者： A. Ghiyamat , H.Z.M. Shafri , G.A. Mahdiraji , R. Ashurov , A.R.M. Shariff
DOI: 10.1080/01431161.2014.995272
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摘要: In this article, the capability of discrete wavelet transform (DWT) to discriminate tree species with different ages using airborne hyperspectral remote sensing is investigated. The performance DWT compared against commonly used traditional methods, i.e. original reflectance and first second derivatives. data are obtained from Thetford forest UK, which contains Corsican Scots pines broadleaved species. discrimination performed by employing three spectral measurement techniques (SMTs) including Spectral Angle Mapper (SAM), Information Divergence (SID), a combination SAM SID. Five mother wavelets total 50 orders tested. detail coefficient (CD) each decomposition level all CDs plus approximation final (C-All) extracted wavelet. results show superiority agai...
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