Characterisation of forestry species - a comparison using singular value decomposition (SVD) and artificial neural networks (ANN)
Characterisation of forestry species - a comparison using singular value decomposition (SVD) and artificial neural networks (ANN)
- Author(s): G.M. Herries ; S. Danaher ; A. Murray
- DOI: 10.1049/cp:19950773
For access to this article, please select a purchase option:
Buy conference paper PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Thank you
Your recommendation has been sent to your librarian.
- Author(s): G.M. Herries ; S. Danaher ; A. Murray Source: Fifth International Conference on Image Processing and its Applications, 1995 p. 815 – 819
- Conference: Fifth International Conference on Image Processing and its Applications
- DOI: 10.1049/cp:19950773
- ISBN: 0 85296 642 3
- Location: Edinburgh, UK
- Conference date: 4-6 July 1995
- Format: PDF
Inspec keywords: neural nets; remote sensing; geophysical techniques; image classification; geophysical signal processing; adaptive signal processing; forestry; singular value decomposition; backpropagation
Subjects: Optical information, image and video signal processing; Agriculture; Linear algebra (numerical analysis); Computer vision and image processing techniques; Neural computing techniques; Geography and cartography computing; Neural nets (theory); Other topics in solid Earth physics; Geophysics computing; Data and information; acquisition, processing, storage and dissemination in geophysics; Other topics in Earth sciences; Pattern recognition; Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research; Linear algebra (numerical analysis)