A neural network approach to cloud classification from multi-temporal satellite imagery
A neural network approach to cloud classification from multi-temporal satellite imagery
- Author(s): H.G. Lewis ; S. Cote ; A.R.L. Tatnall
- DOI: 10.1049/cp:19950539
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): H.G. Lewis ; S. Cote ; A.R.L. Tatnall Source: 4th International Conference on Artificial Neural Networks, 1995 p. 116 – 121
- Conference: 4th International Conference on Artificial Neural Networks
- DOI: 10.1049/cp:19950539
- ISBN: 0 85296 641 5
- Location: Cambridge, UK
- Conference date: 26-28 June 1995
- Format: PDF
Inspec keywords: atmospheric techniques; Hopfield neural nets; data analysis; image resolution; image classification; remote sensing; clouds; image sequences; geophysics computing
Subjects: Data and information; acquisition, processing, storage and dissemination in geophysics; Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research; Atmospheric, ionospheric and magnetospheric techniques and equipment; Neural nets (circuit implementations); Computer vision and image processing techniques; Resolution of optical images; Geophysics computing; Image processing and restoration; Optical information, image and video signal processing; Cloud physics; Neural computing techniques; Other topics in Earth sciences