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A comparison of multi-layer perceptron and multilinear regression algorithms for the inversion of synthetic ocean colour spectra

Record type: Article

Artificial radiance sets were used as inputs to Multi-layer Perceptron and multilinear regression algorithms to study their retrieval capabilities for optically active constituents in sea water. The radiative transfer model Hydrolight was used to produce 18,000 artificial reflectance spectra representing various case 1 and case 2 water conditions. The remote sensing reflectances were generated at the Medium Resolution Imaging Spectrometer (MERIS) wavebands 412, 442, 490, 510, 560, 620, 665 and 682 nm from randomly generated triplet combinations of chlorophyll a, non-chlorophyllous particles and CDOM (Coloured Dissolved Organic Matter) concentrations. These reflectances were contaminated with different noise terms, before they were used to assess the performance of multilayer perceptron and multilinear regression algorithms. The potential of both algorithms for retrieving optically active constituents was demonstrated with the neural network showing more accurate results for case 2 scenarios.

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Citation

Dransfeld, S., Tatnall, A.R., Robinson, I.S. and Mobley, C.D. (2004) A comparison of multi-layer perceptron and multilinear regression algorithms for the inversion of synthetic ocean colour spectra International Journal of Remote Sensing, 25, (21), pp. 4829-4834. (doi:10.1080/01431160412331269661).

More information

Published date: 2004

Identifiers

Local EPrints ID: 22684
URI: http://eprints.soton.ac.uk/id/eprint/22684
ISSN: 0143-1161
PURE UUID: ba11127a-b0b8-41c6-9de6-e0a01b6dd8a7

Catalogue record

Date deposited: 22 Mar 2006
Last modified: 17 Jul 2017 16:21

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