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Retrieval of optically active parameters from oceanic reflectance spectra using multi-layer perceptron and K-Nearest neighbour algorithms

Record type: Conference or Workshop Item (Paper)

Artificial radiance sets, generated with the use of a biooptical and radiative transfer model Hydrolight, corresponding to Case 1 and Case 2 waters, are used as inputs to Multi-layer Perceptron and K-NN algorithms to study the algorithm’s retrieval capabilities for optically active constituents in the water. The radiative transfer model Hydrolight has been 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 MERIS wavebands 412, 442, 490, 510, 560, 620, 665 and 682 nm from randomly generated triplet combinations of phytoplankton, non-chlorophyllous particles and CDOM concentrations. These reflectances were then used to assess the performance of the KNearest Neighbour and the Multilayer Perceptron algorithms, which were compared to some more traditional band ratio regression algorithms that had been a popular choice for CZCS and SeaWiFS imagery. The objective of the work was to establish the best kind of algorithm for this type of application.

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Citation

Dransfeld, S., Tatnall, A.R.L., Robinson, I.S. and Mobley, C.D. (2001) Retrieval of optically active parameters from oceanic reflectance spectra using multi-layer perceptron and K-Nearest neighbour algorithms In Proceedings of Current Problems in Optics of Natural Waters. Bedford Institute of Oceanography., pp. 99-105.

More information

Published date: 2001
Venue - Dates: Current Problems in Optics of Natural Waters, 2001-09-25 - 2001-09-28

Identifiers

Local EPrints ID: 22328
URI: http://eprints.soton.ac.uk/id/eprint/22328
PURE UUID: 18017e46-d76e-4a3c-a51c-1ba8858aab1b

Catalogue record

Date deposited: 28 Feb 2007
Last modified: 17 Jul 2017 16:22

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