Neural network training: Using untransformed or log-transformed training data for the inversion of ocean colour spectra?

International Journal of Remote Sensing

Volumn 27, Issue 10, 2006, Pages 2011-2016

  Dransfeld, S ^a   Tatnall, A R ^b   Robinson, I S ^c   Mobley, C D ^d  

^a UNIVERSITY OF HAMBURG   (Germany)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^c NATIONAL OCEANOGRAPHY CENTRE   (United Kingdom)

^d Sequoia Scientific Incorporated   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CHLOROPHYLL; MATHEMATICAL MODELS; OCEANOGRAPHY; OPTICAL PROPERTIES; RADIATION; SEAWATER;

BIO-OPTICAL MODEL; OCEAN COLOUR SPECTRA; RADIATIVE TRANSFER MODEL;

MULTILAYER NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; CHLOROPHYLL A; COASTAL WATER; OCEAN COLOR; OPEN OCEAN; OPTICAL PROPERTY; RADIATIVE TRANSFER;

EID: 33747158807     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160500245658     Document Type: Article

References (6)

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6. Schiller, H. and Doerffer, R. (1999) Neural network for emulation of an inverse model-operational derivation of case II water properties from MERIS data. International Journal of Remote Sensing, 20, pp. 1735-1746.