Details

Autor(en) / Beteiligte

• Foody, G.M.

Titel

Fuzzy modelling of vegetation from remotely sensed imagery

Ist Teil von

• Ecological modelling, 1996-02, Vol.85 (1), p.3-12

Ort / Verlag

Elsevier B.V

Erscheinungsjahr

1996

Quelle

Elsevier Journal Backfiles on ScienceDirect (DFG Nationallizenzen)

Beschreibungen/Notizen

• Remote sensing has considerable potential for vegetation mapping. The model of vegetation distribution represented in an image classification, however, may not always be appropriate as the algorithms typically used give a ‘hard’ class allocation. Here the output of three classification techniques, a maximum likelihood, artificial neural network and fuzzy sets classification, are softened and shown to be able to reflect the class composition of image pixels and so be able to provide a better representation of some vegetation from remotely sensed imagery.