Spectral Pattern Recognition by a Two-Layer Perceptron: Effects of Training Set Size

Spectral Pattern Recognition by a Two-Layer Perceptron: Effects of Training Set Size

Pattern recognition in urban areas is one of the most challenging issues in classifying satellite remote sensing data. Parametric pixel-by-pixel classification algorithms tend to perform poorly in this context. This is because urban areas comprise a complex spatial assemblage of disparate land co...

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Bibliographic Details
Main Authors: Fischer, Manfred M., Staufer-Steinnocher, Petra
Format: Others
Language:en
Published: WU Vienna University of Economics and Business 1996
Subjects:
Two-layer perceptron / multispectral landcover data / supervised pattern classification / training set size / stability and parameter conditions
Online Access:http://epub.wu.ac.at/4160/1/WSG_DP_5596.pdf

Internet

http://epub.wu.ac.at/4160/1/WSG_DP_5596.pdf

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