Community Research and Development Information Service - CORDIS

Abstract

Efficient use of multitemporal Landsat thematic mapper (TM) information in forest change detection requires that the best features from the huge amount of data can be selected for the task. This paper shows how the Self-Organizing Map (SOM) can be used as a tool for evaluating the class discriminatory potentials of different features and for selecting suitable features for the change detection task.

Additional information

Authors: HEIKKONEN J, JRC Ispra (IT);VARFIS A, JRC Ispra (IT);VARJO J, Finnish Forest Research Institute, Helsinki (FI)
Bibliographic Reference: Paper presented: International Conference on Engineering Applications of Neural Networks, London (GB) June 17-19, 1996
Availability: Available from (1) as Paper EN 39777 ORA
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