Markus Törmä

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This paper studies the applicability of ERS-1 and JERS SAR-images to land-use classification. Different factors affecting classification accuracy like environmental conditions of study area, speckle filtering, spatial averaging, texture measures and different ways to use temporal images are discussed. Classification experiment employing three principal(More)
A set of ERS SAR and optical MODIS-images were classified to land cover and tree species classes. Different methods for pixel and decision based data fusion were tested. Classifications of featuresets were carried out using Bayes rule for minimum error. The results were not very successful, the classification accuracies of land cover classes varied from 43%(More)