Characterising the Thematic Content of Image Pixels with Topologically Structured Clustering

Characterising the Thematic Content of Image Pixels with Topologically Structured Clustering

The location of a pixel in feature space is a function of its thematic composition. The latter is central to an image classification analysis, notably as an input (e.g., training data for a supervised classifier) and/or an output (e.g., predicted class label). Whether as an input to or output from a...

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Bibliografiska uppgifter
Huvudupphovsman: Giles M. Foody
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2025-01-01
Serie:Remote Sensing
Ämnen:
ground data
reference data
training sites
unsupervised classification
supervised classification
Kohonen neural network
Länkar:https://www.mdpi.com/2072-4292/17/1/130

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