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...

書誌詳細
第一著者:	Giles M. Foody
フォーマット:	論文
言語:	English
出版事項:	MDPI AG 2025-01-01
シリーズ:	Remote Sensing
主題:	ground data reference data training sites unsupervised classification supervised classification Kohonen neural network
オンライン･アクセス:	https://www.mdpi.com/2072-4292/17/1/130

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