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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| 第一著者: | |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2025-01-01
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| シリーズ: | Remote Sensing |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2072-4292/17/1/130 |
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