Transformation of a Classified Image from Pixel Clutter to Land Cover Map Using Geometric Generalization and Thematic Self-Enrichment

Land cover maps are frequently produced via the classification of satellite imagery. There is a need for a practicable and automated approach for the generalization of these land cover classification results into scalable, digital maps while minimizing information loss. We demonstrate a method where...

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Библиографические подробности

Главные авторы:	Geir-Harald Strand, Eva Solbjørg Flo Heggem, Linda Aune-Lundberg, Agata Hościło, Adam Waśniewski
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2024-07-01
Серии:	Geomatics
Предметы:	land cover pixel clutter cartography generalization enrichment
Online-ссылка:	https://www.mdpi.com/2673-7418/4/3/15
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