Extraction of Broad-Leaf Weeds from Grassland by Texture Analysis

Autor:	Akira Otuka, Ken Taniwaki
Rok vydání:	1999
Předmět:	Feature parameter geography geography.geographical_feature_category Conditional equation Extraction (chemistry) Statistics Extraction methods Variance (accounting) Weed Texture (geology) Grassland Mathematics
Zdroj:	Journal of the Japan society of photogrammetry and remote sensing. 38:6-13
ISSN:	1883-9061 0285-5844
DOI:	10.4287/jsprs.38.6_6
Popis:	A new method of extracting broad-leaf weeds from grassland, Variance Extraction Method (VEM), has been proposed. The method applies texture analysis to weed extraction. Statistical variance was found suitable as a feature parameter of the texture analysis. Only weeds can be extracted because variance calculated on the broad leaves of the weeds is small and it is large in the grassland region. In this paper, characteristics of the proposed method are closely investigated and a conditional equation of extraction is presented for the design of weed system.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::af3890e1dbe3b816442fb3622168ffe9 https://doi.org/10.4287/jsprs.38.6_6 Zobrazit plný text záznamu