[An object-based information extraction technology for dominant tree species group types].
Ying Yong Sheng Tai Xue Bao
; 26(6): 1665-72, 2015 Jun.
Article
en Zh
| MEDLINE
| ID: mdl-26572017
Information extraction for dominant tree group types is difficult in remote sensing image classification, howevers, the object-oriented classification method using high spatial resolution remote sensing data is a new method to realize the accurate type information extraction. In this paper, taking the Jiangle Forest Farm in Fujian Province as the research area, based on the Quickbird image data in 2013, the object-oriented method was adopted to identify the farmland, shrub-herbaceous plant, young afforested land, Pinus massoniana, Cunninghamia lanceolata and broad-leave tree types. Three types of classification factors including spectral, texture, and different vegetation indices were used to establish a class hierarchy. According to the different levels, membership functions and the decision tree classification rules were adopted. The results showed that the method based on the object-oriented method by using texture, spectrum and the vegetation indices achieved the classification accuracy of 91.3%, which was increased by 5.7% compared with that by only using the texture and spectrum.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Árboles
/
Bosques
/
Tecnología de Sensores Remotos
Tipo de estudio:
Prognostic_studies
País/Región como asunto:
Asia
Idioma:
Zh
Revista:
Ying Yong Sheng Tai Xue Bao
Asunto de la revista:
SAUDE AMBIENTAL
Año:
2015
Tipo del documento:
Article
Pais de publicación:
China