DocumentCode :
3739636
Title :
Application of Image Classification Technology in Mangrove Information Extraction
Author :
Shulei Wu;Liya Dong;Huandong Chen;Jinmei Zhan
Author_Institution :
Coll. of Inf. Sci. &
fYear :
2015
Firstpage :
167
Lastpage :
170
Abstract :
As the particularity of the mangrove ecosystem, it is difficult to do field investigation, which consumes much time, and the obtained data is not real-time. The technology of satellite remote sensing plays an important role in the detection of the ecological system. Some methods, such as band combination, expert classification and fuzzy classification, have been widely used in recent years. This paper explores the application of the image classification technology in mangrove information extraction based on RGB color only, and discusses the method of parallelepiped and Mean shift clustering respectively. According to the different image characteristics, the image classification technology based on RGB color only can distinguish the different research contents in remote sensing image, which uses a computer to analyze the target object quantitatively and classifies each image pixel or region into several categories.
Keywords :
"Remote sensing","Classification algorithms","Image color analysis","Image classification","Information retrieval","Satellites","Rivers"
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security (CIS), 2015 11th International Conference on
Type :
conf
DOI :
10.1109/CIS.2015.48
Filename :
7396278
Link To Document :
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