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