Application of image classification technology in mangrove information extraction

被引：1

作者：

Wu, Shulei ^{[1
]}

Dong, Liya ^{[1
]}

Chen, Huandong ^{[1
]}

Zhan, Jinmei ^{[2
]}

机构：

[1] Hainan Normal Univ, Coll Informat Sci & Technol, Haikou, Peoples R China

[2] Qiongtai Teachers Coll, Dept Informat & Technol, Haikou, Peoples R China

来源：

2015 11TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS) | 2015年

关键词：

image classification technology; satellite remote sensing; parallelepiped method; Meanshift clustering method; ENERGY;

D O I：

10.1109/CIS.2015.48

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 Meanshift 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.

引用

页码：167 / 170

页数：4

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