Study on retrieve specified objects in massive remote sensing data

被引：0

作者：

Wang, RJ ^{[1
]}

Chen, P ^{[1
]}

Zhang, W ^{[1
]}

机构：

[1] China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China

来源：

SCIENCE IN CHINA SERIES D-EARTH SCIENCES | 2005年 / 48卷

关键词：

content-based image retrieval (CBIR); remote sensing; support vector machine;

D O I：

10.1360/05yd0011

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

In this paper, we show that to retrieve specified objects in massive remote sensing data set is very important in both practice and theory. An algorithm-based content retrieval in the massive data set is studied. To avoid the loss of information, the algorithm based on the Support Vector Machine classification is proposed. Also, the experiment on the real data set is made.

引用

页码：317 / 321

页数：5

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