Study on retrieve specified objects in massive remote sensing data
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.
作 者： WANG Rongjing CHEN Ping ZHANG Wei 作者单位： College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China 刊 名： 中国科学D辑（英文版） SCI 英文刊名： SCIENCE IN CHINA SERIES D(EARTH SCIENCES) 年，卷(期)： 2005 48(z2) 分类号： P2 关键词： content-based Image retrieval (CBIR) remote sensing support vector machine