NSSC OpenIR  > 空间技术部
Alternative TitleCloud detection based on minimizing support vector count of SVM
卞春江; 余翔宇; 候晴宇; 张伟
Source Publication红外与激光工程
Keyword云检测 支持向量机 支持向量数 奇异值分解
Other AbstractThe classifier plays an important role for cloud detection in remote sensing image. Traditional Classifiers demand excessive training samples and have risks to fall into local optimum. To solve these deficiencies, SVM was presented as the classifier to achieve cloud detection based on SVD as feature vectors. Meanwhile, the method of minimizing the support vector count was introduced to substitute cross-validation method for optimal parameters selection. Experiment over high resolution remote sensing images QuickBird showed, with this method, the correction rate of cloud detection could be higher than 99%. It also suggested support vector count could reflect the classifier's estimation accuracy and was more easy to compute. The SVM classifier established in this way, compared with BP neural network, needed fewer training samples but achieved higher accuracy, it showed better performance in cloud detection field.
Indexed ByEI ; CSCD
Citation statistics
Document Type期刊论文
Recommended Citation
GB/T 7714
卞春江,余翔宇,候晴宇,等. 最小化支持向量数分类器的云检测[J]. 红外与激光工程,2014,43(6):1818-1822.
APA 卞春江,余翔宇,候晴宇,&张伟.(2014).最小化支持向量数分类器的云检测.红外与激光工程,43(6),1818-1822.
MLA 卞春江,et al."最小化支持向量数分类器的云检测".红外与激光工程 43.6(2014):1818-1822.
Files in This Item: Download All
File Name/Size DocType Version Access License
20144361818.pdf(896KB) 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[卞春江]'s Articles
[余翔宇]'s Articles
[候晴宇]'s Articles
Baidu academic
Similar articles in Baidu academic
[卞春江]'s Articles
[余翔宇]'s Articles
[候晴宇]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[卞春江]'s Articles
[余翔宇]'s Articles
[候晴宇]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 20144361818.pdf
Format: Adobe PDF
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.