节点文献
基于多特征相融合和支持向量机的森林火场识别技术的研究
On Forest Fire Recognition Technology Based on Multi-feature Fusion and Support Vector Machine
【摘要】 针对森林火场采用了新的颜色特征提取方法,融合图像的颜色和纹理特征作为图像的特征向量,并用支持向量机作为学习工具,充分利用已有森林火场的数据进行学习,提高森林火场的自动识别的准确率。结果表明,新的颜色特征提取方法适用于森林火场的识别,采用支持向量机融合多特征可成功用于森林火场的自动识别。
【Abstract】 New color features extraction method was used aiming at forest fire,with image color and texture features as vector,support vector machine as learning tool,the accuracy of automatic recognition of forest fire was improved. The results showed that the new color feature extraction method is suitable for forest fire identification,support vector machine multi-feature fusion can be successfully used for forest fire automatic recognition.
【关键词】 森林火场;
特征提取;
特征融合;
支持向量机;
【Key words】 Forest fire; Feature extraction; Feature fusion; Support vector machine;
【Key words】 Forest fire; Feature extraction; Feature fusion; Support vector machine;
【基金】 “十二五”农村领域国家科技计划项目(2012AA102003-2);国家公益性行业专项(201104037)
- 【文献出处】 安徽农业科学 ,Journal of Anhui Agricultural Sciences , 编辑部邮箱 ,2014年12期
- 【分类号】S762
- 【下载频次】45