基于 PHOW 特征描述子和支持向量机的航空侦察图像分类方法

摘要

The feature descriptor of Pyramid Histogram of Words ( PHOW) was studied,and an aerial reconnaissance image classification method was proposed based on PHOW feature descriptor and Support Vector Machine (SVM) classifier.The experimental results on five kinds of aerial reconnaissance images show that,compared with the image classification method based on Gist feature descriptor,the new method is able to realize image classification rapidly and precisely.The average classification precision is about 84.6%, and the time used for feature extraction and classification is about 37 ms.%在深入研究 PHOW 特征描述子的基础上，提出了基于 PHOW 特征描述子和支持向量机的航空侦察图像分类方法。针对构建的5类航空侦察图像分类实验结果表明，与基于 Gist 特征描述子的图像分类方法相比，新方法可以实现快速准确的图像分类，平均分类精度为84．6％，特征提取和分类的平均耗时为37 ms。