两种图像匹配算法在植被覆盖区的应用对比
Comparison of Two Kinds of Image Matching Algorithm in the Area Covered by Vegetation
罗亮 1熊助国1
作者信息
- 1. 东华理工大学测绘工程学院,江西南昌330013
- 折叠
摘要
从无人机影像的特点考虑,对SIFT和SURF这两种图像匹配算法进行研究,利用这两种算法对大量无人机影像进行对比较验,比较2种算法的可靠性.结果表明,在植被覆盖较多的地形中,SURF不但在匹配速度上优于SIFT算子,而且在匹配对数量上也要多于SIFT算子.
Abstract
Considering the characteristics of the UAV image,two image matching algorithms SIFT and SURF were studied,by using these two algorithms to conduct experiment on a large number of UAV images,the reliability was compared.The results showed that in covered more vegetation terrain,SURF is better than SIFT not only in matching speed,but also in matching quantity.
关键词
无人机影像/图像匹配/SIFT/SURFKey words
UAV image/Image matching/SIFT/SURF引用本文复制引用
出版年
2016
国家科技期刊平台
NSTL
维普
万方数据