摘要
低空遥感是遥感影像数据获取的重要手段之一,点特征是最常用的影像特征,目前存在多种点特征提取算法。本文根据低空遥感数字影像的特点和实际应用中的要求,利用探测速度、适应性、提取效能三个特征提取算法的比较标准对常用的点特征提取算子进行了比较。为针对不同特点的低空遥感数字影像,选择某点特征提取算法提供依据。
Low-altitude remote sensing is one of the most important methods to gain remote sensing image data, and feature point as a usual image feature can be extracted by many feature point operators. In this paper, according to characteristics of the low-altitude remote sensing digital images and the demand for practical application, the authors compared the common operators by three evaluation criteria for interest points as detecting speed, adaptability and extracting ability and provided the reference for choosing the right operator in allusion to the low-altitude remote sensing digital images of different features.
出处
《测绘科学》
CSCD
北大核心
2011年第1期121-124,共4页
Science of Surveying and Mapping
关键词
低空遥感
兴趣点算子
特征点提取
探测速度
适应性
提取效能
low-altitude remote sensing
interest operator
feature point detector
detecting speed
adaptability
extracting ability
