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低空遥感数字影像的点特征提取算子的比较
引用本文:王利勇,王慧,李鹏程,吴翰书. 低空遥感数字影像的点特征提取算子的比较[J]. 测绘科学, 2011, 36(1): 121-124
作者姓名:王利勇  王慧  李鹏程  吴翰书
作者单位:信息工程大学测绘学院;95956部队;
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.

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

Intercomparsions of interest point detectors based on the digital image of low-altitude remote sensing
WANG Li-yong,WANG Hui,LI Peng-cheng,WU Han-shu. Intercomparsions of interest point detectors based on the digital image of low-altitude remote sensing[J]. Science of Surveying and Mapping, 2011, 36(1): 121-124
Authors:WANG Li-yong  WANG Hui  LI Peng-cheng  WU Han-shu
Affiliation:①(① Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China,② Troops 95956,Xi’an 710061,China)
Abstract: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 t...
Keywords:low-altitude remote sensing  interest operator  feature point detector  detecting speed  adaptability  extracting ability  
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