摘要
为实现矿区无人机正摄影像的精确匹配,采用KAZE-DAISY算法对无人机正射影像实施特征点提取处理。利用KAZE算法对正射影像进行关键点检测并生成关键点描述符,通过DAISY描述符来确定正摄影像的特征点,利用常规PROSAC算法完成对于无人机正摄影的精确匹配。经实验研究发现,此次研究提出的KAZE-DAISY算法在总匹配点对数和正确匹配点对数方面具有显著优势,并且匹配总耗时相对较短,在户外监测工作环境中可有效节约计算机资源,能满足矿区开采前勘测对于正摄影像资料的需求。
In order to realize accurate matching of UAV orthophoto images in mining area,KAZE-DAISY algorithm is used to extract feature points from UAV orthophoto images.The KAZE algorithm is used to detect the key points of the orthophoto Image and generate the key point descriptor.On this basis,the feature points of orthophoto Image are determined through the daisy descriptor.Finally,the accurate matching of UAV orthophoto is completed through the conventional PROSAC algorithm.Through experimental research,it is found that KAZE-DAISY algorithm proposed in this study has significant advantages in the logarithm of total matching points and the logarithm of correct matching points,and the total matching time is relatively short.It can effectively save computer resources in the outdoor monitoring working environment and meet the needs of orthophoto data for pre mining survey in the mining area.
作者
张莞玲
赵莲莲
Zhang Wanling;Zhao Lianlian(Xi′an Aeronautical Polytechnic Institute,Xi′an,710089,China)
出处
《能源与环保》
2021年第12期141-145,153,共6页
CHINA ENERGY AND ENVIRONMENTAL PROTECTION
基金
西安航空职业技术学院校级科研课题(19XHZK-023)。
