【摘要】 针对常规松材线虫病(Bursaphelenchus xylophilus)普查监测耗时长、数据实时性和真实性差的现状,作者基于无人机采集的高分辨率影像和e Cognition遥感图像处理软件,采用目视判读、模版匹配2种方法分别对疫区松材线虫病危害木进行遥感识别。根据研究区域实地踏勘结果,从识别精度和数据处理效率方面比较2种方法,发现相较于目视解译的传统信息提取方式,模版匹配方法在精度和效率方面具有明显优势,能有效提高松材线虫病危害木监测效率。更多还原

【Abstract】 In viewof the situation of long time,poor authenticity and real-time capability of monitoring,methods of visual interpretation and template matching by e Cognition software were used to identify trees which infected by pine wood nematode. Based on the result of field reconnaissance,each method was discussed from the aspects of identification accuracy and data processing efficiency. By contrast of the traditional monitoring technology,the method of template matching had obvious advantage in terms of accuracy and efficiency,which could increase the efficiency of monitoring effectively.更多还原