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有效监测患病株方法的缺失是导致对松萎蔫病难以成功控制的主要原因之一。利用航空手段调查该病导致的针叶颜色变化已被证明是一种可靠的方法。为了克服该方法固有的缺点,笔者引用了近红外彩色胶片航拍方法。该项技术在获得正摄航拍图像时,通过图像处理可以增强松针颜色变化,获得较直接拍摄图像更明显的色差。因为图像可以在室内仔细处理,因此能解决飞行时间缺乏等问题。但是,该方法也存在对被压木无法获得其影像而漏检的缺陷。笔者研发的计算机软件可以将目标树标记在计算机图像文件上,并且标记树的地理位置数据和背景航拍图像并传输到装有内置GPS接收器的掌上电脑中,借助软件产生的图像导航定位系统,有利于地面接近标记树,从而可以现场检查和校正标记树的数据,并将修正数据传回至主机。此方法利用最新航拍图像技术建立对每株树处理和管理的连续资料,大大改善了防控松萎蔫病的措施。
The lack of effective monitoring of diseased strains is one of the major causes leading to difficulties in the successful control of pine wilt disease. The use of aerial means to investigate changes in needle color caused by the disease has proven to be a reliable method. In order to overcome the inherent shortcomings of this method, the author cites the near-infrared color film aerial method. This technique can enhance the color change of pine needles by image processing when obtaining the positive aerial image, and obtain more obvious color difference than the direct shot image. Because images can be handled carefully indoors, problems such as lack of flight time can be solved. However, this method also suffers from the defect that the pressed wood can not obtain its image and is undetected. The computer software developed by the author can mark the target tree on the computer image file and mark the geographical location data of the tree and the background aerial image and transmit it to a handheld computer with a built-in GPS receiver. With the help of the software-generated image navigation and positioning system, It is helpful for the ground to approach the marker tree so that the data of the marker tree can be checked and corrected on site, and the correction data can be transmitted back to the host. This method uses the latest aerial imagery techniques to establish continuous data on the processing and management of each tree and greatly improves the control of pine wilt disease.