| Locust,orthoptera,east Asia migratory locusts in China is the most widely distributed,and also the most serious harm,it is the main migratory locusts species in our country which is the harmful to the gramineae.Therefore,the research on locust plague detection at home and abroad is very important.The fundamental purpose of locust detecting is to understand the spatial distribution and density of locusts,delineate the area and intensity of the disaster,also take effective measures according to the need in time,key monitoring of the disaster area,in order to make management work can achieve the target,trying to avoid blindness,so as to minimize possible losses,improve the control efficiency.At present,given the lowest artificial detection efficiency、high labor intensity and the results have limitations,aerial RS detection can not accurately obtain the locusts quantity and distribution,aiming at this problem,this article has carried on the locust disaster detection based on uav remote sensing platform technology research,the main research contents include:1.The application of uav remote sensing technology platform.The method of using the optical detection equipment on the low altitude uav to detect the information of locust plague information,which can avoid a lot of manpower material resources consumption,and it also can overcome the shortcoming of the remote sensing image that the resolution is not high and cannot detect the locusts directly.Application results show that according to the real-time images of the uav platform,choose shooting area accurately make the distribution of locust information more accurate and representative.2.The analysis and processing of locust images were studied based on PCNN technology.According to the principle of PCNN,the simplified PCNN model is established by combining the characteristics of the locusts image;then,according to the appearance color and body structure of locusts,locust images were separated by using the simplified PCNN model to obtain the binary image.At last,the simplified PCNN algorithm is applied to the processing of color image of locust.The results show that the algorithm of image processing can make the target of locusts is more easily to find in the image,and the processing effect is significantly better than the unprocessed image.3.The application of locust disaster detection was carried out based on uav remote sensing technology platform.This study was applied to the analysis and processing of the data of locust and the East Asia migratory locusts’ images,and the results provide the basis and reference for precision spraying. |
