| Wheat take all disease is an important quarantine, on wheat production once the disease, has great influence on the yield of wheat. To better the for monitoring and controlling, the UAV aerial remote sensing technique to obtain the image of wheat, and the establishment of the original image processing method, according to the different color feature parameters to judge the feasibility of wheat take all disease harm of disease grade. Extraction of wheat take all disease spectrum information of sensitive band information, in order to establish the prediction model of wheat take all disease.The main research contents of this paper include the following aspects:1. by different degree of harm of take all disease of wheat as experimental material, through digital image processing technology, to wheat by disease position of color feature extraction, based on wheat disease position information by color difference, support the establishment of disease information hierarchy model based on vector machine technology. Combining the colorimetric theory and image processing method, study the method of extracting related color features.2. through the study on canopy reflectance change regularity of different dis ease of wheat, wheat take all disease verification sensitive band spectral information for 700-900 nm. This is higher that the correlation between the spectral range of wheat disease and high spectral information. Training sample data of the sensitive wave band, so as to establish a prediction model of take all disease severity.3. combined with automatic recognition technology of image processing and spectral analysis of wheat take all disease grade of this technology. Studied from data acquisition, image preprocessing, feature extraction, color sensitive band selection and other aspects to verify the superiority of using image processing technique to obtain the wheat take all disease hazard rating model. |