Camellia oleifera disease and pest detection method based on satellite remote sensing

• Main Authors: SHI YANYAN, LIN SHITAO, DAI WEIXU, GUO JIANWEI
• Format: Patent
• Language: Chinese; English
• Published: 25.12.2020
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides a camellia oleifera disease and insect pest detection method based on satellite remote sensing, and relates to the field of satellite remote sensing, the method comprises a remote sensing platform, an information processing terminal and a sampling system; the remote sensing platform periodically shoots a multispectral picture and a high-definition imaging picture and sends related data to the outside; the information processing terminal is used for receiving related data sent by the remote sensing platform, the sampling system selects multiple groups of typical regions and collects the number of camellia oleifera diseases and pests per unit area, and then the logic formula of the camellia oleifera disease and pest data model can quickly output the camellia oleifera disease and pest degree of the detection region, thereby achieving efficient detection of camellia oleifera diseases and pests. 本发明提供了一种基于卫星遥感的油茶病虫害检测方法，涉及卫星遥感领域，包括遥感平台、信息处理终端以及采样系统，其中遥感平台定期拍摄多光谱图片以及高清成像图片，并对外发送相关数据；信息处理终端用于接