基于面向对象的山东省冬小麦种植面积监测

摘要

Using remote sensing technology and object oriented software eCognition classification techniques,RA-PIDEYE satellite images classification has been carried out.Thus,winter wheat area can be monitored quickly and accurately.It will provide data and technical support for financial subsidy of winter wheat.Administrative area in Yanzhou city is 6.5019 ×104hm 2,monitoring area of winter wheat is 3.1715 ×104hm2,and monitoring accuracy has reached 90.5%.%利用遥感技术，使用eCognition软件的面向对象分类技术，对RAPIDEYE卫星影像进行分类识别，从而快速、准确的监测小麦种植面积，为冬小麦财政补贴提供数据和技术支持。以兖州市为例，行政区面积6．5019万hm2，小麦监测面积3．1715万hm2，小麦面积监测精度达到了90．5％。