在多年遥感图像森林变化检测研究和大规模实际应用的基础上,提出了面向对象高空间分辨率遥感图像森林变化检测工程化应用的流程和方法体系,包括图像预处理、小班专题图整理、图像分割与信息提取、面向对象图斑分类、分类结果修正、变化图斑提取、外业工作图制作。该方法体系无需复杂计算,简单易学,便于流程化操作,非遥感专业人员通过短期培训即可完成某个步骤的操作。针对1期遥感图像和2期遥感图像的两种情况,分别介绍了该方法体系的具体应用。
After years of extensive testing and practical applications of forest change detection of satellite image,we present in this paper anengineering procedure and method system for forest change detection based on object-oriented analysis of high-resolution remote sensing images,which included image preprocessing,sub-compartment thematic map preparation,image segmentation and information extraction,object-oriented classification,classification output modification,change objects extraction and field work map production.The methods had no complex image calculation,were easy to learn,could easily streamline the operation,and non professional person could complete one operation after the short-term training.Dealing with one time image and thematic map and time images,the paper introduced the application of this procedure and method system.
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