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本文以甘肃省张掖市农田保护区为例,在比较分析多时相影像叠合方法、图像代数变化检测算法、多时相图像主成份分析法和分类后比较变化检测等几种目前常用的变化检测方法的基础上,提出重点农田保护遥感动态监测的一般思路和方法,并利用ERDAS系统中的空间建模工具,建立起基于图像代数变化检测算法——差值法的动态遥感变化检测模型。实验表明该模型用于检测耕地的变化简单且有效,能够满足重点农田保护动态监测精度的基本要求,对遥感技术在农田保护动态监测中的应用有着重要的现实意义。
In this paper, taking Zhangye Prefecture Farmland Protection Area of Gansu Province as an example, this paper compares and analyzes several commonly used change detection methods such as multi-temporal image overlay method, image algebra change detection algorithm, multi-phase image principal component analysis method and classified change detection Based on which the general idea and method of dynamic monitoring of key farmland protection remote sensing are put forward. And the dynamic remote sensing change detection model based on algebraic change detection algorithm - difference method is established by using the spatial modeling tools in ERDAS system. Experiments show that the model is simple and effective to detect the change of arable land, which can meet the basic requirements of dynamic monitoring of key farmland protection. It has important practical significance for the application of remote sensing in the dynamic monitoring of farmland protection.