土地利用/覆盖遥感分类研究综述

Review of remote sensing classification technology for land use/land cover

遥感技术已成为土地利用/覆盖信息来源的重要手段,分类方法在其研究中占有重要的地位,方法的优劣直接关系着分类的精度。本文阐述了不同类型遥感资料的性质及应用范围,并在综合分析研究当前主要的遥感图像分类方法基础上,对常规的统计分类方法、人工智能分类方法、针对实际情况的分类方法及其它较新的分类方法进行了综述。

The technology of Remote Sensing has become an important technique for origin of land use/land cover and the classificational methods have important station in the study field.The classifiearioaal precision depends on methods which have been chose. This paper expatiated the characters about different kinds of Remote Sensing data and application ranges , then analysed synthetically current primary image classification methods. On this hare, the paper summarized routnie statistic methods, artificial intelligence classificational methods, elsssifieational methods aiming at factual condition and else new methods, etc.