耕地资源信息的准确获取是耕地地力调查和评价工作的重要内容.针对平原-山地混合区的地物光谱特征混杂严重的特点,该文选择山东省青州市为试验区,研究平原-山地复合区的耕地资源遥感提取方法.在基于波谱知识的分类试验以及监督分类试验基础上,提出了将知识分类和监督分类相结合的耕地资源信息提取方法:根据监督分类的误差评估报告,采用将漏分的像元补充进来而将错分的像元剔除的方法确定各类型所包括的像元,然后,结合光谱、经验知识、土地利用现状信息、地形地貌和耕地地力调查等资料,建立各耕地资源类型的提取规则.研究结果表明,该方法的精度较高,总体精度为88.57％,实现了该地区快速和较高精度的计算机自动分类,达到了实际应用的精度要求,该方法可为有类似情况的县市提供参考.%The accurate acquisition of the cultivated land resource information is important in the farmland fertility survey and evaluation. Aiming at the mixed spectral characteristics of the plain-mountain region, Qingzhou county of Shandong province was taken as a case to extract the farmland resources. Based on the experiment of the spectral knowledge classification and the supervised classification, an extraction method for farmland by remote sensing was proposed. On the basis of the accuracy assessment of the supervised classification, the leak pixels were added to the type and the wrong pixels were removed from the type to determine the pixels of each farmland type contained, Then, combing with the spectral characteristics, experience, land utilization condition information, morphology, cultivated land productivity survey data and other background information, the extracted rules of each cultivated land type was established. The results showed that the classification accuracy of this method was high, which could reach up to 88.57%, and the automatic and fast classification with high accuracy of the region was realized. This method can be a reference for the regions with the similar situation.
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