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利用2014年05月Landsat8 OLI影像数据,以安徽省泗县为研究区,使用ENVI5.1遥感图像处理软件,对Landsat8 OLI影像进行了652波段合成,通过监督分类和非监督分类的分类方法提取宿州市泗县的耕地信息.结果表明:基于Landsat8 OLI数据提取的652波段组合,支持向量机法提取精度达到89.09%,Landsat8 OLI数据可以满足耕地利用及管理中对耕地信息适时获取的要求.
Using Landsat8 OLI image data in May 2014 and Sihe County in Anhui Province as the research area, Landsat8 OLI images were synthesized by using remote sensing image processing software ENVI5.1. The classification of Landsat8 OLI images was performed by using the classification method of unsupervised classification and unsupervised classification. The results showed that the accuracy of support vector machine (SVM) extraction method was 89.09% based on the 652-band combination of Landsat 8 OLI data extraction, and the Landsat 8 OLI data could meet the requirements of arable land acquisition and management in a timely manner.