遥感影像分类精度评价的研究——以黟县为例

Research on Accuracy Evaluation of Remote Sensing Image Classification——Taking Yi County as an Example

文章以安徽省黄山市黟县的遥感影像为例,以Landsat遥感影像,矢量数据为主要数据来源,结合ENVI,Google Earth等软件,对该区域分别用监督分类中的不同方法进行分类,最后对分类结果进行精度评价.利用不同的分类方法和分类精度评价结果,最终选取精确的分类方式.

The paper carry on the classification of the region using different methods of supervised classifica-tion, which takes the remote sensing images of Yi County in Huangshan, Anhui province as an example, using Landsat remote sensing image and vector data as the main data source and combining with ENV I, Google Earth and other software. Finally, it evaluates the accuracy of the classification results. The article selects the accurate classi-fication by different classification methods and the evaluation results of classification accuracy.