基于Pleiades-1高分辨率卫星影像的干旱沙区遥感影像分类——以甘肃民勤青土湖为例

研究旨在应用高分辨率遥感卫星影像对干旱沙区的植被进行调查、监测和统计。以甘肃省民勤县石羊河下游的青土湖为研究对象，运用法国Pleiades-1卫星的影像数据，通过面向对象分类方法对沙区的植被信息进行提取分类，对分类结果进行精度评价。结果表明，面向对象分类的方法提取精度达到95%，Kappa系数为0.8035，分类结果精度较高，有效地避免了基于像素分类方法的噪声和光谱的影响，具有极强的实用性，为高分辨率卫星影像分类提供了新的思路和方法。

Classification of Arid Sand Remote Sensing Image Based on Pleiades-1 High Resolution Satellite Image: A Case Study of Qingtu Lake in Minqin County of Gansu Province

The paper aims to study the application of high resolution remote sensing satellite image to the investigation, monitoring and statistics of arid sand vegetation. The author took Qingtu Lake located in the downstream of Shiyang River in Minqin County of Gansu Province as the study object, used the French Pleiades-1 satellite image data, and adopted the object oriented classification method, to extract and classify information of vegetation in desert area and evaluate the accuracy of the classification results. The results showed that the overall classification accuracy of object-oriented information extraction reached 95%, Kappa coefficient reached 0.8035. The classification results had high accuracy, effectively avoided the noise and spectral image based on pixel classification method, and had very strong practicability, providing a new idea and method for the high resolution satellite image classification.