摘要
为快速获取土地利用类型的变化信息,科学合理利用和保护土地资源,文章以黑龙江省鸡西市鸡冠区为研究对象,对该区域土地利用类型进行变化监测,并对比了几种常用监督分类算法的分类精度。最终得出最大似法适合本区域土地利用分类,将分类结果对比发现,2017年较2011年:建设用地与植被面积有所增加,耕地与水域的面积有所减少。
In order to quickly obtain the change information of land use type,scientifically and rationally use and protect land resources,this paper takes Jiguan District of Jixi City,Heilongjiang Province as the research object,monitors the change of land use types in this area,and compares the classification accuracy of several commonly used supervised classification algorithms.Finally,it is concluded that the maximum likeness method is suitable for land use classification in this region.By comparing the classification results,it is found that the area of construction land and vegetation increased in 2017 compared with 2011,while the area of cultivated land and water decreased.
作者
柳佳
徐慧宇
范璞然
LIU Jia;XU Hui-yu;FAN Pu-ran(College of Geodesy and Geomatics,Shandong University of Science and Technology)
出处
《智能建筑与智慧城市》
2021年第8期16-17,共2页
Intelligent Building & Smart City
关键词
土地利用
变化监测
监督分类
分类精度
land use
change monitoring
supervisory classification
classification accuracy
