摘要
针对城市建设用地的提取问题,以唐山市路南区landsat8 OLI遥感影像为研究对象,分别采用面向对象分类法和神经网络监督分类法进行建设用地提取实验和精度评价。结果表明,2种方法的提取精度均为80%以上,验证了2种方法在提取建设用地方面的有效性,同时对2种方法进行比较,表明神经网络监督分类法在提取建设用地方面效果更优。
For the problem of urban construction land acquisition,the landsat8 OLI remote sensing image of Lunan District of Tangshan City was taken as the research object.The object classification method and the neural network supervised classification method were used for the construction land extraction experiment and the accuracy evaluation.The extraction precision of the two methods is more than 80%,which verifies the effectiveness of the two methods in extracting the construction land,and simultaneously performs the two methods.In comparison,the neural network supervised classification is better.
作者
董元
方良义
董梦
张令涛
魏月茹
DONG Yuan;FANG Liang-yi;DONG Meng;ZHANG Ling-tao;WEI Yue-ru(College of Mining Engineering,North China University of Science and Technology,Tangshan Hebei 063210,China;China Communications Fourth Navigation Bureau Zhuhai Engineering Co.,Ltd.,Zhuhai Guangdong 519085,China;School of Arts and Law,Beijing University of Chemical Technology,Beijing 100029,China)
出处
《华北理工大学学报（自然科学版）》
CAS
2020年第1期7-13,19,共8页
Journal of North China University of Science and Technology：Natural Science Edition
