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作 者:朱凌一 王勇[2] ZHU Lingyi;WANG Yong(Changwang School of Honors,Nanjing University of Information Science and Technology,Nanjing 210044,China;School of Applied Meteorology,Nanjing University of Information Science and Technology,Nanjing 210044,China)
机构地区:[1]南京信息工程大学长望学院,江苏南京210044 [2]南京信息工程大学应用气象学院,江苏南京210044
出 处:《地理空间信息》2023年第10期44-48,共5页Geospatial Information
基 金:国家重点研发计划资助项目(2019YFB2102003)。
摘 要:基于苏南地区2020年月平均NPP-VIIRS夜光遥感影像,构建了基于差值平方函数的城市群建成区提取模型,验证了模型精度,分析了苏南城市群建成区特征,并从面积、混淆矩阵和景观指数等方面对不同方法提取的建成区对比分析,具体结论如下:①构建了基于差值平方函数的城市群建成区提取模型,此法提取的建成区与苏南地区实际建成区分布结果具有高度的一致性;②实现了苏南城市群建成区的提取,苏州面积最大,无锡建成区占比最高;③差值平方法提取的城市建成区面积准确率高于阈值法,差值平方法与阈值法的总体精度相近,而差值平方法的Kappa系数高于阈值法,景观指数更接近实际情况,能够有效提高城市建成区的提取精度。Based on the monthly average NPP-VIIRS nighttime light remote sensing images of southern Jiangsu in 2020,we constructed the urban agglomeration built-up area extraction model based on difference square function,verified the accuracy of model,and analyzed the characteristics of built-up areas of southern Jiangsu urban agglomeration.Then,we compared and analyzed the built-up areas extracted by different methods from area,confusion matrix and landscape index.The results show that①the built-up area extraction model of urban agglomeration based on the difference square function is highly consistent with the actual built-up area distribution in southern Jiangsu.②We extracted the built-up area of southern Jiangsu urban agglomeration and found Suzhou has the largest area and Wuxi has the highest proportion of built-up areas.③The accuracy rate of urban built-up area taken by the difference square method is higher than that of the threshold method.while the Kappa coefficient of difference square method is higher than that of the threshold method.The landscape index of difference square method is closer to the actual situation,which means it can effectively improve the extraction accuracy of urban built-up areas.
分 类 号:P237[天文地球—摄影测量与遥感]
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