应用面向对象的高分辨率遥感数据提取城市绿地
|
摘要
绿化建设是一个城市建设的重要工作,城市绿地覆盖率是衡量一个城市绿化程度最主要的指标,高分辨率遥感影像给城市绿地覆盖率计算提供了更为有效、便捷的手段。本文以南京市某区域为研究对象,基于RS和GIS等技术手段,采用面向对象的方法,在不同的尺度利用光谱特征并采用针对性的算法提取出了精度较高的QuickBird和IKONOS高分辨率遥感影像的城市绿地。最后通过对比和分析两者的精度,证明面向对象的方法是有效的。
Greening construction is an important task for urban construction.Urban green land coverage is the most important index for measuring a city's greening degree.High-resolution remote sensing images provide a more effective and convenient means for urban green land coverage calculation.Based on RS and GIS techniques,this paper uses object-oriented methods to extract spectral features from different scales and uses targeted algorithms to extract urban greenbelts of QuickBird satellite IKONOS and high-resolution remote sensing images in a certain area of Nanjing City.The accuracy is relatively close.
Greening construction is an important task for urban construction.Urban green land coverage is the most important index for measuring a city's greening degree.High-resolution remote sensing images provide a more effective and convenient means for urban green land coverage calculation.Based on RS and GIS techniques,this paper uses object-oriented methods to extract spectral features from different scales and uses targeted algorithms to extract urban greenbelts of QuickBird satellite IKONOS and high-resolution remote sensing images in a certain area of Nanjing City.The accuracy is relatively close.
引文
[1]刘亚岚,阎守邕,王涛,等.遥感图像分区自动分类方法研究[J].遥感学报,2002,6(5):357-362.
[2]李成范,尹京苑,赵俊娟.一种面向对象的遥感影像城市绿地提取方法[J].测绘科学,2011,36(5):112-120.
[3]严海英.基于对象的城市绿地信息提取技术的研究[J].地理空间信息,2008,6(2):84-90.
[4]周春艳,王萍,张振勇.基于面向对象信息提取技术的城市用地分类[J].遥感技术与应用,2008,23(l):32-33.
[5]黄慧萍,吴炳方,李苗苗,等.高分辨率影像城市绿地快速提取技术与应用[J].遥感学报,2004,8(1):68-74.
[6]BAUER T,STEINNOCHER K.Per-Parcel Land Use Classification in Urban Areas Applying a Rule Based Technique[J].GeoBIT/GIS,2001(6):12-27.
[7]HOFINARM P.Detecting Informal Settlements from IKONOS Image Data Using Methods of Object-oriented Image Analysis an Example from Cape Town(South Africa),Remote Sensing of Urban Areas/Femerkudung in Urbanen Raumen.Regens-burg[C].ed.by JUR-GENS,C.,2001:41-42.
[8]刘振波,陈瑞萍,赵晓慧.利用高空间分辨率遥感影像提取城市绿地信息的方法研究[J].池州学院学报,2011,25(3):58-60.
[9]蔡彩.基于高分辨率遥感影像的城市不透水层提取研究进展浅析[J].北京测绘,2018,32(9):1007-1014.
[10]杨瀚,许佳宾,黄鹤,等.无人船测绘系统对大宁水库的水下地形测绘[J].北京测绘,2017(S2):51-54.
[11]陈红顺,贺辉,肖红玉.基于高空间分辨率遥感影像的城市绿地提取方法研究[J].环境科学与管理,2016,41(10):25-27.
[2]李成范,尹京苑,赵俊娟.一种面向对象的遥感影像城市绿地提取方法[J].测绘科学,2011,36(5):112-120.
[3]严海英.基于对象的城市绿地信息提取技术的研究[J].地理空间信息,2008,6(2):84-90.
[4]周春艳,王萍,张振勇.基于面向对象信息提取技术的城市用地分类[J].遥感技术与应用,2008,23(l):32-33.
[5]黄慧萍,吴炳方,李苗苗,等.高分辨率影像城市绿地快速提取技术与应用[J].遥感学报,2004,8(1):68-74.
[6]BAUER T,STEINNOCHER K.Per-Parcel Land Use Classification in Urban Areas Applying a Rule Based Technique[J].GeoBIT/GIS,2001(6):12-27.
[7]HOFINARM P.Detecting Informal Settlements from IKONOS Image Data Using Methods of Object-oriented Image Analysis an Example from Cape Town(South Africa),Remote Sensing of Urban Areas/Femerkudung in Urbanen Raumen.Regens-burg[C].ed.by JUR-GENS,C.,2001:41-42.
[8]刘振波,陈瑞萍,赵晓慧.利用高空间分辨率遥感影像提取城市绿地信息的方法研究[J].池州学院学报,2011,25(3):58-60.
[9]蔡彩.基于高分辨率遥感影像的城市不透水层提取研究进展浅析[J].北京测绘,2018,32(9):1007-1014.
[10]杨瀚,许佳宾,黄鹤,等.无人船测绘系统对大宁水库的水下地形测绘[J].北京测绘,2017(S2):51-54.
[11]陈红顺,贺辉,肖红玉.基于高空间分辨率遥感影像的城市绿地提取方法研究[J].环境科学与管理,2016,41(10):25-27.