无人机遥感影像的城市绿地信息提取Information extraction of urban green space based on UAV remote sensing image
杨柳;陈延辉;岳德鹏;冯仲科;
摘要(Abstract):
针对传统人工城市绿地调查费时、费力等问题,该文提出了一种利用无人机遥感进行城市绿地信息提取的思路和方法。设计构建了基于固定翼无人机平台的遥感系统,对宁波市部分区域进行航飞实验。采用PixelGrid软件对无人机影像进行了预处理,得到测区正射影像。采用基于像元统计特征分类和面向对象分类两种方法,对研究区进行绿地信息快速提取并进行了精度验证。研究结果表明,利用最大似然分类法和归一化绿红差异指数法提取精度最高,分别为81.73%和80.23%。
关键词(KeyWords): 无人机;遥感;信息提取;城市绿地
基金项目(Foundation): 国家自然科学基金项目(41371001);; 平顶山学院青年科研基金项目(PDSU-QNJJ-2013007)
作者(Authors): 杨柳;陈延辉;岳德鹏;冯仲科;
DOI: 10.16251/j.cnki.1009-2307.2017.02.012
参考文献(References):
- [1]姚静,武文波,康停军.基于TM影像的城市绿地信息提取方法研究[J].测绘科学,2010,35(1):113-115.(YAO Jing,WU Wenbo,KANG Tingjun.Extraction method of urban vegetation information based on TM image[J].Science of Surveying and Mapping,2010,35(1):113-115.)
- [2]赵丽丽,赵云升,张建辉,等.基于ETM+的深圳市绿地信息提取方法研究[J].遥感技术与应用,2005,20(6):596-600.(ZHAO Lili,ZHAO Yunsheng,ZHANG Jianhui,et al.A study on methods of obtaining greenland information based on ETM+in Shenzhen city[J].Remote Sensing Technology and Application,2005,20(6):596-600.)
- [3]费鲜芸,张志国,高祥伟.城市绿地信息提取遥感影像尺度效应分析[J].测绘科学,2009,34(5):136-138.(FEI Xianyun,ZHANG Zhiguo,GAO Xiangwei.The scale effect analysis in urban green space information obtaining using high spatial remote sensing image[J].Science of Surveying and Mapping,2009,34(5):136-138.)
- [4]许康,卢刚,郭雪瑶,等.基于资源三号卫星遥感影像的城市绿地提取[J].测绘与空间地理信息,2015,38(5):85-88.(XU Kang,LU Gang,GUO Xueyao,et al.Urban green space extraction form ZY-3satellite images[J].Geomatics&Spatial Information Technology,2015,38(5):85-88.)
- [5]国家建设部.城建[2000]106号国家园林城市标准[S].[出版地不详]:[出版者不详],2000.(National Ministry of Construction.Urban construction[2002]No.106national garden city standard[S].[S.l.]:[s.n.],2000.)
- [6]梅安新,彭望碌,奏其明,等.遥感导论[M].北京:高等教育出版社,2001.(MEI Anxin,PENG Wanglu,QIN Qiming,et al.An introduction to remote sensing[M].Beijing:Higher Education Press,2001.)
- [7]TORRES-SANCHEZ J,PENA J M,DE CASTRO A,et al.Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV[J].Computers and Electronics in Agriculture,2014,103(2):104-113.
- [8]龙满生,何东健.玉米苗期杂草的计算机识别技术研究[J].农业工程学报,2007,23(7):139-143.(LONG Mansheng,HE Dongjian.Weed identification from corn seedling based on computer vision[J].Transactions of the Chinese Society of Agricultural Engineering,2007,23(7):139-143.)
- [9]江洪,汪小钦,吴波,等.地形调节植被指数构建及在植被覆盖度遥感监测中的应用[J].福州大学学报:自然科学版,2010,38(4):527-532.(JIANG Hong,WANG Xiaoqin,WU Bo,et al.A topography-adjusted vegetation index(TAVI)and its application in vegetation fraction monitoring[J].Journal of Fuzhou University:Nature Science,2010,38(4):527-532.)
- [10]GEORGE E M,JOAO C N.Verification of color vegetation indices for automated crop image application[J].Computers and Electronics in Agriculture,2008,63(2):282-293.
- [11]汪小钦,王苗苗,王绍强,等.基于可见光波段无人机遥感的植被信息提取[J].农业工程学报,2015,31(5):152-160.(WANG Xiaoqin,WANG Miaomiao,WANG Shaoqiang,et al.Extraction of vegetation information from visible unmanned aerial vehicle images[J].Transactions of the Chinese Society of Agricultural Engineering,2015,31(5):152-159.)