基于GF-1影像面向对象分类方法的水稻种植信息提取研究
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摘要
应用遥感技术提取水稻种植信息是农业遥感的重要内容。GF-1卫星WFV数据为农业信息提取提供了新的途径,面向对象的分类方法是遥感解译的重要方法。本研究以扬州市为研究区域,基于GF-1影像WFV数据,采用面向对象的分类方法,提取水稻种植信息,并实地调查验证试验结果,试图探讨GF-1数据面向对象分类方法在水稻种植信息提取中的可行性与影响提取精度的因素。结果表明,应用GF-1数据,采用面向对象的分类方法能够很好地完成扬州市水稻种植信息的提取,2016年扬州市有水稻种植面积214 524 hm~2,总体精度达到98.5%,Kappa系数0.95,面积精度达97.5%;实地考察能够提高提取精度,地形破碎程度越低,提取精度越高。
Rice planting information extraction by remote sensing is an important part of agricultural remote sensing.GF-1 satellite WFV data provides a new way for agricultural information extraction,object-oriented classification method is an important method of remote sensing interpretation.This research takes Yangzhou as the research area,based on the GF-1 image data,uses the object-ori-ented classification method,extracts the rice planting information,and carries on the field investigation verification test result.The feasibility of GF-1 data oriented object classification in extracting rice planting information and the factors affecting extraction preci-sion are discussed.The results showed that GF-1 data can be used to extract rice planting information in Yangzhou by object-oriented classification method.Rice planting area was 214 524 hm~2 in Yangzhou City,the overall accuracy of rice was 98.5%,Kappa coefficient was 0.95,area accuracy was 97.5%.Field investigation can improve the extraction accuracy.The degree of terrain fragmentation affects the extraction accuracy,with the decrease of terrain fragmentation,the extraction accuracy is increased.
Rice planting information extraction by remote sensing is an important part of agricultural remote sensing.GF-1 satellite WFV data provides a new way for agricultural information extraction,object-oriented classification method is an important method of remote sensing interpretation.This research takes Yangzhou as the research area,based on the GF-1 image data,uses the object-ori-ented classification method,extracts the rice planting information,and carries on the field investigation verification test result.The feasibility of GF-1 data oriented object classification in extracting rice planting information and the factors affecting extraction preci-sion are discussed.The results showed that GF-1 data can be used to extract rice planting information in Yangzhou by object-oriented classification method.Rice planting area was 214 524 hm~2 in Yangzhou City,the overall accuracy of rice was 98.5%,Kappa coefficient was 0.95,area accuracy was 97.5%.Field investigation can improve the extraction accuracy.The degree of terrain fragmentation affects the extraction accuracy,with the decrease of terrain fragmentation,the extraction accuracy is increased.
引文
[1]王启田,林祥国,王志军,等.利用面向对象分类方法提取冬小麦种植面积的研究[J].测绘科学,2008,33(2):143-146.
[2]周春艳,王萍,张振勇,等.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(1):31-35.
[3]王利民,刘佳,杨福刚,等.基于GF-1卫星遥感的冬小麦面积早期识别[J].农业工程学报,2015,31(11):194-201.
[4]黄振国,杨君.高分一号卫星影像监测水稻种植面积研究综述[J].湖南农业科学,2014(13):76-78.
[5]汤传勇,卢远.利用面向对象的分类方法提取水稻种植面积[J].遥感信息,2010(1):53-56.
[6]李根,景元书,王琳,等.基于MODIS时序植被指数和线性光谱混合模型的水稻面积提取[J].大气科学学报,2014,37(1):119-126.
[7]陈燕丽,莫伟华,莫建飞,等.基于面向对象分类的南方水稻种植面积提取方法[J].遥感技术与应用,2011,26(4):163-168.
[8]2015年中国统计年鉴.农作物播种面积-主要农作物产品产量[EB/OL].http://www.stats.gov.cn/tjsj/ndsj/2015/indexch.htm.
[9]刘珍环,李正国,唐鹏钦,等.近30年中国水稻种植区域与产量时空变化分析[J].地理学报.2013,68(5):680-693.
[10]李卫国,蒋楠.基于面向对象分类的冬小麦种植面积提取[J].麦类作物学报,2012,32(4):701-705.
[11]中国扬州.自然地理[EB/OL].http://www.yangzhou.gov.cn/yzgk/lmtt.shtml.
[12]中国资源卫星应用中心.高分一号[EB/OL].http://www.cresd a.com/CN/Satell-ite/3076.shtml,2014-10-15,2016-03-15.
[13]王昌满,赵俊三.面向对象的遥感影像水田信息提取方法研究[J].价值工程,2014(5):206-208.
[14]谭衢霖,刘正军,沈伟.一种面向对象的遥感影像多尺度分割方法[J].北京交通大学学报.2007,31(4):111-114.
[2]周春艳,王萍,张振勇,等.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(1):31-35.
[3]王利民,刘佳,杨福刚,等.基于GF-1卫星遥感的冬小麦面积早期识别[J].农业工程学报,2015,31(11):194-201.
[4]黄振国,杨君.高分一号卫星影像监测水稻种植面积研究综述[J].湖南农业科学,2014(13):76-78.
[5]汤传勇,卢远.利用面向对象的分类方法提取水稻种植面积[J].遥感信息,2010(1):53-56.
[6]李根,景元书,王琳,等.基于MODIS时序植被指数和线性光谱混合模型的水稻面积提取[J].大气科学学报,2014,37(1):119-126.
[7]陈燕丽,莫伟华,莫建飞,等.基于面向对象分类的南方水稻种植面积提取方法[J].遥感技术与应用,2011,26(4):163-168.
[8]2015年中国统计年鉴.农作物播种面积-主要农作物产品产量[EB/OL].http://www.stats.gov.cn/tjsj/ndsj/2015/indexch.htm.
[9]刘珍环,李正国,唐鹏钦,等.近30年中国水稻种植区域与产量时空变化分析[J].地理学报.2013,68(5):680-693.
[10]李卫国,蒋楠.基于面向对象分类的冬小麦种植面积提取[J].麦类作物学报,2012,32(4):701-705.
[11]中国扬州.自然地理[EB/OL].http://www.yangzhou.gov.cn/yzgk/lmtt.shtml.
[12]中国资源卫星应用中心.高分一号[EB/OL].http://www.cresd a.com/CN/Satell-ite/3076.shtml,2014-10-15,2016-03-15.
[13]王昌满,赵俊三.面向对象的遥感影像水田信息提取方法研究[J].价值工程,2014(5):206-208.
[14]谭衢霖,刘正军,沈伟.一种面向对象的遥感影像多尺度分割方法[J].北京交通大学学报.2007,31(4):111-114.