基于高分二号遥感影像的东北地区村庄建设用地提取
|
摘要
准确高效地识别和测算村庄建设用地的类型及数量,可以为村镇规划、村庄整治等提供依据。为研究应用高分二号遥感影像提取村庄建设用地的技术方法,选取吉林省长春市和松原市的两个村庄作为典型研究区,针对遥感影像的不同时相特征,分别采用直接提取法和间接提取法进行村庄建设用地提取试验。结果表明,高分二号遥感影像可以应用于村庄建设用地的精确识别。直接提取法以支持向量机的监督分类法效果最优,可作为精确提取地类的方法;基于植被指数并辅以归一化蓝色屋顶指数的间接提取法,适合村庄建设用地的快速估算。
The rural planning and land consolidation rely on the accurate information of rural construction land. To accurately measure the existing rural construct land area, two villages which in Changchun area and Songyuan area of Jilin province with different phases were selected as typical study areas. GF-2 remote sensing images were used as data source to study on the method of extracting rural construction land by direct extraction and indirect extraction respectively. The experimental results showed that GF-2 high-resolution remote sensing images can be used to identify the construction land inside of village accurately. SVM supervised classification, the best way of the direct extraction methods, is used in accurate extraction. The indirect extraction based on NDVI combined with NDBBI is a good fit for rapid estimation of village construction land area.
The rural planning and land consolidation rely on the accurate information of rural construction land. To accurately measure the existing rural construct land area, two villages which in Changchun area and Songyuan area of Jilin province with different phases were selected as typical study areas. GF-2 remote sensing images were used as data source to study on the method of extracting rural construction land by direct extraction and indirect extraction respectively. The experimental results showed that GF-2 high-resolution remote sensing images can be used to identify the construction land inside of village accurately. SVM supervised classification, the best way of the direct extraction methods, is used in accurate extraction. The indirect extraction based on NDVI combined with NDBBI is a good fit for rapid estimation of village construction land area.
引文
[1]陈玉福,孙虎,刘彦随.中国典型农区空心村综合整治模式[J]地理学报,2010,65(6):727-735.
[2]董国栋.基于多源遥感数据的农村居民点用地提取技术[J].山东国土资源,2015,31(3):63-66,70.
[3]朱玉碧.村庄建设用地整理运作及制度创新研究[D].重庆:西南大学,2012.
[4]蓝丽梅,谢卫玲.土地整治理论潜力研究的浅思[J].企业科技与发展,2016(5):216-218.
[5]TD/T 10142007,第二次全国土地调查技术规程[S].
[6]GB-T21010-2007,土地利用现状分类标准[S].
[7]李晓雪,薛继斌.土地整治中村庄建设用地整治潜力测算的探讨[J].经济研究导刊,2013(12):44-45.
[8]党慧,郑新奇,白书建,等.农村居民点集约用地潜力测算方法研究[J].地域研究与开发,2016,35(5):124-127.
[9]郑新奇.农村居民点集约用地---调查、评价、模式、管理[M].北京:中国大地出版社,2011.
[10]杜培军,夏俊士,薛朝辉,等.高光谱遥感影像分类研究进展[J].遥感学报,2016,20(2):236-256.
[11]中国资源卫星应用中心.高分二号[EB/OL].http://www.cresda.com/CN/Satellite/3128.shtml.
[12]樊文锋,李鸿洲,温奇,等.高分二号卫星影像正射纠正精度分析[J].测绘通报,2016(9):63-66.
[13]李静.基于GF-2的新疆巴州地区主要地物类型信息提取方法研究[D].北京:北京林业大学,2016.
[14]胡茂莹.基于高分二号遥感影像面向对象的城市房屋信息提取方法研究[D].长春:吉林大学,2016.
[15]朱玉凯,牛春舟.东北地区旅游资源型村落的公共空间景观形态构建---以渤海镇小朱家村旅游景观规划为例[J].东北农业科学,2017,42(4):59-62.
[16]汤璐.基于空间句法的东北村落空间形态设计策略研究[D].哈尔滨:哈尔滨工业大学,2015.
[17]张天悦.东北寒地农村住区建筑组团及院落风环境优化策略研究[D].哈尔滨:哈尔滨工业大学,2014.
[18]贺雪峰.论中国村庄结构的东部与中西部差异[J].学术月刊,2017,49(6):111-119.
[19]王忠武,刘顺喜,戴建旺,等.高分二号卫星数据在新增建设用地监测中的应用分析[J].航天器工程,2015,24(6):134-139.
[20]SILVA CSP,MARCAL A R S,PEREIRA M A,et al.Separability analysis of color classes on dermoscopic images[J].Springer Berlin Heidelberg,2012,7325(10):268-277
[21]亓呈明.基于多核学习的高光谱遥感影像分类方法研究[D].北京:中国地质大学(北京),2016.
[22]WARDLEY N.Vegetationindex variability as a function of viewing geometry[J].International Journal of Remote Sensing,1984,5(5):861-870.
[2]董国栋.基于多源遥感数据的农村居民点用地提取技术[J].山东国土资源,2015,31(3):63-66,70.
[3]朱玉碧.村庄建设用地整理运作及制度创新研究[D].重庆:西南大学,2012.
[4]蓝丽梅,谢卫玲.土地整治理论潜力研究的浅思[J].企业科技与发展,2016(5):216-218.
[5]TD/T 10142007,第二次全国土地调查技术规程[S].
[6]GB-T21010-2007,土地利用现状分类标准[S].
[7]李晓雪,薛继斌.土地整治中村庄建设用地整治潜力测算的探讨[J].经济研究导刊,2013(12):44-45.
[8]党慧,郑新奇,白书建,等.农村居民点集约用地潜力测算方法研究[J].地域研究与开发,2016,35(5):124-127.
[9]郑新奇.农村居民点集约用地---调查、评价、模式、管理[M].北京:中国大地出版社,2011.
[10]杜培军,夏俊士,薛朝辉,等.高光谱遥感影像分类研究进展[J].遥感学报,2016,20(2):236-256.
[11]中国资源卫星应用中心.高分二号[EB/OL].http://www.cresda.com/CN/Satellite/3128.shtml.
[12]樊文锋,李鸿洲,温奇,等.高分二号卫星影像正射纠正精度分析[J].测绘通报,2016(9):63-66.
[13]李静.基于GF-2的新疆巴州地区主要地物类型信息提取方法研究[D].北京:北京林业大学,2016.
[14]胡茂莹.基于高分二号遥感影像面向对象的城市房屋信息提取方法研究[D].长春:吉林大学,2016.
[15]朱玉凯,牛春舟.东北地区旅游资源型村落的公共空间景观形态构建---以渤海镇小朱家村旅游景观规划为例[J].东北农业科学,2017,42(4):59-62.
[16]汤璐.基于空间句法的东北村落空间形态设计策略研究[D].哈尔滨:哈尔滨工业大学,2015.
[17]张天悦.东北寒地农村住区建筑组团及院落风环境优化策略研究[D].哈尔滨:哈尔滨工业大学,2014.
[18]贺雪峰.论中国村庄结构的东部与中西部差异[J].学术月刊,2017,49(6):111-119.
[19]王忠武,刘顺喜,戴建旺,等.高分二号卫星数据在新增建设用地监测中的应用分析[J].航天器工程,2015,24(6):134-139.
[20]SILVA CSP,MARCAL A R S,PEREIRA M A,et al.Separability analysis of color classes on dermoscopic images[J].Springer Berlin Heidelberg,2012,7325(10):268-277
[21]亓呈明.基于多核学习的高光谱遥感影像分类方法研究[D].北京:中国地质大学(北京),2016.
[22]WARDLEY N.Vegetationindex variability as a function of viewing geometry[J].International Journal of Remote Sensing,1984,5(5):861-870.