Extraction of Distribution Information on Production and Construction Projects in Construction Period Based on Muti-temporal GF-1 Images

KANG Rui; SHI Mingchang; ZHAO Yuan; LUO Zhidong; WANG Xiaojing; LIU Erjia

doi:10.13961/j.cnki.stbctb.2016.03.044

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Extraction of Distribution Information on Production and Construction Projects in Construction Period Based on Muti-temporal GF-1 Images

- Extraction of Distribution Information on Production and Construction Projects in Construction Period Based on Muti-temporal GF-1 Images
- Bulletin of Soiland Water Conservation Vol. 36, Issue 3, Pages: 253-257(2016)
- 作者机构：
  
  1. 北京林业大学林学院,北京,100083
  2. 水利部水土保持监测中心,北京,100055
  3. 北京地拓科技发展有限公司,北京,100084
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2016.03.044
  CLC：
- Published：2016
- 稿件说明：
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KANG Rui, SHI Mingchang, ZHAO Yuan, et al. Extraction of Distribution Information on Production and Construction Projects in Construction Period Based on Muti-temporal GF-1 Images[J]. Bulletin of Soiland Water Conservation, 2016, 36(3): 253-257.
DOI：

KANG Rui, SHI Mingchang, ZHAO Yuan, et al. Extraction of Distribution Information on Production and Construction Projects in Construction Period Based on Muti-temporal GF-1 Images[J]. Bulletin of Soiland Water Conservation, 2016, 36(3): 253-257. DOI： 10.13961/j.cnki.stbctb.2016.03.044.

摘要

［目的］开展基于高分遥感的生产建设项目提取技术的研究，全面、及时地掌握生产建设项目分布信息，满足水土保持监管的迫切需求。［方法］以陕西省榆林市的部分区域为研究区，利用2013和2014年两个时相的GF-1影像，通过面向对象的直接比较法，提取变化信息，并结合光谱、形状等特征，去除伪变化，获取区域范围内新增的裸地和不透水面。另外，结合专家知识，提取疑似施工期生产建设项目信息。［结果］新增裸地和不透水面的发现精度达到83.53%，疑似施工期生产建设项目的发现精度为95.56%。［结论］该方法能够有效地提取施工期生产建设项目分布信息。

Abstract

[Objective] To study the technologies on the extraction of information on the production and construction projects based on the high resolution remote sensing data in order to provide a quick way to timely capture the overall information on the distribution of production and construction projects

and to monitor soil and water conservation.[Methods] Taking some areas in Yulin City of Shaanxi Province as the study area

using GF-1 images acquired in 2013 and 2014

we used the object-oriented direct comparison method to extract the change information. Then combined with spectrum analysis and shape characteristics

pseudo changes were removed

and new bare land and impervious surface were acquired. In addition

with the help of expert knowledge

the distribution information of possible production and construction projects in the construction period was obtained.[Results] The accuracy of new bare land and impervious surface reached 83.53%

and the accuracy of possible production and construction projects in the construction period reached 95.56%.[Conclusion] This method can effectively extract the distribution information on production and construction projects in the construction period.

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references

尚红英,陈建平,李成尊,等.RS在矿山动态监测中的应用:以新疆稀有金属矿集区为例[J].遥感技术与应用,2008,23(2):189-194.

夏乐.遥感技术在矿山开发监测中的应用[D].北京:中国地质大学,2008.

李思发,李亮,赵伟立.GeoEye-1在矿山开发遥感调查中的应用[J].工程地球物理学报,2011,8(5):631-634.

李琴.基于GeoEye-1的矿山开发遥感调查与监测应用研究[J].安徽地质,2012,22(4):297-301.

南竣祥.宣威煤矿区矿山开发遥感调查研究[D].北京:中国地质大学,2012.

王娟,张建国,杨自安,等.遥感技术在甘肃省重点矿山开发调查与监测中的应用[J].矿产勘查,2014,5(2):312-321.

施丽军.甘肃拾金坡金矿区矿山遥感监测及其Web管理系统的实现[D].长沙:中南大学,2013.

郑晶.无证矿山的遥感监测[D].北京:中国地质大学,2013.

孙晓霞,张继贤,燕琴,等.遥感影像变化检测方法综述及展望[J].遥感信息,2011,26(1):119-123.

唐朴谦,杨建宇,张超,等.基于像素比值的面向对象分类后遥感变化检测方法[J].遥感信息,2010,25(1):69-72.

祝锦霞,王珂.面向对象的高分辨率影像变化检测方法研究[J].农业机械学报,2013,44(4):184-189.

佃袁勇,方圣辉,姚崇怀.一种面向地理对象的遥感影像变化检测方法[J].武汉大学学报:信息科学版,2014,39(8):906-912.

夏朝旭,何政伟,于欢,等.面向对象的土地覆被变化检测研究[J].遥感技术与应用,2014,29(1):106-113.

于信芳,罗一英,庄大方,等.土地覆盖变化检测方法比较:以内蒙古草原区为例[J].生态学报,2014,34(24):7192-7201.

张正健,李爱农,雷光斌,等.基于多尺度分割和决策树算法的山区遥感影像变化检测方法:以四川攀西地区为例[J].生态学报,2014,34(24):7222-7232.

Kindu M, Schneider T, Teketay D, et al. Land use/land cover change analysis using object-based classification approach in Munessa-Shashemene landscape of the Ethiopian Highlands[J]. Remote Sensing, 2013,5(5):2411-2435.

H lbling D, Friedl B, Eisank C. An object-based approach for semi-automated landslide change detection and attribution of changes to landslide classes in northern Taiwan[J]. Earth Science Informatics, 2015,8(2):327-335.

Martha T R , Kamala P, Jose J, et al. Identification of new landslides from high resolution satellite data covering a large area using object-based change detection methods[J]. Indian Society of Remote Sensing, 2016,44(1):1-10.

黄慧萍.面向对象影像分析中的尺度问题研究[D].北京:中国科学院遥感应用研究所,2003.

王露.面向对象的高分辨率遥感影像多尺度分割参数及分类研究[D].长沙:中南大学,2014.

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