基于遥感影像分割单元的土地利用变化快速检测方法

doi:10.3969/j.issn.1000-2006.2015.03.001

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南京林业大学学报（自然科学版） ›› 2015, Vol. 39 ›› Issue (03): 1-5.doi: 10.3969/j.issn.1000-2006.2015.03.001

基于遥感影像分割单元的土地利用变化快速检测方法

王志杰

南京林业大学土木工程学院,江苏南京 210037

出版日期:2015-05-30 发布日期:2015-05-30
基金资助:
收稿日期:2014-05-01 修回日期:2015-01-07
基金项目:国土资源公益性行业科研专项项目(201211028-6)
第一作者:王志杰,讲师,博士。E-mail: stampabc@126.com。
引文格式:王志杰. 基于遥感影像分割单元的土地利用变化快速检测方法[J]. 南京林业大学学报:自然科学版,2015,39(3):1-5.

Rapid detection method for land use change based on remote sensing images segmentation units

WANG Zhijie

College of Civil Engineering, Nanjing Forestry University,Nanjing 210037, China

Online:2015-05-30 Published:2015-05-30

摘要/Abstract

摘要： 针对土地利用变化动态监测的实际业务需求,提出一种土地利用变化快速检测方法,即基于同一区域土地利用现状图与高分辨率遥感影像进行叠加分析,通过土地利用现状图图斑边界对高分辨率遥感影像进行分割,并对分割单元的像素灰度值进行统计分析,以此判断图斑内对应的土地利用是否发生变化,从而提取影像发生变化区域范围。以某城市局部区域土地利用变化监测为例,通过对该区域2013年高精度遥感影像与2012年土地利用现状图叠加分析,对938个图斑进行土地利用变化检测,发现变化图斑12个。其中,8个为实际发生变化图斑,4个为错判,无漏判。实验结果表明:该方法能快速、有效地实现土地利用变化信息的检测和提取,并适用于识别提取新增建设用地占用农林用地的情况。

Abstract: Because of actual demand of land use change supervision, a method for quick detection of land use change is presented. This is the analysis of the remotely sensed imagery that is overlapped with corresponding land-use map. The image is segmented by pattern spots in the presented land-use map, and the gray level of pixel of every segment unit is obtained by statistics and analysis. Then, the land use of pattern spot is judged whether it has changed. Finally, the changed pattern spots in remotely sensed imagery are extracted. The high-resolution remotely sensed imagery of 2013 and present land-use map of 2012 from a certain county are selected as an example to extract the section. Results showed that among 938 experiment pattern spots, 12 pattern spots are judged to be changed, among 12 pattern spots, eight of them are changed actually, four of them are not changed actually, and no actually changed pattern spots are ignored. The experiment showed that the method could quickly and effectively detect and extract the information of land use change, especially was suit for the situation of farmland which was changed to be construction land.

中图分类号:

F301.2
P208

王志杰. 基于遥感影像分割单元的土地利用变化快速检测方法[J]. 南京林业大学学报（自然科学版）, 2015, 39(03): 1-5.

WANG Zhijie. Rapid detection method for land use change based on remote sensing images segmentation units[J].Journal of Nanjing Forestry University (Natural Science Edition), 2015, 39(03): 1-5.DOI: 10.3969/j.issn.1000-2006.2015.03.001.

参考文献

[1] Singh A. Review article digital change detection techniques using remotely-sensed data [J]. International Journal of Remote Sensing, 1989, 10(6): 989-1003.
[2] 马建文,田国良,王卡耀,等.遥感变化检测技术发展综述[J]. 地球科学进展,2004(4):192-196.Ma J W, Tian G L, Wang K Y. Review of the development of remote sensing change detection technology[J]. Advance in Earth Sciences, 2004(4): 192-196.
[3] 李卫正,艾畅,彭世揆.一种利用地形图和遥感影像提取小班界线的方法[J].南京林业大学学报:自然科学版,2009,33(2):69-72.Li W Z, Ai C, Peng S K. A method to extract the subcompartment boundary from contour of the relief map supported using GIS technology [J]. Journal of Nanjing Forestry University:Natural Sciences Edition, 2009,33(2):69-72.
[4] 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(1):119-122.Sun X X,Zhang J X, Yan Q, et al. A summary on current techniques and prospects of remote sensing change detection [J]. Remote Sensing Information, 2011(1):119-122.
[5] 施向丰,帅梅琴,申劲松.基于多时相遥感图像智能变化检测方法的研究[J].测绘通报, 2012(9): 23-25.Shi X F, Shuai M Q, Shen J S. Study on the intelligent change detection method on the basis of multi-temporal remotely sensed Images [J]. Bulletin of Surveying and Mapping, 2012(9):23-25.
[6] 申邵洪,赖祖龙,万幼川.基于融合的高分辨率遥感影像变化检测[J]. 测绘通报, 2009(3):16-19.Shen S H, Lai Z L, Wang Y C. Change detection of high-resolution RS imagery based on fusion [J]. Bulletin of Surveying and Mapping, 2009(3):16-19.
[7] 钱峻屏,黎夏,叶嘉安,等.基于时空域密度异常的土地利用/土地覆盖短期变化检测[J].遥感学报,2009, 13(3):499-506.Qian J P, Li X, Ye J A, et al. Density-based anomaly detection for short-term land use-land cover change detection using repeat-pass Radarsat images [J]. Journal of Remote Sensing, 2009, 13(3): 499-506.
[8] 李亮,舒宁,王琰.利用归一化互信息进行基于像斑的遥感影像变化检测[J].遥感信息, 2011(6): 18-22.Li L, Shu N, Wang Y. Segment based remote sensing image change detection using normalized mutual information [J]. Remote Sensing Information, 2011(6): 18-22.
[9] Civco D L, Hurd J D, Wilson E H, et al. A comparison of land use and land cover change detection methods[C]//ASPRS-ACSM Annual Conference and FIG XXII Congress, 2002.
[10] 龙玄耀,李培军.基于图像分割的城市变化检测[J].地球信息科学,2008,10(1):121-127.Long X Y, Li P J. A method of urban change detection based on Image segmentation [J]. Geo-information Science, 2008, 10(1):121-127.
[11] 李月臣,陈晋,宫鹏,等.基于NDVI时间序列数据的土地覆盖变化检测指标设计[J]. 应用基础与工程科学学报, 2005,13(3):261-274.Li Y C, Chen J, Gong P, et al. Study on land cover change detection method based on NDVI time series datasets: change detection indexes design [J].Journal of basic Science and Engineering, 2005,13(3):261-274.
[12] 李德仁,夏松,江万寿,等.一种地形变化检测与DEM更新的方法研究[J]. 武汉大学学报:信息科学版, 2006,31(7):565-568.Li D R, Xia S, Jiang W S, et al. Approach for terrain change detection and DEM updating [J]. Geomatics and Information Science of Wuhan University, 2006, 31(7):565-568.
[13] 李德仁,夏松,江万寿.基于正射影像匹配的地形变化检测与更新算法[J]. 地理与地理信息科学, 2006,22(6):9-11.Li D R, Xia S, Jiang W S. Approach for terrain change detection and updating based on orthoimage matching [J]. Geography and Geo-information Science, 2006, 22(6):9-11.
[14] 李向军.遥感土地利用变化检测方法探讨[D]北京:中国科学院遥感应用研究所,2006.Li X J.Study on remote sensing land use change detection methods [D]. Beijing: Institute of Remote Sensing Applications, Chinese Academy of Sciences, 2006.
[15] 盛辉,廖明生,张路.基于典型相关分析的变化检测中变化阈值的确定[J].遥感学报, 2004,8(5):451-457.Sheng H, Liao M S, Zhang L. Determination of threshold in change detection based on canonical correlation analysis [J]. Journal of Remote Sensing,2004,8(5):451-457.

基于遥感影像分割单元的土地利用变化快速检测方法

Rapid detection method for land use change based on remote sensing images segmentation units

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