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国产卫星数据在土地利用现状宏观监测中的应用评价

DOI: 10.6046/gtzyyg.2013.01.24, PP. 137-142

Keywords: 中巴资源卫星02B星(CBERS-02B),环境减灾一号卫星(HJ-1),北京一号卫星(BJ-1),宏观监测,土地利用现状

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Abstract:

利用环境减灾一号卫星(HJ-1)、北京一号卫星(BJ-1)和中巴资源卫星02B星(CBERS-02B)3种国产卫星图像,选取全国范围内6个地形各异的地区,进行了土地利用宏观监测分析评估。采用多种现状信息提取方法,从分类方法、样本数量和特征数据对分类精度的影响进行了比较和分析。发现最大似然法简单易行,精度较高且稳定;面向对象法可明显提高HJ-1图像和BJ-1图像的分类精度。基于最大似然法,CBERS-02B图像样本数为50时,分类精度趋于稳定,且Kappa系数可达0.8以上;HJ-1图像和BJ-1图像样本数达60时精度趋于稳定,Kappa系数可达0.7以上。增加NDVI,DEM等特征数据可提高CBERS-02B图像分类精度,增加DEM特征数据可提高HJ-1图像和BJ-1图像分类精度。在全国范围内实现每2-3年1次的土地利用宏观监测时,为了保证在全国范围内都能获取有效数据,可综合考虑多种中分辨率国产卫星数据的综合应用,本文的结论为宏观监测提供了监测精度和技术方法上的科学参考依据。

References

[1]  陈江,郭增长.中巴资源卫星02B星土地覆盖分类[J].太原科技,2008(10):52-54. Chen J,Guo Z C.Research of land-use and land cover classification[J].Taiyuan Science and Technology,2008(10):52-54.
[2]  王茜,张增祥,牟风云,等."北京一号"小卫星影像质量及土地利用分类精度研究[J].中国矿业大学学报,2007,36(3):386-389. Wang Q,Zhang Z X,Mou F Y,et al.Research on"Beijing 1"micro-satellite image quality and land use classification precision[J].Journal of China University of Mining and Technology,2007,36(3):386-389.
[3]  朱秀芳,潘耀忠,王双,等.训练样本对TM尺度小麦种植面积测量精度影响研究(Ⅱ)——样本质量对小麦测量精度的影响分析[J].测绘科学,2009,161(5):132-135. Zhu X F,Pan Y Z,Wang S,et al.The effects of training samples on the wheat planting area surveying accuracy in TM scale(II):The accuracy response of different classifiers to samples quality[J].Science of Surveying and Mapping,2009,161(5):132-135.
[4]  薄树奎,丁琳.训练样本数目选择对面向对象影像分类方法精度的影响[J].中国图象图形学报,2010,15(7):1106-1111. Bo S K,Ding L.The effect of the size of training sample on classification accuracy in object-oriented image analysis[J].Journal of Image and Graphics,2010,15(7):1106-1111.
[5]  郭健,张继贤,张永红,等.多时相MODIS影像土地覆盖分类比较研究[J].测绘学报,2009,38(1):88-92. Guo J,Zhang J X,Zhang Y H,et al.Study of the comparison of land cover classification for multitemporal MODIS images[J].Acta Geodaeticaet Cartographica Sinica,2009,38(1):88-92.
[6]  Nemmour H,Chibani Y.Multiple support vector machins for land cover change detection:An application for mapping urban extensions[J].ISPRS Journal of Photogrammentry and Remote Sensing,2006,61(2):125-133.
[7]  骆剑承,周成虎,梁怡,等.支撑向量机及其遥感影像空间特征提取和分类的应用研究[J].遥感学报,2002,6(1):50-55. Luo J C,Zhou C H,Liang Y,et al.Support vector machine for spatial feature extraction and classification of remotely sensed imagery[J].Journal of Remote Sensing,2002,6(1):50-55.
[8]  Sun Z P,Shen W M,Wen B.Object-oriented land cover classification using HJ-1 remote sensing imagery[J].Science China:Earth Sciences,2010,53(S1):34-44.
[9]  施拥军.森林遥感分类技术研究——以浙西北山区为例[D].杭州:浙江大学,2003. Shi Y J.Research on Technologies of forest classification by remote sensing-a case of northwest mountainous area in Zhejiang[D],Hangzhou:Zhejiang University,2003.
[10]  尤淑撑,刘顺喜,周连芳,等.基于CBERS-02B星数据的土地利用/覆被类型监测应用研究[J].国土资源遥感,2009,21(1):83-85. You S C,Liu S X,Zhou L F,et al.Application method for land use macro monitoring based on CBERS-02B CCD data[J].Remote Sensing for Land and Resources,2009,21(1):83-85.
[11]  申克建.CBERS CCD数据土地利用/覆被分类研究[D].北京:中国地质大学,2009. Shen K J.Research of land-use and land cover classification methods based on CBERS CCD satellite data[D].Beijing:China University of Geosciences,2009.

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