In view of the facts that the high resolution image is usually lack of shortwave infrared wavelengths and that the first two components of KT transformation have the characteristics of high contrast, this paper proposes a ratio build-up index (RBI) with GF-1 images as the data source. Under different temporal-spatial conditions, the ratio build-up index was used to extract the build-up land information of Zhongxiang City and Fancheng District of Xiangyang City in Hubei Province, and the result was compared with results of the common classifiers and the common build-up index's extractions. It is shown that the accuracy and Kappa of RBI extraction are better, and RBI has good inhibition capability on bare land information.
杨文治, 张友静, 尹新沆, 王金龙. 面向GF-1影像的比值建筑用地指数构建[J]. 国土资源遥感, 2016, 28(1): 35-42.
YANG Wenzhi, ZHANG Youjing, YIN Xinhang, WANG Jinlong. Construction of ratio build-up index for GF-1 image. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(1): 35-42.
[1] 赵萍,冯学智,林广发.SPOT卫星影像居民地信息自动提取的决策树方法研究[J].遥感学报,2003,7(4):309-315. Zhao P,Feng X Z,Lin G F.The decision tree algorithm of automatically extracting residential information from SPOT images[J].Journal of Remote Sensing,2003,7(4):309-315.[2] 彭正林,毛先成,刘文毅,等.基于多分类器组合的遥感影像分类方法研究[J].国土资源遥感,2011,23(2):19-25.doi:10.6046/gtzyyg.2011.02.04. Peng Z L,Mao X C,Liu W Y,et al.Method for classification of remote sensing images based on multiple classifiers combination[J].Remote Sensing for Land and Resources,2011,23(2):19-25.doi:10.6046/gtzyyg.2011.02.04.[3] 饶萍,王建力,王勇.基于多特征决策树的建设用地信息提取[J].农业工程学报,2014,30(12):233-240. Rao P,Wang J L,Wang Y.Extraction of information on construction land based on multi-feature decision tree classification[J].Transactions of the Chinese Society of Agricultural Engineering,2014,30(12):233-240.[4] 陈波,张友静,陈亮.结合纹理的SVM遥感影像分类研究[J].测绘工程,2007,16(5):23-27. Chen B,Zhang Y J,Chen L.RS image classification based on SVM method with texture[J].Engineering of Surveying and Mapping,2007,16(5):23-27.[5] Weng Q H,Hu X F.Medium spatial resolution satellite imagery for estimating and mapping urban impervious surfaces using LSMA and ANN[J].IEEE Transactions on Geoscience and Remote Sensing,2008,46(8):2397-2406.[6] Zhang Y J,Chen L,He C.Estimating urban impervious surfaces using LS-SVM with multi-scale texture[C]//Urban Remote Sensing Event,2009 Joint.Shanghai,China:IEEE,2009:1-6.[7] Ridd M K.Exploring a V-I-S(vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing:Comparative anatomy for cities[J].International Journal of Remote Sensing,1995,16(12):2165-2185.[8] 吴宏安,蒋建军,张海龙,等.比值居民地指数在城镇信息提取中的应用[J].南京师大学报:自然科学版,2006,29(3):118-121. Wu H A,Jiang J J,Zhang H L,et al.Application of ratio resident-area index to retrieve urban residential areas based on Landsat TM data[J].Journal of Nanjing Normal University:Natural Science,2006,29(3):118-121.[9] 徐涵秋,杜丽萍.遥感建筑用地信息的快速提取[J].地球信息科学学报,2010,12(4):574-579. Xu H Q,Du L P.Fast extraction of built-up land information from remote sensing imagery[J].Journal of Geo-Information Science,2010,12(4):574-579.[10] Zha Y,Gao J,Ni S.Use of normalized difference built-up index in automatically mapping urban areas from TM imagery[J].International Journal of Remote Sensing,2003,24(3):583-594.[11] 徐涵秋.基于压缩数据维的城市建筑用地遥感信息提取[J].中国图象图形学报,2005,10(2):223-229. Xu H Q.Remote sensing information extraction of urban built up land based on a data dimension compression technique[J].Journal of Image and Graphics,2005,10(2):223-229.[12] Xu H Q.Extraction of urban built-up land features from Landsat imagery using a thematic-oriented index combination technique[J].Photogrammetric Engineering and Remote Sensing,2007,73(12):1381-1392.[13] 吴志杰,赵书河.基于TM图像的"增强的指数型建筑用地指数"研究[J].国土资源遥感,2012,24(2):50-55.doi:10.6046/gtzyyg.2012.02.10. Wu Z J,Zhao S H.A study of enhanced index-based built-up index based on Landsat TM imagery[J].Remote Sensing for Land and Resources,2012,24(2):50-55.doi:10.6046/gtzyyg.2012.02.10.[14] 路云阁,刘采,王姣.基于国产卫星数据的矿山遥感监测一体化解决方案——以西藏自治区为例[J].国土资源遥感,2014,26(4):85-90.doi:10.6046/gtzyyg.2014.04.14. Lu Y G,Liu C,Wang J.Integrated solutions for mine remote sensing monitoring based on domestic satellite images:A case study of Tibet[J].Remote Sensing for Land and Resources,2014,26(4):85-90.doi:10.6046/gtzyyg.2014.04.14.[15] 白照广.高分一号卫星的技术特点[J].中国航天,2013(8):5-9. Bai Z G.The technical features of GF-1[J].Aerospace China,2013(8):5-9.[16] 费鲜芸,张志国,高祥伟.基于缨帽变换的IKONOS数据融合[J].计算机工程与应用,2008,44(2):233-235. Fei X Y,Zhang Z G,Gao X W.Study on IKONOS data fusion based on tasseled cap transformation[J].Computer Engineering and Applications,2008,44(2):233-235.[17] Kauth R J,Thomas G S.The tasseled cap——a graphic description of the spectral-temporal development of agricultural crops as seen by Landsat[C]//Proceedings of the Symposium on Machine Processing of Remotely Sensed Data.Indiana,1976:159.[18] Horne J H.A tasseled cap transformation for IKONOS images[C]//ASPRS 2003 Annual Conference Proceedings.2003:60-70.[19] 周家香,朱建军,左廷英.IKONOS图像的缨帽变换方法[J].矿山测量,2006(1):13-14,50. Zhou J X,Zhu J J,Zuo T Y.Tasseled cap transformation method for IKONOS images[J].Mine Surveying,2006(1):13-14,50.[20] 杨智翔,何秀凤.基于改进的NDBI指数法的遥感影像城镇用地信息自动提取[J].河海大学学报:自然科学版,2010,38(2):181-184. Yang Z X,He X F.Automatic extraction of urban land-use information from remote sensing images based on improved NDBI method[J].Journal of Hohai University:Natural Sciences,2010,38(2):181-184.[21] Xu H.A new index for delineating built-up land features in satellite imagery[J].International Journal of Remote Sensing,2008,29(14):4269-4276.
2016, Vol. 28 
