Townshend J R, Masek J G, Huang C, et al. Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges[J]. International Journal of Digital Earth, 2012, 5(5): 373-397. [DOI: 10.1080/17538947. 2012. 713190]
[2]
Gong P, Wang J, Yu L, et al. Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data[J]. International Journal of Remote Sensing, 2013, 34(7): 2607-2654. [DOI: 10.1080/01431161. 2012. 748992]
[3]
Fuller R M, Groom G B, Jones A R. Land cover map of Great Britain. An automated classification of Landsat Thematic Mapper data[J]. Photogrammetric Engineering and Remote Sensing, 1994, 60(5): 553-562.
[4]
Wang X M, Chai Z P, Gong A J. Application of BP neural network in classification of land cover ―― a case of Yutian oasis in Xinjiang[J]. Xinjiang Agricultural Sciences, 2009, 46(1): 142-146. [王雪梅, 柴仲平, 龚爱谨. BP 神经网络算法在土地覆盖分类中的应用研究――以新疆于田绿洲为例[J]. 新疆农业科学, 2009, 46(1): 142-146.]
[5]
Roy D P, Wulder M A, Loveland T R, et al. Landsat-8: Science and product vision for terrestrial global change research[J]. Remote Sensing of Environment, 2014, 145(1): 154-172. [DOI: 10.1016/j.rse.2014.02.001]
[6]
Xu H Q, Tang F. Analysis of new characteristics of the first Landsat 8 image and their eco-environmental significance[J]. Acta Ecologica Sinica, 2013, 33(11): 3249-3257. [徐涵秋, 唐菲. 新一代 Landsat 系列卫星:Landsat 8 遥感影像新增特征及其生态环境意义[J]. 生态学报, 2013, 33(11): 3249-3257.] [DOI: 10.5846 / stxb201305030912]
[7]
He C Y, Shi P J, Chen J, et al. A study on land use/cover change in Beijing area[J]. Geographical Research, 2001, 20(6): 679-687. [何春阳, 史培军, 陈晋, 等. 北京地区土地利用/覆盖变化研究[J]. 地理研究, 2001, 20(6): 679-687.] [DOI: 10.3321/j.issn:1000-0585.2001.06.005]
[8]
Teillet P, Guindon B, Goodenough D. On the slope-aspect correction of multispectral scanner data[J]. Canadian Journal of Remote Sensing, 1982, 8(2): 84-106.
[9]
Liu J Y. Study on national resources & environment survey and dynamic monitoring using remote sensing [J]. Journal of Remote Sensing, 1997, 1(3): 225-230. [刘纪远. 国家资源环境遥感宏观调查与动态监测研究[J]. 遥感学报, 1997, 1(3): 225-230.] [DOI: 10.11834/jrs. 19970311]
[10]
Vermote E F, Tanre D, Deuze J L, et al. Second simulation of the satellite signal in the solar spectrum, 6S: an overview[J]. IEEE Transactions on Geoscience and Remote Sensing, 1997, 35(3): 675-686. [DOI: 10.1109 /36.581987]
[11]
Lu D, Weng Q. A survey of image classification methods and techniques for improving classification performance[J]. International Journal of Remote Sensing, 2007,28(5): 23-870. [DOI: 10.1080/01431160600746456]
[12]
Li L, Wang H, Liu Q S, et al. Land cover classification using ALOS image based on texture features and support vector machine[J]. Remote Sensing for Land & Resources, 2011, 23(4): 58-63. [李玲, 王红, 刘庆生, 等. 基于纹理特征和支持向量机的ALOS图像土地覆被分类[J]. 国土资源遥感, 2011, 23(4): 58-63.] [DOI: 10.6046/gtzyyg.2011.04.11]
[13]
Wu J, Peng D L. Vegetation classification technology of hyperspectral remote sensing based on spatial information [J]. Transactions of the CSAE, 2012, 28(5): 150-153. [吴见, 彭道黎. 基于空间信息的高光谱遥感植被分类技术[J]. 农业工程学报, 2012, 28(5): 150-153.] [DOI: 10.3969/j.issn.1002-6819.2012.05.025]
[14]
Haralick R M, Shanmugam K, Dinstein I H. Textural features for image classification [J]. IEEE Transactions on Man and Cybernetics, 1973, 3(6): 610-621. [DOI: 10. 1109/TSMC. 1973. 4309314]
[15]
Chen D, Stow D A, Gong P. Examining the effect of spatial resolution and texture window size on classification accuracy: an urban environment case[J]. International Journal of Remote Sensing, 2004, 25(11): 2177-2192. [DOI: 10.1080/01431160310001618464]
[16]
Ulaby F T, Kouyate F, Brisco B, et al. Textual information in SAR Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 1986, 24(2): 235-245.
[17]
BO H, Ma F L, Jiao L C. Research on computation of GLCM of image texture [J]. Acta Electronica Sinica, 2006, 34 (1): 155-158. [薄华, 马缚龙, 焦李成. 图像纹理的灰度共生矩阵计算问题的分析[J]. 电子学报, 2006, 34(1): 155-158.] [DOI: 10.3321/j.issn:0372-2112.2006. 01.032]
[18]
Zhu S X, Zhang R J. Research for selection of kernel functions used in support vector machine [J]. Science Technology and Engineering, 2008, 8(16): 4513-4517. [朱树先, 张仁杰. 支持向量机核函数选择的研究[J]. 科学技术与工程, 2008, 8(16): 4513-4517.] [DOI: 10.3969/j.issn.1671-1815. 2008. 16. 021]
[19]
Feng G H. Parameter optimizing for support vector machines classification[J]. Computer Engineering and Applications, 2011, 47(3): 123-124. [奉国和. SVM分类核函数及参数选择比较[J]. 计算机工程与应用, 2011, 47(3): 123-124.] [DOI: 10.3778/j.issn.1002-8331.2011.03. 037]
[20]
Wu X P, Tang Z Y, Cui H T, et al. Land cover dynamics of different topographic conditions in Beijing[J]. Acta Phytoecological Sinica, 2006, 30(2): 239-251. [吴晓莆, 唐志尧, 崔海亭, 等. 北京地区不同地形条件下的土地覆盖动态[J]. 植物生态学报, 2006, 30(2): 239-251.] [DOI: 10.3321/j.issn:1005-264X.2006.02.006]
[21]
更多...
[22]
Zhao Y S, Li J W. The process of generating the landuse /landcover map based on ETM+[J]. Science of Surveying and Mapping, 2001, 26(3): 39-42. [赵有松, 李京伟. 基于 ETM+ 制作土地利用覆盖图――以制作北京 1:5 万土地利用覆盖图为例[J]. 测绘科学, 2001, 26(3): 39-42.]
[23]
Wu X J, Wang X X. The study of city TM remote sensing classification methods[D]. Guilin: Guangxi Normal University, 2007. [吴学军, 王修信. 城市 TM 遥感图像分类方法研究 [D]. 桂林: 广西师范大学, 2007.]
