Wu M Q, Wang J, Niu Z, et al. A model for spatial and temporal data fusion [J]. Journal of Infrared and Millimeter Waves, 2012, 31(1): 80-84.[邬明权, 王洁, 牛铮, 等. 融合MODIS与Landsat数据生成高时间分辨率Landsat数据 [J]. 红外与毫米波学报, 2012, 31(1): 80-84.]
[2]
Yu X S, Wu C D, Chen D Y, et al. Using support vector machine and level set for river detection in high resolution remote sensing image [J]. Journal of Image and Graphics, 2013, 18(6): 677-684.[于晓升, 吴成东, 陈东岳, 等. 支持向量机和水平集的高分辨率遥感图像河流检测[J]. 中国图象图形学报, 2013, 18(6): 677-684.][DOI:10.11834/jig. 20130609]
[3]
Liu L, Kuang G Y. Overview of image textural feature extraction methods [J]. Journal of Image and Graphics, 2009, 14(4): 622-635.[刘丽, 匡纲要. 图像纹理特征提取方法综述 [J]. 中国图象图形学报, 2009, 14(4): 622-635.][DOI:10.11834/jig.20090409]
[4]
Wang R S. Image Understanding [M]. Changsha: National University of Defense Technology Press, 1994: 145-1461.[王润生. 图像理解 [M]. 长沙: 国防科学技术大学出版社, 1994: 145-1461.]
[5]
Xia Y, Zhao R C, Jiang Z T. Fractal dimension estimation based on mathematical morphology [J]. Journal of Image and Graphics, 2004, 9(6): 760-766.[夏勇, 赵荣椿, 江泽涛. 一种基于数学形态学的分形维数估计方法[J]. 中国图象图形学报, 2004, 9(6): 760-766.][DOI:10.11834/jig.200406143]
[6]
Shan Y B, Yu F Z, Li X H. Correlation analysis for fractal dimension between TM image and terrain of broadleaved forest in tianmu mountain [J]. Scientia Geographica Sinica, 2011, 31(6): 682-687.[单勇兵, 于法展, 李先华. 天目山阔叶林的TM 影像及其地形的分维相关分析 [J]. 地理科学, 2011, 31(6): 682-687.]
[7]
Luan H J, Tian Q J, Gu X F, et al. Establishing continuous scaling of NDVI based on fractal theory and GEOEYE-1 image [J]. Journal of Infrared and Millimeter Waves, 2013, 32(6):538-544.[栾海军, 田庆久, 顾行发, 等. 基于分形理论与GEOEYE-1影像的NDVI连续空间尺度转换模型构建及应用 [J]. 红外与毫米波学报, 2013, 32(6):538-544.]
[8]
Wu H, Sun Y, Shi W, et al. Examining the satellite-detected urban land use spatial patterns using multidimensional fractal dimension indices [J]. Remote Sensing, 2013, 5(10): 5152-5172.
[9]
Peleg S, Naor J, Hartley R. Multiple resolution texture analysis and classification [J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1984, 6(4): 518-523.
[10]
Sarkar N, Chaudhuri B B. An efficient approach to estimate fractal dimension of textural images [J]. Pattern Recognition, 1992, 25(9): 1035-1041.
[11]
Li J, Du Q, Sun C. An improved box-counting method for image fractal dimension estimation [J]. Pattern Recognition, 2009, 42(11): 2460-2469.
[12]
Penland A P. Fractal-based description of natural scenes [J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1984, 6(6): 661-674.
[13]
Xie J, Xia D S, Sun H J. A classification method based on texture neural network for color remote sensing images [J]. Journal of Computer Research and Development, 2000, 37(9): 1120-1124.[谢君, 夏德深, 孙怀江. 一种基于纹理域神经网络的彩色卫星图像分析方法[J]. 计算机研究与发展, 2000, 37(9): 1120-1124.]
[14]
She A C, Huang T S. Segmentation of road scenes using color and fractal-based texture classification [C]//Proceedings of International Conference on Image Processing. Austin, TX: IEEE Press, 1994: 1026-1030.
[15]
Backes A R, Casanova D, Bruno O M. Color texture analysis based on fractal descriptors [J]. Pattern Recognition, 2012, 45(5): 1984-1992.
[16]
Sa J J D, Backe A R, Cortez P C. Color texture classification based on gravitational collapse [J]. Pattern Recognition, 2013, 46(6): 1628-1637.
[17]
Cǎliman A, Ivanovici M, Richard N. Probabilistic pseudo-morphology for grayscale and color images [J]. Pattern Recognition, 2014, 47(2): 721-735.
[18]
Li H K, Wu L X, Li F S. Optimal fractal band selection on HJ-1 CCD image for land use classification [J]. Journal of Remote Sensing, 2013, 17(6): 1572-1586.[李恒凯, 吴立新, 李发帅. 面向土地利用分类的HJ-1 CCD影像最佳分形波段选择 [J]. 遥感学报, 2013, 17(6): 1572-1586.]
[19]
Seung H S, Lee D D. The manifold ways of perception [J]. Science, 2000, 290(5500): 2268-2269.
[20]
Silva V D, Tenenbaumi J B. Global versus local methods in nonlinear dimensionality reduction [C]//Proceedings of Neural Information Processing Systems 15. Cambridge, MA: MIT Press, 2002: 705-712.
[21]
更多...
[22]
Sch?lkopf B, Smola A, Müller K R. Nonlinear component analysis as a kernel eigenvalue problem [J]. Neural computation, 1998, 10(5): 1299-1319.
[23]
Tenenbaum J B, De Silva V, Langford J C. A global geometric framework for nonlinear dimensionality reduction [J]. Science, 2000, 290(5500): 2319-2323.
[24]
Roweis S T, Saul L K. Nonlinear dimensionality reduction by locally linear embedding [J]. Science, 2000, 290(5500): 2323-2326.
[25]
Zhang Z Y, Zha H Y. Principal manifolds and nonlinear dimensionality reduction via tangent space alignment [J]. SIAM Journal of Scientific Computing, 2004, 26(1): 313-338.
[26]
Belkin M, Niyogi P. Laplacian eigenmaps for dimensionality reduction and data representation [J]. Neural Computation, 2003, 15(6): 1373-1396.
[27]
Luo S W, Zhao L W. Manifold learning algorithms based on spectral graph theory [J]. Journal of Computer Research and Development, 2006, 43(7): 1173-1179.[罗四维, 赵连伟. 基于谱图理论的流形学习算法 [J]. 计算机研究与发展, 2006, 43(7): 1173-1179.]
[28]
Ivanovici M, Richard N. Fractal dimension of color fractal images [J]. IEEE Trans. on Image Processing, 2011, 20(1): 227-235.
[29]
Wang X J, Zhang J, Wei Z H, et al. Color Correction for Remote Sensing Images Based on Remote Sensing Camera Model [J]. Journal of Infrared and Millimeter Waves, 2002, 21(6): 443-446.[王雪晶, 张健, 魏仲慧, 等. 基于遥感相机模型的遥感图像彩色校正 [J]. 红外与毫米波学报, 2002, 21(6): 443-446.]
[30]
Guo Z Q, Cai S. Algorithm of remote sensing image classification and implementation by matlab [J]. Journal of Wuhan University of Technology, 2006, 28(1): 108-111.[郭志强, 蔡嵩. 彩色遥感图像分类算法及Matlab实现 [J]. 武汉理工大学学报, 2006, 28(1): 108-111.]