用户名: 密码: 验证码:
基于嫦娥一号卫星CCD立体影像处理模型与方法的研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
随着嫦娥一、二号探月卫星的成功发射,标志着我国航天事业的发展进入了一个崭新的时代,许多学者都已相继展开了基于嫦娥数据的研究工作,对嫦娥一号卫星三线阵CCD影像处理模型与方法的研究是一项具有难度的工作,也是我们获取月表三维影像与探测月表构造的必要途径之一。
     1.本文在对嫦娥一号卫星CCD影像与激光高度数据进行拼接、去噪、插值、分幅等处理的基础上,与ULCN2005联合控制网进行了对比分析,提出了利用激光高度数据与CCD影像数据相结合的方法生成月面控制点,并结合嫦娥一号卫星三线阵CCD成像的特点,提出嫦娥一号卫星的CCD影像既可以按照中心投影成像方法处理,也可以按照行中心投影的方法进行处理,在无卫星轨道参数的情况下,成功的利用月面控制点计算了嫦娥一号卫星CCD影像的外方位元素。
     2.本文细致分析了建立嫦娥一号卫星CCD影像的有理函数成像模型对于月球遥感影像研究的意义,并创新性的利用商用遥感卫星有理函数建模的方法为嫦娥一号卫星建立了三阶有理函数模型,通过实际测试,三阶有理函数模型的精度接近于严格成像模型。
     3.针对嫦娥一号卫星三线阵CCD影像的特点,结合已建立的月面控制点、外方位元素、有理函数模型,比较分析了立体影像前方交会、有理函数立体定位、光束平差等几种立体成像模型,并建立了嫦娥影像的DEM,可达到理想精度。
     4.从寻找适用于嫦娥CCD月面影像立体匹配方法的角度出发,通过匹配实验,将基于灰度的影像匹配、基于Moravec、Forstner、Harris特征点的影像匹配和基于SIFT算子的影像匹配等方法进行了详细的比较和分析,得出基于SIFT算子的匹配方法在月面影像立体匹配中具有更好的效果。
     5.为了进一步满足嫦娥工程研究工作的需要,提高效率,本文提出建立嫦娥一号卫星CCD立体影像处理系统,通过系统需求分析、系统总体设计将影像处理系统划分为:数据预处理、单幅影像处理、立体影像处理、立体影像匹配等功能模块,在整合已有算法程序的基础上进行系统原型的开发,并取得了初步成果。
The Successful launching of Chang’E-1 and Chang’E-2 lunar probe satellites marks the coming of new era of China aerospace industry. Many scholars had done a lot research to the data colleted by Chang’Es. The research to the model of image processing and data process of Chang’E-1’s three-line-array ccd image is a very fundamental work which is a necessary way to get the three dimensional (3-D) image and structure of lunar surface.
     This article proposed to combine the laser height data and CCD image data to create the lunar surface controlling points after contrasting ULCN2005’s DEM and the data processed by marching, de-noising, differencing and formatting the CCD image of Chang’E-1 and laser height data. According to the characteristics of the CCD camera, the article suggested that CCD image could be processed not only by perspective imagery, but also by line perspective imagery. EO(exterior orientation elements) of CCD image is calculated successfully by controlling points of lunar surface without the parameter data of satellite orbit.
     The article deliberately analyzed the value of creating the imaging RFM(rational function model) of CCD image to the research of lunar remote sensing and imaging, and created the RFM of third order for Chang’E-1 using the commercial remote sensing satellite. The precision of RFM is very close to rigorous sensor model after practical testing.
     Specific to the characteristics of Chang’E-1 three-line-array CCD image, combining controlling points of lunar surface, EO and RFM, the article proposed three imaging models which include stereo image space intersection、stereo position of RFM, bundle adjustment model. And construct DEM of Chang’E-1 image which reach perfect precision after experimental analysis.
     Aim for find proper three-dimensional matching for CCD lunar image, the article deliberately contrasted and analyzedgray scale correlation method, feature matching based on Moravac operator, Forstner operator, Harris operater, SIFT feature matching, and concluded that SIFT feature matching had better result.
     In order to meet the need of research to Chang’E project and improve efficiency, the article proposed to set up the processing system of CCD three-dimensional imaging which should include the pre-processing, single image processing, 3-D image processing, 3-D image matching, and et al., after analyzing the system demand and general design. The article proceeded with prototypal system development combining with previous algorism programs and got preliminary results.
引文
[1]唐纳德.L.莱特.卫星摄影测量.北京:测绘科学出版,1985.4
    [2] V Kratky, Rigorous photogrammetric processing of SPOT images at CCM Canada, Photogrammetry and Remote Sensing Volume 44, Issue 2, October 1989: 53-71
    [3] Dieter Fritsch,Dirk Stallmann Rigorous Photogrammetric Processing of High Resolution Satellite Imagery ,photogrammetry and remote sensing,33
    [4] Daniela Poli. Orientation of satellite and airborne imagery from multi-line pushbroom sensors with a rigorous sensor model.International Archives of Photogrammetry and Remote Sensing, Vol. 35, Part B1, Istanbul, pp.130-135.
    [5] Kaichang Di,Ruijin Ma,and Rong Xing Li ,Rational functions and potential for rigorous sensor model Recovery, Photogrammetric Engineering and Remote Sensing ,Photogrammetry and Remote Sensing,2003 69(1):33-41.
    [6]王建宇,舒嵘,陈卫标,等.嫦娥一号卫星载激光高度计.中国科学,2010 ,l40(8):1063-1070
    [7]刘军,张永生,范永弘.有理函数模型在航空航天传感器摄影测量重建中的应用及分析. 2002,3(4):66-68
    [8] Hoerl, A. E. and Kennard, R.WRidge Regression: biased estimation for non-orthogonal problems.Technometrics. 1970,12(1):55-67
    [9]黄维彬.近代平差理论及其应用.北京:解放军出版社,1992
    [10] Hansen P C . Analysis of DiscreteⅢ—posed Problems by eans of the L—curve.SIAM Review,1992,34(4):561-580
    [11]王振杰,欧吉坤,柳林涛.一种解算病态问题的方法———两步解法.武汉大学学报(信息科学版), 2005,30(9):823-824
    [12]樊功瑜.岭估计及其应用.四川测绘,1992,15(3) :110-114
    [13]隋立芬.抗差岭估计原理及其应用.测绘通报,1994(1) :9-12
    [14]王新洲,刘丁酉.最小二乘估计中法方程的迭代解法.湖北民族学院学报(自然科学版), 2002, 20( 3) : 1- 4
    [15]潘朝毅.谱修正迭代法的收敛分析及其改进.四川教育学院学报2009,25(5):112-113
    [16]张春梅,姚晟.用加权迭代改善法解病态方程组的研究.安庆师范学院学报(自然科学版) 2004,10(1):78-79
    [17]王树根.摄影测量原理与应用.武汉大学出版社,2009.5
    [18]巩丹超,张永生,陈筱勇.线阵CCD推扫式影像的扩展核线模型.测绘科学技术学报,2006,23(4):246-249
    [19]吕江安,于晋,陈琦.基于SIFT特征的三线阵CCD影像立体匹配.航天返回与遥感, 2010,31(2):38-45
    [20]张剑清,潘励,王树根.摄影测量学.武汉:武汉大学出版社,2003
    [21] Fishchler M A ,Bolles R C. Random Sample Consensus : A Paradigm for Model Fitting with Application to Image Analysis and Automated Cartography . Communication Association Machine ,1981 ,24(6) :3812395.
    [22]祝汶琪,焦维利.用遗传算法求解有理函数模型.科学技术与工程,2008,8(13):3530-3535
    [23] Tao, C.V., Hu, Y. (2000a). Investigation on the rational function model. In:Proceedings of ASPRS Annual Convention, Washington D.C, May 22-26, 2000.
    [24] Tao, C.V., Hu, Y. (2000b). The rational function model - a tool for processing high-resolution imagery. Earth Observation Magazine (EOM), Vol. 10, No. 1, January, 2001.
    [25] Tao, C.V., Hu, Y. (2000c). Development of a generic sensor model– rational function model for image rectification.In: Proc. of Canadian Conference on Remote Sensing, August 22-25, Victoria, BC, pp. 55– 64.
    [26] Yoon J-S and Shan J. Combined Adjustment of MOC Stereo Imagery and MOLA Altimetry Data Photogrammetric Engineering & Remote Sensing .2005,71(10):1179–1186
    [27] Kirk R.L., E. H. Kraus, M.R. Rosiek1, D. Cook, J. Anderson, K.Becker, B.A. Archinal, L. Keszthelyi, R. King, A.S. McEwen and the HiRISE Team. Ultrahigh Resolution Topographic Mapping of Mars with HiRISE Stereo Images: Methods and First Results. Seventh International Conference on Mars July 9-13,2007 Pasadena, CA
    [28] Shan J., J-S Yoon, D.S. Lee, R.L. Kirk, G.A. Neumann, and C.H.Acton. Photogrammetric analysis of the Mars Global Surveyor mapping data, Photogrammetric Engineering & Remote Sensing,Vol.71, pp. 97–108
    [29] Chen, Y., J. W. Hwangbo and R. Li 2009. Photogrammetric Processing of Mars HiRISE Imagery for Large Area Topographic Mapping. Abstract (1 page) and presentation, ASPRS 2009 Annual Conference, Baltimore, MD, March 8-13, 2009
    [30] Li, R. Y. Chen, S. He, L. Yang, M. Tang, and the MER Science Team 2009.Rover Localization: Comparison between Bundle Adjustment-based and HiRISE Orbital Image-based Methods. Abstract and Poster. 40th Lunar and Planetary Science Conference, The Woodlands, TX, March 23-27, 2009.
    [31] Li, R., K. Di, J. W. Hwangbo, Y. Chen and the Athena Science Team 2008.Rigorous Photogrammetric Processing of HiRISE Stereo Images and Topographic Mapping at Mars Exploration Rovers Landing Sites. Poster and abstract (2 pages) and presentation, 39th Lunar and Planetary Science Conference, League City, TX,March 10–14, 2008.
    [32] Li, Ron, Kaichang Di, Ju Won Hwangbo, Yunhang Chen 2007. Rigorous Photogrammetric Processing of HiRISE Stereo Images for Topographic and Geomorphologic Analysis at MER landing sites. Abstract and Poster. AGU Fall Meeting, San Francisco, CA, December 10– 14, 2007.
    [33]巩丹超.高分辨率卫星遥感立体影像处理模型与算法[博士学位论文].中国人民解放军信息工程大学,2003
    [34]李春来,刘建军,任鑫,等.嫦娥一号激光测距数据及全月球DEM模型.中国科学,2010,40(3):281-293
    [35]平劲松,黄倩,鄢建国,等.基于嫦娥一号卫星激光测高观测的月球地形模型CLTM-s01.中国科学G辑:物理学力学天文学,2008, 38: 1601-1612
    [36]王任享.利用卫星三线阵CCD影像进行光束法平差的数学模拟实验研究.武汉测绘科技大学学报,1998,23(4):1
    [37]王建荣.三线阵CCD影像DEM自动生成技术的研究与实践[硕士学位论文].西安:长安大学,2006
    [38]欧阳自远等.月球科学概论.北京:中国宇航出版社,2005
    [39]中国科学院国家天文台.绕月探测工程地面应用系统月球地质图编制方案. 2006
    [40]王任享.卫星三线阵CCD影响变换为正直影像进行立体测绘.测绘科学,2007,32(3)
    [41]崔腾飞,陈圣波,王景然.基于嫦娥卫星三线阵CCD立体相机的月球表面三维建模.国土资源遥感,2009, 82(4):31-34
    [42]王四龙,王西华.北京地区遥感影像环形构造信息提取与金矿预测地质与勘探.地质与勘探, 1996,32(4):36-39
    [43]欧阳自远,李春来,邹永廖,等.绕月探测工程的初步科学成果.中国科学,2010,40(3):261-280
    [44]王建荣,王新义,李晶,等.三线阵CCD摄影测量理论在月球探测中的应用.测绘科学, 2008, 33(6):19-20
    [45]赵斐,胡莘,关泽群,等.三线阵CCD影像的像点自动匹配技术研究.测绘科学,2008,33(4):12-14
    [46]王涛.月球卫星CE21三线阵影像数据的解算试验.遥感信息.2010.3
    [47]张祖勋,张剑清.数字摄影测量.武汉:武汉测绘科技大学出版社,1996:159-163
    [48]刘立,彭复员,赵坤,等.采用简化SIFT算法实现快速图像匹配.红外与激光工程,2008,37(1):181-184
    [49]许宇.机载三线阵CCD传感器成像机理及影像模拟研究[硕士学位论文] .武汉:武汉大学, 2004
    [50]赵斐.三线阵CCD影像的像点自动匹配技术研究.测绘科学, 2008, 33( 4)
    [51]姬渊.缺少控制点条件下SPOT5遥感影像定位技术研究[硕士学位论文].郑州:解放军信息工程大学, 2008
    [52]甘田红,闫利.基于岭估计的三线阵CCD影像外方位元素去相关方法研究.测绘通报, 2007,19(4)
    [53]王之卓.摄影测量原理.测绘出版社,1979,10
    [54]黄玉琪.基于岭估计的SPOT影像外方位元素的解算方法.解放军测绘学院学报, 1998, 20( 1)
    [55]张力,张继贤,陈向阳,等.基于有理多项式模型RFM的稀少控制SPOT5卫星影像区域网平差.测绘学报, 2009, 38(4):302-311
    [56]袁修孝,张过.缺少控制点的卫星遥感对地目标定位.武汉大学学报:信息科学版, 2003, 28(5) : 505-509
    [57]燕琴,张祖勋,张剑清.异轨遥感CCD影像外方位元素的解求.武汉大学学报:信息科学版,2001,26(3):20-27
    [58]张永军,张勇.大重叠度影像的相对定向与前方交会精度分析.武汉大学学报(信息科学版)2005,3(2):126-130
    [59]岳庆兴,马福诚,邱郑戈,张春玲.SPOT影像光束平差复共线性消除.海洋测绘,2008,28(2):17-20
    [60]丁琼.IKONOS卫星立体像对几何模型解算及三维定位精度分析[硕士学位论文].西南交通大学,2008
    [61]杨磊,韩九强,王国珲.基于Shape-from-Shading的月球表面三维形状.宇航学报,2008,29(6):1996-2000
    [62]李志林,朱庆.数字高程模型.武汉:武汉大学出版社, 2003.
    [63]江万寿.航空影像多视匹配与规则建筑物自动提取方法研究[博士学位论文].武汉大学,2004.
    [64]秦绪文.基于拓展RPC模型的多源卫星遥感影像几何处理[博士学位论文].中国地质大学.2007.
    [65] Zhang L, Gruen A. TLS Data Processing Modules.The 3rd International Image Sensing Seminar on New Development in Digital Photogrammetry,Gifu,2001
    [66] Gunder K, Thomas N, Whitby J A. Fir measurements with the physikalisches institute radio metricex periment ( PHIRE) . Planetary and Space Science,2006, 54( 11) : 1046
    [67] Greeley R, and Batson R M. Planetary Mapping. Cambridge Press, 1990
    [68] Kirk R L, Howington-Kraus E, Rosiek M R, Anderson J A,Becker K J,Cook D A,Galuszka D M,Geissler P E,Hare T M,Holmberg I M,Keszthelyi L P,Redding B L,Delamere W A,Gallagher D,Chapel J D,Eliason E M,King R and Mcwen A S . Ultrahigh resolution topographic mapping of Mars with MRO HiRISE stereo images: Meter-scale slopes of candidate Phoenix landing sites. Journal of Geophysical Research Planets, 2008.
    [69] Li R, Hwangbo J W, Chen Y and Di K. Rigorous phtogrammetric processing of hirise stereo images for mars topographic mapping. Remote Sensing and Spatial Information Sciences, 2008,37(B4):987-992
    [70] LROC team,2009.First Lunar Reconnaissance Orbiter Camera Stereo Results. http://lroc.sese.asu.edu/news/archives/97-First-LROC-Stereo-Results.html
    [71] Michael J. Broxton1,2, Ara V. Nefian2, Zachary Moratto3, Taemin Kim1,Michael Lundy3, and Aleksandr V. Segal4. 3D Lunar Terrain Reconstruction from Apollo
    [72] Images. Computer Science, 2009, Volume 5875/2009, 710-719
    [73] Yoon J and Shan J. 2005. Combined adjustment of MOC stereo imagery and MOLA altimetry data. Photogrammetric Engineering and Remote Sensing, 71(10):1179–1186
    [74] Y. Ke and R. Sukthankar. PCA-SIFT: A More Distinctive Representation for Local Image Descriptors.Computer Vision and Pattern Recognition, 2004
    [75] David G.Lowe . Object recognition from local scale-invariant features. International Conference on Computer Vision, Corfu, Greece (September 1999), pp.1150-1157.
    [76] David G.Lowe.Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60, 2 (2004), pp. 91-110.
    [77] Fraser CS, Hanley H B, Yamakawa T. Three-Dimensional Geopositioning Accuracy of Ikonos Imagery.Photogrammetric Record, 2002, 17(99)
    [78] GUO Haitao,ZHANG Baoming,GUI Qingming.Application of Generalized Ridge Estimate to Compute the Exterior Elements of Satellite Linear Array Scanner Imagery.Geomatics and Information Science of Wuhan University,2003,28(4):444-447.(in Chinese)
    [79] KRATKY V. Rigorous Photogrammetric Process ing of SPOT Images at CCM Canad.ISPRS Journal of Phototprogram metry and Remote Sensing, 1989, 53 ( 9 ) :1223-1230
    [80] DIETER F , DIRK S. Rigorous Photogrammetric Process2ing of High Resolution Satellite Imagery.ISPRS ,2000,33:42250.
    [81] TAO V C, U Yong. A Comprehensive Study of t he Rational Function Model for Photogrammetric Processing .PE & RS , 2001 , 67 (12) : 1347-1357.
    [82] KIM T. Modeling Satellite Orbital Segment s Using Orbit-Attitude Models.Korean Journal of Remote Sensing , 2006 , 22 (1) : 63273.
    [83] Hu, X., C. V. Tao. Automatic Extraction of MainRoad Centerlines from IKONOS and QuickBird Imagery Using Perceptual Grouping. Proceedings of ASPRS 2003 Conference, Anchorage, Alaska, May 5-9, 2003
    [84] Th. Comparison of Stereo-Extracted DTM from Different High-Resolution Sensors: SPOT-5,EROS-A, IKONOS-II, and QuickBird.IEEE Transactions on Geoscience and Remote Sensing. 2004,42(10): 2121-2129.
    [85] Fraser, C., E. P. Baltsavias, A. Gruen. Processing of IKONOS Imagery for Sub-meter 3D Positioning and Building Extraction. ISPRS Journal of Photogrammetry & Remote Sensing, 2002, 56(3): 177-194.
    [86] KLETTE, R., GIMEL’FARB, G., AND REULKE, R. Wideangleimage acquisition, analysis and visualization. In Proc. 14th Internat. Conf., Vision Interface (2001):114–125.
    [87] SCHEIBE, K., KORSITZKY, H., AND REULKE, R. Eye scan- a high resolution digital panoramic camera. In Proc. Robot Vision 2001, 77–83.
    [88] Shkuratov Y G,Bondarenko N V. Regolith layer thickness mapping of the Moon by radar and optical data. Icarus , 2001 ,149 :3292338.
    [89] Willcox B B , Robinson M S , Thomas P C , Hawke B R. Constraints on the depth and variability of the lunar regolith . Meteoritics & Planetary Science , 2005 , 40 :6952710.
    [90] Cheng, L., Caelli, T.: Bayesian stereo matching. Computer Vision and Pattern Recognition Workshop, 2004, CVPRW’04. Conference on (2004) 192–192
    [91] Nefian, A., Husmann, K., Broxton, M., To, V., Lundy, M., Hancher, M.: A Bayesian formulation for sub-pixel refinement in stereo orbital imagery.International Conferenceon Image Processing (2009)
    [92]赵葆常,杨建峰,汶德胜,等.嫦娥一号卫星CCD立体相机的设计与在轨运行.航天器工程2009, 18(1):30-36
    [93]叶培健,孙泽洲,饶伟.嫦娥一号卫星月球探测卫星研制综述.航天器工程,2007 , 16 (6) :9-15
    [94]王任享.三线阵CCD影像卫星摄影测量原理.北京:测绘出版社,2006
    [95]张剑清,潘励,王树根摄影测量学.武汉:武汉大学出版社,2003
    [96]刘立,彭复员,赵坤,等.采用简化SIFT算法实现快速图像匹配.红外与激光工程,2008,37(1): 181-184.
    [97]王新洲,刘丁酉,张前勇,等.谱修正迭代法及其在测量数据处理中的应用.黑龙江工程学院学报, 2001,( 4)
    [98]李德仁,等.摄影测量与遥感概论.北京:测绘出版社, 2001
    [99]王任享.卫星三线阵CCD影像的EFP法空中三角测量.测绘科学, 2001, 26 ( 4) : 1- 5;
    [100]王之卓.摄影测量原理.北京:测绘出版社, 1980.
    [101]王任享,胡莘,杨俊峰,等.卫星摄影测量LMCCD相机的建议.测绘学报, 2004, 33 ( 2) : 116- 120.
    [102]王任享,王建荣,王新义,等. LMCCD相机卫星摄影测量特征.测绘科学, 2004, 29 ( 4) : 10- 12.
    [103]张羽,朱丹,王玉良.一种改进的快速SIFT特征匹配算法.微计算机信息, 2008 (33) : 220-222.
    [104]张春美,龚志辉,孙雷.改进SIFT特征在图像匹配中的应用.计算机工程与应用, 2008, 44 (2) : 95-97.
    [105] ZHANG Senlin. Adjustment Schem and Accur acy Analysis For Three line LinearArray Sensed Data.Wuhan:Jour nal of Wuhan Technical University of Sur veying and Mapping, 1988, 13 ( 4) : 60- 69.
    [106] Ebner H , Koryus G. A Simulatio n Study on Point Determination using MOMS02/ D2 Imager y. PERS, 1991,67 ( 10) : 1 315- 1 320.
    [107] M iko lajczyk K, Schm id C. Scale &A ffine invariant interest po int detecto rs . Internat ional Journal of Computer V ision, 2004, 60 (1) : 63-86.
    [108] Ke Y, Suk thankar R. PCA 2S IFT: A mo re dist inct ive rep resentat ion fo r local image descrip to rs. ComputerVision and Pat tern Recognit ion, 2004, 6 (2) : 5062513.
    [109] Zhang Yu, Zhu Dan, W ang Yuliang. Imp roved fast feature match ing method of SIFT .Microcomputer Info rmat ion, 2008 (33) : 220-222. (in Chinese)
    [110] Zhang Chunmei, Gong Zh ihui, Sun L ei. Imp roved S IFT feature e app lied in image match ing .Computer Engineering and App licat ions, 2008, 44 (2) : 95-97. (in Chinese)
    [111]金光,南寿松.立体测绘小卫星有效载荷———传输型三线阵CCD摄影测量相机.遥感技术与应用,1999, 14 (3) : 34 - 37.
    [112]陈述彭.中巴地球资源卫星数据的推广应用.地球信息科学, 2008, (3) .
    [113] Murray D, Little J J. Using real - time stereo vision formobile robot navigation.Autonomous Robots, 2000, 8 (1) : 161 - 171.
    [114] MarciM, Christopher G, Shankar S. Vision based terrain recovery for landing unmanned aerial vehicles. IEEE Conference On Decision and Control. Atlantis: Automation of Electric Power Systems Press, 2004: 1670 - 1675.
    [115] Harris C, StevensM A. Combined corner and edge detector .Proc 4 th AlveyVision Conf. Manchester: ManchesterUniversity Press, 1988:147 - 151.
    [116]马颂德,张正友.计算机视觉———计算原理与算法实现.北京:科学出版社, 1998: 159 - 160.
    [117]朱继文.基于立体影像匹配数据构建DEM方法的研究.测绘通报,2008,9(11):38-40
    [118]刘金国,李杰,郝志航.三线阵CCD相机亚像元精度几何标定方法研究.光电工程,2004, 31 ( 1) : 36- 39.
    [119]陈世平.空间相机设计与试验.北京:宇航出版社, 2003. 12
    [120]顾名澧.多光谱扫描仪的星上辐射定标系统.航天返回与遥感, 1998,19 (3): 21-25
    [121]刘军,张永生,范永弘. ADS40机载数字传感器的摄影测量处理与应用.武汉测绘学院学报, 2002, 19 ( 3)
    [122]赵双明.当代摄影测量ADS40数据处理.武汉大学出版社, 2007
    [123] Mikolajczyk K,Schmid c.A performance evaluation of local descriptors[J].IEEE ram.on PAMI,2005,27(10):1615-1630.
    [124]李二森,张保明,刘景正,等.SIFT特征匹配技术在自动相对定向中的应用[J].测绘科学,2008,33(5):16-18.
    [125]陈平,陈方林,闫志.SIFT特征提取在非约束环境下目标匹配中的应用[J].现代电子技术图像分析,2009,(18):70-72
    [126]宰小涛,赵宇明.基于SIFF特征描述子的立体匹配算法.微计算机信息,2007,23(8-3): 285-287.
    [127]姜挺,龚志辉,江刚武,等.基于三线阵航天遥感影像的DEM自动生成.测绘学院学报,2004,21(3):178-180.
    [128]赵鹏大,陈建平,汤军.定量地学方法及应用.高等教育出版社,2004
    [129]陈建平等.利用航空立体像对确定岩层产状的计算机方法.国土资源遥感,1991. No.4
    [130]陈建平等.遥感图像的颜色指数研究与地质应用.第九届全国遥感技术学术交流会论文集,1995.10.
    [131]陈建平,丁火平等.基于GIS和CA模型的荒漠化演化分析模型.遥感学报,2004, 8(3):254-260.
    [132] Jianping Chen, Yong Chen and Haisheng Yu.Analysis on Geological Anomalies of Middle part of the Sanjiang Region Southwest China.Geomathematics GIS and Analysis of Resources, Environment and Hazards, 12th IAMG, 2007, p778-781.
    [133]陈建平,吕鹏,吴文,赵洁,胡青.基于三维可视化技术的隐伏矿体预测.地学前缘, 2007, 14(5):54-62.
    [134]陈建平,肖克炎,陈勇,赵平.中国数学地质与地学信息应用研究进展.地质学学科发展报告(2008),中国科学技术出版社,2008.12.
    [135] Chen Jianping, Zhao Jie, Lv Peng, Hu Qing Tian Yi.Research on 3-D Geological Modeling and 3-D Volume Quantificational Prediction——A case study in Yunnan Province China.Mine Planning and Equipment Selection (MPES) 2007, p791-805.
    [136]陈建平,吕鹏,吴文,赵洁,胡青.基于三维可视化技术的隐伏矿体预测.地学前缘, 2007,14(5):54-62.
    [137]葛咏,白鹤翔,成秋明. Solution of Multiple-Point Statistics to Extracting Information from Remotely Sensed Imagery .中国地质大学学报.英文版,2008,19(4):421-428.
    [138]成秋明,刘江涛,张生元,夏庆霖. GIS中的空间建模器技术及其在全国矿产资源潜力预测中的应用.中国地质大学学报,2009,32(2):338-346.
    [139]成秋明.成矿过程奇异性与矿床多重分形分布.矿物岩石地球化学通报,2008,27(3):298-305.
    [140]成秋明.从美国地球物理学会2001秋季年会谈非线性地球物理进展.地球物理学进展2002,17(2):356-359.
    [141] Cheng, Q. Multifractal imaging filtering and decomposition methods in space, Fourier frequency, and Eigen domains.Nonlinear Processes in Geophysics, 2007,14(3):293-303.
    [142] Cheng,?Q.?Modeling?local?scaling?properties?for?multi?scale?mapping,?Vadose?Zone?J.?7(2):?525‐32.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700