参考书目：
1.梅安新，彭望琭，秦其明，等.《遥感导论》，北京：高等教育出版社，2001年.
2.彭望碌主编.《遥感概论》，北京：高等教育出版社，2002年.
3.赵军主编.《环境遥感应用基础》，兰州：甘肃教育出版社，1997年.
4.日本遥感研究会编，《遥感精解》，刘勇卫，贺雪鸿译.北京：测绘出版社，1993年.
5.赵英时等编著.《遥感应用分析原理与方法》，北京：科学出版社，2003年.
6.马蔼乃编著.《遥感概论》，北京：科学出版社，1984年.
7.周成虎等著.《遥感影像地学理解与分析》，北京：科学出版社， 1999年.
8.叶树华，任志远编著.《遥感概论》，西安：陕西科学技术出版社，1993年.
9.张永生编著.《遥感图象信息系统》，北京：科学出版社，2000年.
10.汤国安等编著.《遥感数字图像处理》，北京：科学出版社，2004年.
11.刘慧平、秦其明、彭望琭，等.《遥感实习教程》，北京：高等教育出版社，2001年.
12.吕国楷、洪启旺、郝允充，等.《遥感概论》修订版，北京：高等教育出版社，1995年.
13.党安荣编著.《ERDAS IMAGINE 遥感图象处理方法》，北京：清华大学出版社，2003年.
专业期刊：
1.《遥感学报》，中国地理学会环境遥感分会和中国科学院遥感应用研究所主办，双月刊，创刊于1997年
2.《遥感信息》， 国家科技部遥感中心和国家测绘局主办，季刊，创刊于1986年
3.《国土资源遥感》，国土资源部主管，中国国土资源航空物探遥感中心主办，季刊，创刊于1989年
4.《遥感技术与应用》，中科院遥感联合中心、中科院资源环境科学信息中心等主办，双月刊，创刊于1986年
5.《武汉大学学报》（信息科学版），武汉大学主办， 月刊，1957年创刊
遥感影像查询网站：
　　http://geo.arc.nasa.gov
　　http://landsat.gsfc.nasa.gov/
　　http://landsat7.usgs.gov/
　　http://landsat.gsfc.nasa.gov/
　　http://www.landsat.org/
　　http://www.gsfc.nasa.gov/
　　http://www.spotimage.com.cn
　　http//www.chinasiwei.com
　　http://www.hgis.com
　　http://www.spaceimage.com
　　http://supermap.com
　　http://www.saa.noaa.gov/
　　http://www.goes.noaa.gov/
　　http://www.gmss.com.cn/(气象卫星接收中心)http://nsmc.cma.gov.cn/(中国国家气象局)
遥感影像下载网址：
　　http://antwrp.gsfc.nasa.gov/apod
　　http://www.spaceimaging.com/
　　http://www.digitalglobe.com/
　　http://www.remotesensing.org/
　　http://www.rsgs.ac.cn/
参考文献：

  1. 柏延臣,冯学智,李新,等.2001. 基于被动微波遥感的青藏高原雪深反演及其结果评价.遥感学报,5 (3) :161～164
  2. 陈俊勇等.1998. 国际大地测量技术的新发展. 北京:测绘通报,1～2
  3. 陈良富,徐希孺,张仁华.1998. 地表温度遥感反演的现状与发展趋势. 地理科学进展,17 (增刊):208-215
  4. 陈钦峦等编.1998. 遥感与像片判读. 北京:高等教育出版社
  5. 陈述彭.1990. 遥感大辞典. 北京:科学出版社
  6. 陈述彭.1995. 地球信息科学与区域可持续发展. 北京:测绘出版社
  7. 陈述彭,赵英时,1990. 遥感地学分析. 北京:测绘出版社
  8. 陈述彭,童庆禧,郭华东,1998. 遥感信息机理研究. 北京:科学出版社
  9. 陈轶,郑福海,张南雄,等.1999. 星载微波遥感对中国1998年洪涝的观测统计研究. 电波科学学报,14 (3):241～245
  10. 房宗绯,邓明德,钱家栋,等.2000. 无源微波遥感用于地震预测及物理机理研究. 地球物理学报,43 (4):464～469
  11. 范海生,马蔼乃,李京.2001. 采用图像差值法提取土地利用变化信息方法. 遥感学报,5 (1):75-80
  12. 郭德方.1987. 遥感图像的计算机处理. 北京:电子工业出版社 
  13. 高峰,李小文等.1998. 基于知识分阶段不确定性多角度遥感反演. 中国科学(D),28  (4):346～350
  14. 胡秀清等.2006. FY21C/ 1D全球海上气溶胶业务反演算法研究. 海洋学报,第二期
  15. 黄韦良,张鸿翔.1995. 美国SeaStar海洋水色卫星简介. 国土资源遥感,1 (23):41～44
  16. 韩春明,郭华东,王长林.2002. 一种新型雷达图像边缘提取技术. 遥感学报,6 (6):485
  17. 胡著智,王慧麟,陈钦峦.1998. 遥感技术与地学应用. 南京:南京大学出版社
  18. 姜景山.1999. 面向21世纪的中国微波遥感技术发展. 中国工程科学,1 (2):78～81
  19. 金亚秋.1998. 星载SSM/ I 微波遥感渤海海冰的辐射特征分析. 海洋学报,20 (3):40～46
  20. 吕国楷等编.1995. 遥感概论.修订版. 北京:高等教育出版社
  21. 刘纪远主编.1996. 中国资源环境遥感宏观调查与动态研究. 北京:中国科学技术出版社
  22. 黎夏.1992. 悬浮泥沙遥感定量的统一模式及其在珠江口中的应用. 环境遥感,7 (2):106～196
  23. 李小文,万正明.1998. 互易原理在二向反射研究中的适应性. 自然科学进展,8 (2):281-300
  24. 李小文,王锦地,1995. 植物光学遥感模拟与植被结构参数化,科学出版社
  25. 李小文,王锦地.1999. 地表非同温像元发射率的定义问题. 科学通报,44 (15):1612～1616
  26. 李小文,王锦地,胡宝新,A.H.Strahler.. 1998. 先验知识在遥感反演中的作用. 中国科学（D）,28 (1):67-62
  27. 李小文,汪骏发,王锦地,柳钦火.2001. 多角度与热红外对地遥感,科学出版社
  28. 罗伯特G.1979. 遥感手册(第一分册).汤定元,陈宁锵等译. 北京:国防工业出版社
  29. 马蔼乃.1997. 遥感信息模型. 北京:北京大学出版社
  30. 马蔼乃,1984. 遥感概论. 北京：科学出版社
  31. 秦其明.1993. TM图像特征抽取研究.中国博士后首届学术大会论文集. 北京:国防工业出版社
  32. 仇肇悦,李军,郭密俊.1998. 遥感应用技术. 武汉:武汉测绘科技大学出版社
  33. 童庆禧,1990. 中国典型地物波普及其特征分析. 北京:科学出版社
  34. 徐冠华.1999. 构筑数字地球:促进中国和全球可持续发展. 遥感信息,(4)10
  35. 《遥感概论》编写组.1986. 遥感概论. 北京:高等教育出版社
  36. 中国地理学会环境遥感分会,国家863计划308主题专家组.1996.中国科学院遥感应用研究所编.遥感新进展与发展战略.北京:中国科学技术出版社
  37. 詹庆明,肖应辉.1999. 城市遥感技术. 武汉:武汉测绘科技大学
  38. 张俊荣.1997. 我国微波遥感现状及前景. 遥感技术与应用,12 (3):58～63
  39. 张云华.1997. 海洋综合微波遥感技术. 电子科技导报,(2):27～29
  40. 郑威.1995. 资源遥感纲要. 北京:科学技术出版社
  41. 庄逢甘,陈述彭主编.1997. 卫星遥感与政府决策. 北京:宇航出版社
  42. 郑兰芬,王晋年.1992. 成像光谱遥感技术及其图像光谱信息提取分析研究. 环境遥感,7 (1):49～58
  43. 张永生,王仁礼.1999. 遥感动态监测. 北京:解放军出版社
  44. 周成虎,骆剑承,杨晓梅,等.1999. 遥感影像地学理解与分析. 北京:科学出版社
  45. Barr, Samuel. 1994. Hyper-spectral Image Processing. In Proceedings of the international symposium on spectral sensing research. Ft. Belvior, VA: U.S. Army Crops of Engineers. 447～490
  46. Berk, A.L.S. Bernstein, and D.C. Robertson. 1989. MODTRAN: A Moderate Resolution Model for LOWTRAN7. Hanscom Air Force Base, MA: US. Air Force Geographysics Laboratory.38
  47. Bernstein, Ralph, et al. 1983. Image Geometry and Rectification. Chapter 21 in Manual of Remote Sensing (R. N. Colwell, ed.).Falls Church, VA: American Society of Photogrammetry. 873～922
  48. Bishop, Y.M.M., S.E. Fienber, and P.W. Holland. 1975. Discrete Multivariate Analysis: Theory and Practice. Cambridge, MA: MIT Press. 557
  49. Brooke, Robert K. 1974. Spectral/Spatial Resolution Targets for Aerial Imagery. Technical Report ETLTR-74-3.Ft.Belvior,VA:U.S.Army Engineer Topographic Laboratories.20
  50. Campbell, J.B.. 1981. Spatial correlation effects upon accuracy of supervised classification of Land Cover. Photogrammetric Engineering and Remote Sensing. 47: 355～363
  51. Carper, W. J., T. M. Lillesand, and R. W. Kiefer. 1990. The use of intensity hue saturation transformations for merging SPOT panchromatic and Multi-spectral Image Data. Photogrammetric Engineering and Remote Sensing. 56: 459～467
  52. Carter,Duane B. 1998. Analysis of Multi-resolution Data Fusion Techniques. MS thesis, Virginia Polytechnic Institute and State University, Blacksburg
  53. Chavez, P. S. 1975. Atmospheric, solar, and M.T.F corrections for ERTS Digital Imagery. Proceedings, American society of photogrammetry, Bethesda, MD: American Society for Photogrammetry and Remote Sensing. 69～69a
  54. Chavez, P. S. Jr., S. C. Sides, and J. A. Anderson. 1991. Comparsion of three different methods to Merge Multi-resolution and Multi-spectral Data: Landsat TM and SPOT Panchromatic Photogrammetric Engineering and Remote Sensing. 57: 265～303
  55. Chrisman, N. R. 1980. Assessing Landsat Accuracy: A geographic application of misclassification analysis. In Second Colloquium on Quantitative and Theoretical Geography. Cambridge, England
  56. Colcord, J.E. 1981. Thermal imagery energy surveys. Photogrammetric Engineering and Remote Sensing
  57. Colwell, R.N. 1956. Determining the Prevalence of Certain Cereal crop Diseases by Means of Aerial Photography. Hilgardia .26(5): 223～286
  58. Colvocoresses, Alden p. 1974. Space Oblique Mercator, A new map projection of the earth. Photogrammetric Engineering and Remote Sensing. 40: 921～926
  59. Congalton R.G.. 1983. The use of discrete multivariate techniques for assessment of landsat classification accuracy. M. S. Thesis, Virginia Polytechnic Institute and State University, Blacksburg. 111～120
  60. Congalton R.G.. 1991. A Review of Assessing the Accuracy of Classifications of Remotely sensed Data, Remote Sens. Environ., 37: 35～46
  61. Cook R., Connell IM, Oliver C. 1994. MUM (Merge Using Moments) segmentation for SAR images. In Proc. SPIE’1994 , 2316: 92～103
  62. Curran, P. J. 1989.  Remote sensing of foliar chemistry, Remote Sensing of Environment, 1989(30): 271～278
  63. Davis, J. C. 1973. Statistics and Data Analysis in Geology New York: Wiley. 550
  64. Davis, J. C., 1986. Statistics and data analysis in geology. J. Wiley & Sons, N.Y.: 574～579.
  65. Duda, R. O., and P. E. Hart. 1973. Pattern Classification and Scene Analysis. New York: Wiley. 482
  66. Fagerlund, E., B.Kleman, L.Sellin, and H.Svenson. 1970. Physical Studies of nature by thermal mapping. Earth Science Reviews
  67. Felde G W. 1998. The Effect of Soil Moisture on the 37GHz Microwave Polarization Difference Index (MPDI). Int J Remote Sensing. 19(6): 1055～1076
  68. Fjortoft R, Lopes A., Marthon P et al. An optimal multi2edge detector for SAR image segmentation. IEEE Trans. on Geo2
  69. Floyd F. Sabins, JR. 1978. Remote Sensing Principles and Interpretation.2rd. New York: W.H. Freeman and Company. USA
  70. Foody, Giles M.1992. On the Compensation for Chance Agreement in Image Classification Accuracy Assessment. Photogrammetric Engineering and Remote Sensing. 58: 1459～1460
  71. Fornaro G. 1996. A new efficient solution for DEM generation in interferometric SAR Processing. European Conference on Synthetic Aperture Radar, Germany.195～198
  72. Fornaro G. 1995. Two dimensional phase unwrapping based on the lap lace and Eikonal Equations. Proc. IGRA SS’95. 3: 1828～1830
  73. Gaham L C. 1974. Synthetic interferometer radar for topographic mapping. Proc. IEEE,62: 763～768
  74. Gillespie, A.R., and A.B.Kahle. 1978. Construction and interpretation of a digital thermal inertia image. Photogrammetric Engineering and Remote Sensing
  75. Goddard Space Flight Center. 1978. Data Users Handbook, Heat Capacity Mapping Mission (HCMM), for Applications Explorer Mission-A (AEM)). Greenbelt, MD: NASA
  76. Goldstein R M., Zebker H A. 1988. Satellite Radar Interferometry: Two dimensional phase unwrapping. Radio Science. 23 (4): 713～720
  77. Goward, S. N. February. 1981. Long-wave Infrared Observation of Urban Landscapes. Technical Papers, American Society of Photogrammetry 47th Annual Meeting. Washington; DC. Bethesda, MD: American Society for Photogrammetry and Remote Sensing
  78. Hatfield, J. L. J.P. Millard, and R. C. 1982. Variability of surface temperature in agricultural fields of central California. Photogrammetric Engineering and Remote Sensing. Vol.48
  79. Hixson. M., D. Scholz, and N.Fuhs. 1980. Evaluation of Several Schemes for Classification of Remotely Sensed Data. Photogrammetric Engineering and Remote Sensing. 46: 1143～1149
  80. HU Chengda. 1997. Research on Microwave Remote Sensing of atmospheric water. Acta Scientiarum Naturalium Universitatis Pekinensis . 33(3): 354～357
  81. Hudson R. D. 1969. Infrared System Engineering. New York: John Wiley & Sons, Inc.
  82. James. B Campbell. 2002. Introduction to Remote Sensing. The Guilford Press. American
  83. Janza, Frank J.1975. Interaction Mechanisms. Chapter 4 in Manual of Remote Sensing (R.G.   Reeves,ed.). Falls Church, VA: American Society of Photogrammetry
  84. Kauth, R.J. and G.S. Thomas. 1976. The tasseled cap – a graphic description of the spectral temporal development of agricultural crops as seen by Landsat, in Proceedings, Symposium on Machine Processing of Remotely Sensed Data, West Lafayette, IN: LARS, 41～51
  85. Ketting, R. L. and D. A. Landgrebe. 1975. Classification of Multi-spectral Image Data by Extraction and Classification of Homogeneous Objects. In Proceedings, Symposium on Machine Classification of Remotely Sensed Data. West Lafayette, IN: Laboratory for Applications in Remote Sensing. 2A-1-2A-11
  86. Kosko, Bart and S. Isaka. 1993. Fuzzy Logic. Scientific American. 271: 76～81
  87. Kramer R, Loffeld O. 1996. Phase Unwrapping for SAR Interferometry with Kalman Filters. European Conference on Synthetic Aperture Radar, Germany, 199～202
  88. Kneizys F. X., E. P. Shettle, L. W. Abreu, J .H. Chetwynd, G. P. Anderson, W. O. Gallery, J. E. A. Selby, and S. A. Clough. 1988. Users Guide to LOWTRAN7.Hanscom Air Force Base, MA: U.S. Air Force Geophysics Laboratory. 137
  89. Kovalick, William M. 1983. The Effect of selected preprocessing procedures upon the accuracy of a landsat-Derived Classification of a forested wetland. MS Thesis, Virginia Polytechnic Institute Blacksburg. 109
  90. Leckie, Donald G. 1982. An Error analysis of thermal infrared line-scan data for quantitative studies. Photogrammetric Engineering and Remote Sensing. Vol.48
  91. Lee, William T. 1922. The Face of the Earth as seen from the Air. American Geographical Society Special Publication No.4. New York: American Geographical Society.
  92. Lillesand T. M. and Kiefer, R. W. 1994. Remote Sensing and Image Interpretation. 3rd Ed. John Wiley & Sons, Inc., New York
  93. Lougeay R. 1982. Landsat thermal imaging of alpine regions. Photogrammetric Engineering and Remotes Sensing. Vol.48
  94. Lowe, Donald S. (ed.). 1975. Imaging and Non-imaging Sensors. Chapter 8 in Manual of Remote Sensing R.G. Reeves, ed .Falls Church. VA: American Society of Photogrammetry
  95. Marsh, S. E., Podwysocki, M. H.; Goetz, A. F. H.; Vane, G.; Slater, P. N.; Townsend, T. E. 1983. Imaging systems for the delineation of spectral properties of geologic materials in the visible and near-infrared
  96. Ma, Z., and R. L. Redmond. 1995. Tau coefficients for accuracy assessment of classification of remotely sensed data. Photogrammetric Engineering and Remote Sensing. 61: 435～439
  97. Norman. C. Grody, Alan. N. Basist. 1996. Global Identification of Snow-cover Using SSM/ I Measurements . IEEE Transaction on Geo-science and Remote Sensing. 4 (1): 237～246
  98. Oliver C, Blacknel D, White R G. 1996. Optimum edge detection in SAR, IEEE Proc. Radar, Sonar,Navigation. 143 (1): 31～40
  99. Parker, Dana C., and Michael F. Wolff. 1965. Remote Sensing. International Science and Technology. 43: 20～31
  100. Prati C, Rocca F. 1990. Limits to the resolution of elevation maps from stereo SAR images. Remote Sensing. 11 (12): 2215～2235
  101. Ranchin, Thierry, and L. Wald. 2000. Fusion of High Spatial and Spectral Resolution Images: The ARSIS concept and its implementation. Photogrammetric Engineering and Remote Sensing. 66: 49～61
  102. Scholz, D., N. Fuhs, and M. Hixson. 1979. An evaluation of several different classification schemes, their parameters, and performance. In proceedings, Thirteenth International Symposium on Remote Sensing of the Environment. Ann Arbor: University of Michigan Press. 1143～1149
  103. Science & Remote Sensing. 1998, 36(3): 793～802
  104. Snyder, John P. 1981. Map projections for satellite tracking. Photogrammetric Engineering and Remote Sensing.Vol 47: 205～213
  105. Story, Michael H., J. B. Campbell, and G. Best. 1984. An evaluation of the accuracies of five algorithms for machine classification of remotely sensed data. Proceedings of the Ninth Annual William T. Pecora Remote Sensing Symposium. Silver Spring, MD: IEEE. 399～405
  106. Strahler, Alan H. 1980. The use of prior probabilities in maximum likelihood classification of remotely sensed data. Remote Sensing of Environment. 10: 135～163
  107. Swain and Davis. 1978. P.H. Swain and S.M. Davis In: Remote Sensing: The Quantitative Approach, McGraw-Hill, New York. 396
  108. Switzer, Paul, W.S. Kowalick, and R.J.P. Lyon. 1981. Estimation of Atmospheric Path-Radiance by the covariance Matrix Method. Photogrammetric Engineering and Remote Sensing. 47: 1469～1476
  109. Tompkins, S., J. F. Mustard, C. M. Peters, and D.W. Forsyth. 1993. Objective determination of image end-members in spectral mixture analysis of AVIRIS data. In Summaries of the Fourth Annual JPL Airborne Geo-science Workshop, October 25-29, (R. O. Green). Pasadena, CA: NASA and the Jet Propulsion Laboratory. 177～180
  110. Tupin F, Maitre H, Mangin J F et al. 1998. Detection of linear features in SAR Images: Application Road Network Extraction. IEEE Trans. on Geo-science and Remote Sensing , 36(2) : 434～453
  111. Wald, L., T. Ranchin, and M. Mangolini. 1997. Fusion of Satellite Images of Different Spatial
  112. Resolutions: Assessing the Quality of Resulting Images. Photogrammetric Engineering and Remote Sensing. 63: 691～699
  113. Weast, R.C (ed). 1986. CRC Handbook of Chemistry and Physics. Boca Raton, FL: CRC Press
  114. http:// www.aeromapss.com/Lidar.5.jpg