中文部分：
王向军, 王研, 李智. (2007). 基于特征角点的目标跟踪和快速识别算法研究. 光学学报, 27(002), 360–364.
王佳珮. (2004). 方差與協方差分量於 Radarsat-1 地塊影像匹配之研究 Investigation on Image Matching by Variance-Covariance Components.
王科植, Wang, K. (2007). 結合Adaboost與SIFT特徵之手勢辨識系統. Text, . Retrieved October 9, 2010, from http://ntur.lib.ntu.edu.tw/handle/246246/58428
何維信. (1991). 遙測影像地形情報資訊系統，行政院國防科技發展推行委員會，專題研究計畫成果報告，36-80。
何維信. (1995). 航空攝影測量學. 大中國圖書公司.
吳成柯. (1993). 等譯,“數位影像處理”, 儒林, 4.6. 1 彩色基礎. In Page (s) (pp. 221–223).
吳究, 張奇, 劉銘哲. (2009). 基於尺度不變特徵點轉換之精密多元影像套合. Journal of Photogrammetry and Remote Sensing, 14(2), 141–155.吳怡燊. (2003). 影像控制區塊自動化量測及方位求解作業之探討, 國立台灣大學土木研究所碩士論文.
吳華泰. (2003). 整合特徵資訊的區域匹配法研究, 國立台灣大學土木工程研究所論文.
李政道. (1999). 特徵匹配於影像起始套合應用之研究, 國立中央大學土木工程研究所碩士論文.李遠坤, 陳玲慧. (1999). 數位影像之資訊隱藏技術探討. 資訊安全通訊.
林志清.(1989). 興趣點操作元應用於立體影像時的品質評估, 國立成功大學航空測量研究所碩士論文.
林榮章, Lin Rong Zhang.都會區多解像力遙測影像之紋理分析. 碩士, . Retrieved October 10, 2010, from http://ir.lib.nchu.edu.tw/handle/309270000/10349
洪浩倫, 王志添, 陳錕山. (2007). 利用多尺度匹配自動套疊衛星雷達影像. Journal of Photogrammetry and Remote Sensing, 12(4), 381–401.徐百輝. (1995). 應用Hough轉換於框標及共軛影像量測之研究, 國立成功大學測量工程學系碩士論文.
翁家晧. (2008). 遙測影像套合處理之最佳化控制點自動選取策略, 國立高雄應用科技大學土木工程與防災科技研究所碩士論文.
郝明非, 张建秋, 胡波. (2007). 一种超复数鲁棒相关图像配准算法. 复旦学报: 自然科学版, 46(001), 91–95.
高富强, 张帆. (2005). 一种快速彩色图像匹配算法. 计算机应用, 25(011), 2604–2605.
張庭榮. (2007). SIFT演算法於立體對影像匹配與影像檢索應用之研究, 國立高雄應用科技大學土木工程與防災科技研究所碩士論文.
連國珍. (2001). 數位影像處理. 台北: 儒林.
陳良健.(1997).遙測影像之整合於地表變遷偵測之應用(III): 子計畫一: 遙測影像之整合中光學探測器影像之幾何處理,國科會專題研究計畫簡要報告, 4頁。
陳怡婷. (2008). SIFT特徵匹配於自動空中三角之應用與分析, 國立高雄應用科技大學土木工程與防災科技研究所碩士論文.
陳彥良, Yen-liang Chen. (2007, June 26). 一個不同曝光時間影像序列之強健特徵導向影像定位法. 碩士, . Retrieved October 10, 2010, from http://ir.lib.nchu.edu.tw/handle/309270000/51633
陳敏新, 陳繼藩. (2006). 視訊資料中目標物追蹤及定位之研究. Journal of Photogrammetry and Remote Sensing, 11(2), 201–211.陳耀賢. (1991). 數位影像匹配及其對相似性評估能力之研究, 國立成功大學航空測量工程研究所碩士論文.
曾智敏. (2005). 航照像對共軛點匹配自動化研究, 私立逢甲大學土地管理學系碩士論文.
黃漢哲. (2009). SIFT演算法應用於航測影像拼接之研究, 國立中山大學海洋環境及工程學系研究所論文.
劉銘哲. (2008). 研究不同資源衛星影像之匹配與套合 Study on Image Matching and Registration for Different Resource Satellite Images.
劉鴻明, 蔡孟達, 張元翔. (2005). 應用於影像縮放技術之內插法評估研究, 私立中原大學資訊工程學系.
谢凡, 秦世引. (2008). 基于 SIFT 的单目移动机器人宽基线立体匹配. 仪器仪表学报, 29(011), 2247–2252.
英文部分：
Abdel-Hakim, A., & Farag, A. (n.d.). CSIFT: A SIFT Descriptor with Color Invariant Characteristics. In 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06) (pp. 1978-1983). Presented at the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06), New York, NY, USA. doi:10.1109/CVPR.2006.95.
Ackermann, F. (1984). Digital image correlation: performance and potential application in photogrammetry. The Photogrammetric Record, 11(64), 429–439.
Akira Suga, Keita Fukuda, Tetsuya Takiguchi, & Yasuo Ariki. (2008). Object recognition and segmentation using SIFT and Graph Cuts. In 2008 19th International Conference on Pattern Recognition (pp. 1-4). Presented at the 2008 19th International Conference on Pattern Recognition (ICPR), Tampa, FL, USA. doi:10.1109/ICPR.2008.4761400.
Alparone, L., Baronti, S., Garzelli, A., & Nencini, F. (2004). Landsat ETM+ and SAR image fusion based on generalized intensity modulation. Geoscience and Remote Sensing, IEEE Transactions on, 42(12), 2832–2839.
Arya, K. V., Gupta, P., Kalra, P. K., & Mitra, P. (2007). Image registration using robust M-estimators. Pattern Recognition Letters, 28(15), 1957–1968.
Avcibas, I., Sankur, B., & Sayood, K. (2002). Statistical evaluation of image quality measures. Journal of Electronic Imaging, 11(2), 206-223.
Baillard, C., & Dissard, O. (2000). A stereo matching algorithm for urban digital elevation models. Photogrammetric Engineering & Remote Sensin, 66(9), 1119-1128.
Balletti, C. (2000). Analytical and quantitative methods for the analysis of the geometrical content of historical cartography. International Archives of Photogrammetry and Remote Sensing, 33(B5/1; PART 5), 30–37.Balletti, C., & Guerra, F. (2009). Image matching for historical maps comparison. e-Perimetron, 4(3), 180–186.
Baumberg, A. (2000). Reliable Feature Matching across Widely Separated Views. In Computer Vision and Pattern Recognition, IEEE Computer Society Conference on (Vol. 1, p. 1774). Los Alamitos, CA, USA: IEEE Computer Society. doi:http://doi.ieeecomputersociety.org/10.1109/CVPR.2000.855899Bay, H., Tuytelaars, T., & Van Gool, L. (2006). Surf: Speeded up robust features. IN ECCV, 1, 404--417.Bentoutou, Y., Taleb, N., Kpalma, K., & Ronsin, J. (2005). An automatic image registration for applications in remote sensing. Geoscience and Remote Sensing, IEEE Transactions on, 43(9), 2127–2137.
Brown, L. G. (1992). A survey of image registration techniques. ACM Computing Surveys, 24(4), 325-376. doi:10.1145/146370.146374
Burghouts, G. J., & Geusebroek, J. (2009). Performance evaluation of local colour invariants. Comput. Vis. Image Underst., 113(1), 48-62.CARPER, W., LILLESAND, T., & KIEFER, R. (1990). The use of intensity-hue-saturation transformations for merging SPOT panchromatic and multispectral image data. Photogrammetric Engineering and remote sensing, 56, 459–467.
Chalermwat, P. (1999). High performance automatic image registration for remote sensing. Citeseer.
Chang, T., & Kuo, C. C. (1993). Texture analysis and classification with tree-structured wavelet transform. Image Processing, IEEE Transactions on, 2(4), 429–441.
Chen, H. M., Arora, M. K., & Varshney, P. K. (2003). Mutual information-based image registration for remote sensing data. International Journal of Remote Sensing, 24(18), 3701–3706.
Cheng, J. K., & Huang, T. S. (1984). Image registration by matching relational structures. Pattern Recognition, 17(1), 149–159.Cheng-Yuan Tang, Yi-Leh Wu, Maw-Kae Hor, & Wen-Hung Wang. (2008). Modified sift descriptor for image matching under interference. In 2008 International Conference on Machine Learning and Cybernetics (pp. 3294-3300). Presented at the 2008 International Conference on Machine Learning and Cybernetics (ICMLC), Kunming, China. doi:10.1109/ICMLC.2008.4620974
Chisholm, N. W. T., & Collin, R. L. (1988). Artificial GCPs in aircraft and satellite scanner imagery. International Journal of Remote Sensing, 9(4), 799–821.
Chum, J. M., Urban, M., & Pajdla, T. (2002). Robust wide baseline stereo from maximally stable extremal regions. In British Machine Vision Conference (Vol. 72).
Collignon, A., Maes, F., Delaere, D., Vandermeulen, D., Suetens, P., & Marchal, G. (1995). Automated multi-modality image registration based on information theory. In Information processing in medical imaging (Vol. 14, p. 263).
Deng, H., Zhang, W., Mortensen, E., Dietterich, T., & Shapiro, L. (2007). Principal Curvature-Based Region Detector for Object Recognition. In 2007 IEEE Conference on Computer Vision and Pattern Recognition (pp. 1-8). Presented at the 2007 IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, MN, USA. doi:10.1109/CVPR.2007.382972.
Derenyi, E. E., & Saleh, R. K. (2002). Effect Of Resampling On The Geometric And Radiometric Fidelity Of Digital Images. In Geoscience and Remote Sensing Symposium, 1989. IGARSS'89. 12th Canadian Symposium on Remote Sensing., 1989 International (Vol. 2, pp. 620–623).
Derpanis, K. G. (2004). The Harris corner detector. Retrieved February, 2, 2009.
Dickscheid, T., Schindler, F., & Förstner, W. (n.d.). Coding Images with Local Features. International Journal of Computer Vision, 1–21.
Duda, R. O., & Hart, P. E. (1973). Pattern classification and scene analysis.
F\örstner, W., & G\ülch, E. (1987). A fast operator for detection and precise location of distinct points, corners and centres of circular features. In ISPRS Intercommission Workshop, Interlaken (pp. 149–155).
Feng Zhao, Qingming Huang, & Wen Gao. (n.d.). Image Matching by Normalized Cross-Correlation. In 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings (pp. II-729-II-732). Presented at the 2006 IEEE International Conference on Acoustics Speed and Signal Processing, Toulouse, France. doi:10.1109/ICASSP.2006.1660446.
Forssen, P., & Lowe, D. G. (2007). Shape Descriptors for Maximally Stable Extremal Regions. In 2007 IEEE 11th International Conference on Computer Vision (pp. 1-8). Presented at the 2007 IEEE 11th International Conference on Computer Vision, Rio de Janeiro, Brazil. doi:10.1109/ICCV.2007.4409025.
Förstner, W. (1986). A feature based correspondence algorithm for image matching. International Archives of Photogrammetry and Remote Sensing, 26(3), 150–166.
Garzelli, A., & Nencini, F. (2005). Interband structure modeling for Pan-sharpening of very high-resolution multispectral images. Inf. Fusion, 6(3), 213-224.
Gonzalez, R. C., & Woods, R. E. (2001). Digital Image Processing Prentice Hall. New Jersey.
Gore, A. (1998). The digital earth: Understanding our planet in the 21st century. Australian surveyor, 43(2), 89–91.
Goshtasby, A. (2005). 2-D and 3-D image registration for medical, remote sensing, and industrial applications. Wiley-Interscience.
Gruen, A., & Akca, D. (2005). Least squares 3D surface and curve matching. ISPRS Journal of Photogrammetry and Remote Sensing, 59(3), 151–174.
Guide, E. F. (2005). Leica Geosystems Geospatial Imaging. Norcross, GA, 30092.
Haralick, R. M., & Shapiro, L. G. (1992). Computer and robot vision. Addison-Wesley Longman Publishing Co., Inc. Boston, MA, USA.
Harris, C., & Stephens, M. (1988). A Combined Corner and Edge Detection. In Proceedings of The Fourth Alvey Vision Conference (pp. 147-151). Retrieved from http://www.csse.uwa.edu.au/~pk/research/matlabfns/Spatial/Docs/Harris/A_Combined_Corner_and_Edge_Detector.pdf
Harris, C. (1993). Geometry from visual motion. In Active vision (pp. 263-284). MIT Press. Retrieved from http://portal.acm.org/citation.cfm?id=163245
Hasan, M., Jia, X., Robles-Kelly, A., Zhou, J., & Pickering, M. R. (n.d.). MULTI-SPECTRAL REMOTE SENSING IMAGE REGISTRATION VIA SPATIAL RELATIONSHIP ANALYSIS ON SIFT KEYPOINTS.
Höhle, J. (2002). Automated Orientation of Aerial Images. Bildteknik: Image Science, (1), 91–101.Hsieh, J. W., Liao, H. Y., Fan, K. C., Ko, M. T., & Hung, Y. P. (1997). Image registration using a new edge-based approach. Computer Vision and Image Understanding, 67(2), 112–130.
Hu, R., Shi, R., Shen, I., & Chen, W. (2007). Video stabilization using scale-invariant features.
Jensen, J. (2005). Introductory digital image processing : a remote sensing perspective (3rd ed.). Upper Saddle River N.J.: Prentice Hall.
Jensen, J. (2007). Remote sensing of the environment : an earth resource perspective (2nd ed.). Upper Saddle River NJ: Pearson Prentice Hall.
Jensen, K., & Anastassiou, D. (1995). Subpixel edge localization and the interpolation of still images. IEEE Transactions on Image Processing, 4(3), 285-295. doi:10.1109/83.366477
Juan, L., & Gwun, O. (2009). A comparison of SIFT, PCA-SIFT and SURF. International Journal of Image Processing (IJIP), 3(4), 143.
Ke, Y., & Sukthankar, R. (2004). PCA-SIFT: A more distinctive representation for local image descriptors.
Koren, R., & Yitzhaky, Y. (2006). Automatic selection of edge detector parameters based on spatial and statistical measures. Computer Vision and Image Understanding, 102(2), 204–213.
Lee, J. S., Sun, Y. N., Chen, C. H., & Tsai, C. T. (1993). Wavelet based corner detection. Pattern Recognition, 26(6), 853–865.
Lewis, J. P. (1995a). Fast template matching. In Vision Interface (Vol. 10, pp. 120–123).
Lewis, J. P. (1995b). Fast normalized cross-correlation. In Vision Interface (Vol. 10, pp. 120–123).
Lillesand, T. (2000). Remote sensing and image interpretation (4th ed.). New York: John Wiley & Sons.
Lindeberg, T. (1993). Detecting salient blob-like image structures and their scales with a scale-space primal sketch: a method for focus-of-attention. International Journal of Computer Vision, 11(3), 283–318.
Lindeberg, T. (1994). Scale-space theory: A basic tool for analyzing structures at different scales. Journal of applied statistics, 21(1), 225–270.Lindeberg, T., & Eklundh, J. O. (1991). On the computation of a scale-space primal sketch. Journal of Visual Communication and Image Representation, 2(1), 55–78.Lindeberg, T., & G\aarding, J. (1997). Shape-adapted smoothing in estimation of 3-D shape cues from affine deformations of local 2-D brightness structure* 1. Image and Vision Computing, 15(6), 415–434.Lo, T. W., & Siebert, J. P. (2009). Local feature extraction and matching on range images: 2.5 D SIFT. Computer Vision and Image Understanding, 113(12), 1235–1250.
Lowe, D. (1991). Fitting parameterized three-dimensional models to images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13(5), 441-450. doi:10.1109/34.134043
Lowe, D. (1999). Object recognition from local scale-invariant features. In Proceedings of the Seventh IEEE International Conference on Computer Vision (pp. 1150-1157 vol.2). Presented at the Proceedings of the Seventh IEEE International Conference on Computer Vision, Kerkyra, Greece. doi:10.1109/ICCV.1999.790410.
Lowe, D. G. (2004). Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision, 60(2), 91-110. doi:10.1023/B:VISI.0000029664.99615.94.
Marr, D., & Hildreth, E. (1980). Theory of edge detection. Proceedings of the Royal Society of London. Series B, Biological Sciences, 187–217.
Marr, D., & Poggio, T. (1979). A computational theory of human stereo vision. Proceedings of the Royal Society of London. Series B, Biological Sciences, 204(1156), 301–328.
Maschotta, R., Boymann, S., & Hoppe, U. (2007). Comparison of feature-list cross-correlation algorithms with common cross-correlation algorithms. EURASIP Journal on Applied Signal Processing, 2007(1), 52.Mason, R., Brookes, T., & Rumsey, F. (2005). Frequency dependency of the relationship between perceived auditory source width and the interaural cross-correlation coefficient for time-invariant stimuli. The Journal of the Acoustical Society of America, 117, 1337.
Matas, J., Chum, O., Urban, M., & Pajdla, T. (2004). Robust wide-baseline stereo from maximally stable extremal regions. Image and Vision Computing, 22(10), 761-767. doi:10.1016/j.imavis.2004.02.006.
Mather, P. M. (2004). Computer processing of remotely sensed images: an introduction. Wiley.
Matsuoka, R., Sone, M., Fukue, K., Cho, K., & Shimoda, H. (n.d.). Quantitative analysis of image quality of lossy compression images. entropy, 3(4.13), 4–06.
Meijering, E., & Unser, M. (2003). A note on cubic convolution interpolation. IEEE Transactions on Image Processing, 12(4), 477-479. doi:10.1109/TIP.2003.811493
Mikolajczyk, K., & Schmid, C. (2002). An affine invariant interest point detector. PROC. EUROPEAN CONF. COMPUTER VISION, 2350, 128--142.
Mikolajczyk, K., & Schmid, C. (2004). Scale & affine invariant interest point detectors. International Journal of Computer Vision, 60(1), 63–86.Mikolajczyk, K., & Schmid, C. (2005). A performance evaluation of local descriptors. IEEE transactions on pattern analysis and machine intelligence, 1615–1630.
Mikolajczyk, K., Tuytelaars, T., Schmid, C., Zisserman, A., Matas, J., Schaffalitzky, F., Kadir, T., et al. (2005). A comparison of affine region detectors. International journal of computer vision, 65(1), 43–72.Mokhber, A., Achard, C., & Milgram, M. (2008). Recognition of human behavior by space-time silhouette characterization. Pattern Recognition Letters, 29(1), 81-89. doi:10.1016/j.patrec.2007.08.016.Monika Arora. (2009). Detection of Abnormalities in MRI Images using Texture Analysis. Electrical and Instrumentation Engineering Department of Thapar University.
Moravec, H. P., & Stanford Univ., C. D. O. C. S. (1980). Obstacle avoidance and navigation in the real world by a seeing robot rover. Department of Computer Science, Stanford University.
Nemra, A., & Aouf, N. (2009). Robust feature extraction and correspondence for UAV map building. In 2009 17th Mediterranean Conference on Control and Automation (pp. 922-927). Presented at the 2009 17th Mediterranean Conference on Control and Automation (MED), Thessaloniki, Greece. doi:10.1109/MED.2009.5164663.
Nencini, F., Garzelli, A., Baronti, S., & Alparone, L. (2007). Remote sensing image fusion using the curvelet transform. Information Fusion, 8(2), 143-156. doi:10.1016/j.inffus.2006.02.001.
Nieke, J., Schwarzer, H., Neumann, A., & Zimmermann, G. (1997). Imaging spaceborne and airborne sensor systems in the beginning of the next century. In Proc. SPIE (Vol. 3221, pp. 581–592).
Oh, Y. S., Sim, D. G., Park, R. H., Kim, R. C., Lee, S. U., & Kim, I. C. (2006). Absolute position estimation using IRS satellite images. ISPRS Journal of Photogrammetry and Remote Sensing, 60(4), 256–268.
Ohbuchi, R., & Kawamura, S. (2009). Shape-Based Autotagging of 3D Models for Retrieval. Semantic Multimedia, 137–148.
Olson, C. F. (2002). Maximum-likelihood image matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, 853–857.
Olson, C. F., & Matthies, L. H. (1998). Maximum likelihood rover localization by matching range maps. In IEEE International Conference on Robotics and Automation (pp. 272–277).
Priebbenow, R., & Clerici, E. (1988). Cartographic applications of SPOT imagery. International Archives of Photogrammetry and Remote Sensing, 27(B4), 289–297.
Richards, J. A., & Jia, X. (1999). Remote Sensing Digital Image Analysis: An Introduction. (D. E. Ricken & W. Gessner, Eds.). Springer-Verlag New York, Inc. Retrieved from http://portal.acm.org/citation.cfm?id=553536
Richardson, I. (2003). H.264 and MPEG-4 Video Compression: Video Coding for Next Generation Multimedia. Wiley. Retrieved from http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&path=ASIN/0470848375
Roche, A., Malandain, G., & Ayache, N. (2000). Unifying maximum likelihood approaches in medical image registration. International Journal of Imaging Systems and Technology, 11(1), 71–80.Schenk, T. (1999). Digital photogrammetry. TerraScience.
Schenk, T. (2004). From point-based to feature-based aerial triangulation. ISPRS journal of photogrammetry and remote sensing, 58(5-6), 315–329.
Schmid, C., Mohr, R., & Bauckhage, C. (2000). Evaluation of interest point detectors. International Journal of computer vision, 37(2), 151–172.
Se, S., Lowe, D., & Little, J. (2001). Vision-based mobile robot localization and mapping using scale-invariant features. In IEEE international conference on robotics and automation (Vol. 2, pp. 2051–2058).
Shan, J. (2001). An approach to single image automatic orientation and point determination by using ortho-images and a DTM. The Photogrammetric Record, 17(98), 343–353.
Shark, L. K., Kurekin, A. A., & Matuszewski, B. J. (2007). Development and evaluation of fast branch-and-bound algorithm for feature matching based on line segments. Pattern Recognition, 40(5), 1432–1450.
Shi, J., & Tomasi, C. (2002). Good features to track. In Computer Vision and Pattern Recognition, 1994. Proceedings CVPR'94., 1994 IEEE Computer Society Conference on (pp. 593–600).
Shikin, E. V., & Plis, A. I. (1995). Handbook on Splines for the User. CRC.
Shokoufandeh, A., Marsic, I., & Dickinson, S. J. (1999). View-based object recognition using saliency maps. Image and Vision Computing, 17(5-6), 445–460.
Shrestha, B., O’Hara, C. G., & Younan, N. H. (2005). Jpeg2000: Image quality metrics. American Society for Photogrammetry and Remote Sensing. Baltimore, USA.
Smith, S. M. (1992). Feature based image sequence understanding. University of Oxford.
Smith, S. M., & Brady, J. M. (1997). SUSAN—A new approach to low level image processing. International journal of computer vision, 23(1), 45–78.Sobel, I., & Feldman, G. (1968). A 3x3 isotropic gradient operator for image processing. Presentation for Stanford Artificial Project.
Sohn, H., & Kim, K. (2000). Horizontal positional accuracy assessment of historical ARGON satellite photography. KSCE Journal of Civil Engineering, 4(1), 59-65. doi:10.1007/BF02829175Sonka, M., Hlavac, V., & Boyle, R. (1999). Image processing, analysis, and machine vision second edition. International Thomson.
Steger, C. (1998). An unbiased detector of curvilinear structures. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(2), 113-125. doi:10.1109/34.659930
Stephane, M., & Sifen, Z. (1992). Characterization of signals from multiscale edges. IEEE Transactions on Pattern Analysis and machine intelligence, 14(7), 710–732.
Sussman, M. S., & Wright, G. A. (2003). Factors affecting the correlation coefficient template matching algorithm with application to real-time 2-D coronary artery MR imaging. Medical Imaging, IEEE Transactions on, 22(2), 206–216.
Thrun, S., Burgard, W., & Fox, D. (1998). A probabilistic approach to concurrent mapping and localization for mobile robots. Autonomous Robots, 5(3), 253–271.
Toutin, T., & Chénier, R. (2004). GCP Requirement For High-Resolution Satellite Mapping. In Atti de: XXth ISPRS Congress, Istanbul (pp. 12–23).
Trajkovi, M., & Hedley, M. (1998). Fast corner detection. Image and Vision Computing, 16(2), 75–87.
Tsai, D. M., & Lin, C. T. (2003). Fast normalized cross correlation for defect detection. Pattern Recognition Letters, 24(15), 2625–2631.
Tsai, D. M., Lin, C. T., & Chen, J. F. (2003). The evaluation of normalized cross correlations for defect detection. Pattern Recognition Letters, 24(15), 2525–2535.
Tseng, Y. H., Tzen, J. J., Tang, K. P., & Lin, S. H. (1997). Image-to-image registration by matching area features using fourier descriptors and neural networks. Photogrammetric engineering and remote sensing, 63(8), 975–983.
Valgren, C., & Lilienthal, A. J. (2010). SIFT, SURF & seasons: Appearance-based long-term localization in outdoor environments. Robotics and Autonomous Systems, 58(2), 149-156. doi:10.1016/j.robot.2009.09.010
Vural, M. F., Yardimci, Y., & Temizel, A. (2010). Registration of multispectral satellite images with Orientation-Restricted SIFT. In Geoscience and Remote Sensing Symposium, 2009 IEEE International, IGARSS 2009 (Vol. 3).
Wang, Z., Bovik, A. C., & Lu, L. (2002). Why is image quality assessment so difficult? In IEEE International Conference on Acoustics Speech and Signal Processing (Vol. 4, pp. 3313–3316).
Wells III, W. M., Viola, P., Atsumi, H., Nakajima, S., & Kikinis, R. (1996). Multi-modal volume registration by maximization of mutual information. Medical image analysis, 1(1), 35–51.Wen, C., Guyer, D. E., & Li, W. (2009). Local feature-based identification and classification for orchard insects. Biosystems Engineering, 104(3), 299-307. doi:10.1016/j.biosystemseng.2009.07.002
Wilson, H. R., & Giese, S. C. (1977). Threshold visibility of frequency gradient patterns. Vision Research, 17(10), 1177–1190.
Witkin, A. P. (1987). Scale-space filtering. Google Patents.
Wong, R. Y., & Hall, E. L. (1978). Sequential Hierarchical Scene Matching. IEEE Trans. Comput., 27(4), 359-366.
Wu, C., Fraundorfer, F., Frahm, J. M., Snoeyink, J., & Pollefeys, M. (2010). IMAGE LOCALIZATION IN SA℡LITE IMAGERY WITH FEATURE-BASED INDEXING.
Xu, Y., Saber, E., & Tekalp, A. M. (2003). Object segmentation and labeling by learning from examples. Image Processing, IEEE Transactions on, 12(6), 627–638.
Zhang, L., & Gruen, A. (2006). Multi-image matching for DSM generation from IKONOS imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 60(3), 195–211.
Zhang, Y. (2004). Understanding image fusion. Photogrammetric engineering and remote sensing, 70(6), 653–760.
Zheng, Q., & Chellappa, R. (1993). A computational vision approach to image registration. IEEE Transactions on Image Processing: A Publication of the IEEE Signal Processing Society, 2(3), 311-326. doi:10.1109/83.236535
Zitova, B., & Flusser, J. (2003). Image registration methods: a survey. Image and vision computing, 21(11), 977–1000.
網頁資料：
ASTER User Handbook, 2003, http://asterweb.jpl.nasa.gov/default.htm
Eurimage Inc., http://www.eurimage.com
Federal Science Policy Office, http://telsat.belspo.be
IDL Online Help,2006, http://idlastro.gsfc.nasa.gov
Landsat 7 Users Handbook, 2003 , http://ltpwww.gsfc.nasa.gov
PIA Consortium, School of Computer Science, Carnegie Mellon University, http://www.consortium.ri.cmu.edu/index.php
RapidEye AG, http://www.rapideye.de
Space Imaging Inc., http://www.spaceimaging.com
SPOT Inc., http://www.spot.com
國家太空中心,http://www.nspo.gov.tw