REFERENCES


Chapter1
Chapter2
Chapter3
Chapter4

Chapter5
Chapter6
Chapter7
Chapter8


FURTHER READINGS

Chapter1
Chapter2
Chapter3
Chapter4

Chapter5
Chapter6
Chapter7
Chapter8


1. References

Campbell, J.B., 1987. Introduction to Remote Sensing, The Guilford Press.

Gonzalez, R.C., P. Wintz, 1987. Digital Image Processing. 2nd Ed., Addison-Wesley, Reading:MA.

Lillesand, T.M. and Kiefer, R.W., 1987, Remote Sensing and Image Interpretation, Sec. Ed., John Wiley and Sons, Inc.: Toronto.

Emphasis on aerial photography, photogrammetry, photo interpretation, non-photographic sensing systems and their image interpretation, and introduction to digital image processing.

Staenz, K., 1992. A decade of imaging spectrometry in Canada. Canadian Journal of Remote Sensing. 18(4):187-197.

Lists most of the imaging spectrometers developed worldwide. Sensor calibration and various applications.

Pratt, W., 1991. Digital Image Processing. John Wiley and Sons, Inc.: Toronto.

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1. Further Readings

Asrar G., ed. 1989, Theory and Applications of Optical Remote Sensing, John Wiley and Sons, Toronto.

A selection of most important fields of optical remote sensing ranging from the physical basis of energy-meter interaction, vegetation canopy modelling, atmospheric effects reduction, applications to forest, agriculture, coastal wetland, geology, snow and ice, climatology and meteorology, and ecosystem. Its emphasis is on the application of remote sensing to understanding land-surface processes globally.

Jensen, J.R., 1986, Digital Image Processing, an Introductionary Perspective. Prentice-Hall: Englewood Cliffs, N.J.

A good introduction book on digital image analysis concepts and procedures. A show how type of book. Easy for beginners. Typical topics covered include image statistics , image enhancement in spatial domain, geometric correction, classification, change detection. Completely related to a remote sensing context.

Richards, J.A., 1986, Digital Image Processing, Springer-Verlag: New York.

A good introduction book. More mathematical than Jensen's book. Some additional materials in comparison to Jensen's book include an entire chapter on Fourier Transform. Relationships among some basic image enhancement and image classification algorithms.

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2. References

Barry, and Chorley, 1982. Climate, Weather and Atmosphere, Longman: London

Elachi, C., 1987. Introduction to the Physics and Techniques of Remote Sensing, John Wiley and Sons, Inc.: Toronto

Lillesand, T.M. and Kiefer, R.W., 1994, Remote Sensing and Image Interpretation, 3rd Ed., John Wiley and Sons, Inc.: Toronto.


3. References

Ahmed, S. and H.R. Warren, 1989. The Radarsat System. IGARSS'89/12th Canadian Symposium on Remote Sensing. Vol. 1. pp.213-217.

Anger, C.D., S. K. Babey, and R. J. Adamson, 1990, A New Approach to Imaging Spectroscopy, SPIE Proceedings, Imaging Spectroscopy of the Terrestrial Environment, 1298: 72 - 86. - specifically, CASI

Curlander, J.C., and McDonough R. N., 1991. Synthetic Aperture Radar, Systems & Signal Processing. John Wiley and Sons: New York.

Elachi, C., 1987. Introduction to the Physics and Techniques of Remote Sensing. John Wiley and Sons, New York.

King, D., 1992. Development and application of an airborne multispectral digital frame camera sensor. XVIIth Congress of ISPRS, International Archives of Photogrammetry and Remote Sensing. B1:190-192.

Lenz, R. and D. Fritsch, 1990. Accuracy of videometry with CCD sensors. ISPRS Journal of Photogrammetry and Remote Sensing, 90-110.

Lillesand, T.M. and Kiefer, R.W., 1994, Remote Sensing and Image Interpretation, 3rd. Ed., John Wiley and Sons, Inc.: Toronto.

Luscombe, A.P., 1989. The Radarsat Synthetic Aperture Radar System. IGARSS'89/12th Canadian Symposium on Remote Sensing. Vol. 1. pp.218-221.

Staenz, K., 1992. A decade of imaging spectrometry in Canada. Canadian Journal of Remote Sensing. 18(4):187-197.

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4. References

Jensen, J.R., 1986. Digital Image Processing, a Remote Sensing Perspective.

Schwarz, K-P., Chapman, M.A., Canon, E.C. and Gong, P., 1993. An integrated INS/GPS approach to the georeferencing of remotely sensed data. Photogrametric Engineering and Remote Sensing, 59(11): 1667-1673.

Shlien, S., 1979. Geometric correction, registration, and resampling of Landsat Imagery. Canadian Journal of Remote Sensing. 5(1):74-87.


5. References

Forster, B.C., 1984. Derivation of atmspheric correction procedures for Landsat MSS with particular reference to urban data. Int. J. of Remote Sensing . 5(5):799-817.

Horn, B.K.P., 1986. Robot Vision. The MIT Press:Toronto.

Horn, B.K.P., and Woodham, R.J., 1979. Destriping Landsat MSS images by histogram modification. Computer Graphics and Image Processing. 10:69-83.

Richards, J.A., 1986. Digital Image Processing. Springer-Verlag: Berlin.

Tanre, D., Deuze, J.L., Herman, M., Santer, R., Vermonte, E., 1990. Second simulation of the satellite signal in the solar spectrum - 6S code. IGARSS'90, Washington D.C., p. 187.


5. Further Readings:

Woodham, R.J., and Gray, M.H., 1987. An analytic method for radiometric correction of satellite multispectral scanner data. IEEE Transactions on Geosciences and Remote Sensing. 25(3):258-271.

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6. References

Crist, E.P. and Cicone, R.C., 1984. A physically-based transformation of the Thematic Mapper data - the Tessled Cap. IEEE Transactions on Geoscience and Remote Sensing. GE-23:256-263

Crist,E.P., and KauthR.J., 1986. The Tessled Cap De-Mystified. Photogrammetric Engineering and Remote Sensing. 52(1):81-86.

Huete, A.R., 1989. Soil influences in remotely sensed vegetation canopy spectra. In Theory and Applications of Optical Remote Sensing. Ed. by G. Asrar, John Wiley and Sons: New York.

Kauth, R.J., Thomas, G.S. 1976. The tessled cap - a graphic description of the spectral-temporal development of agricultural crops as seen by Landsat. Proceedings of the symposium on Machine Processing of Remotely Sensed Data. Purdue University, West Lafayette, Indiana, pp. 4B41-51.

Pratt, W., 1991. Digital Image Processing. John Wiley and Sons: Toronto.

Richards, J.A., 1987. Digital Image Processing. Springer-Verlag, Berlin.

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7. References

Chen, Q., and others, 1989. Remote Sensing and Image Interpretation. Higher Education Press, Beijing, China, (In Chinese).

Gong P. and P.J. Howarth, 1990a. Land cover to land use conversion: a knowledge-based approach, Technical Papers, Annual Conference of American Society of Photogrammetry and Remote Sensing, Denver, Colorado, Vol. 4, pp.447-456.

_____, 1990b. An assessment of some factors influencing multispectral land-cover classification, Photogrammetric Engineering and Remote Sensing, 56(5):597-603.

_____, 1990c. Impreciseness in land-cover classification: its determination, representation and application. The International Geoscience and Remote Sensing Symposium, IGARSS '90, pp. 929-932.

_____, 1992a. Frequency-based contextual classification and grey-level vector reduction for land-use identification. Photogrametric Engineering and Remote Sensing, 58(4):421-437.

_____, 1992b. Land-use classification of SPOT HRV data using a cover-frequency method. International Journal of Remote Sensing, .

_____, 1993. An assessment of some small window-based spatial features for use in land-cover classification, IGARSS'93, Tokyo, August 18-22, 1993.

Gonzalez, R. C., and P. Wintz, 1987. Digital Image Processing, 2nd. Ed., Addison-Wesley Publishing Company, Reading, Mass.

Haralick, R. M., 1979. Statistical and structural approaches to texture. Proceedings of the IEEE, 67(5):786-804.

Haralick, R. M., Shanmugan, K. and Dinstein, I., 1973. Texture features for image classification. IEEE Transactions on System, Man and Cybernetics, SMC-3(6):610-621.

Hsu, S., 1978. Texture-tone analysis for automated landuse mapping. Photogrammetric Engineering and Remote Sensing, 44(11):1393-1404.

Jensen, J.R., 1983. Urban/Suburban Land Use Analysis. In R.N. Colwell (editor-in-chief), Manual of Remote Sensing, Second Edition, American Society of Photogrammetry, Falls Church, USA, pp. 1571-1666.

Lillesand, T. M., and R. W. Kiefer, 1994. Remote Sensing and Image Interpretation. 3rd Edition, John Wiley and Sons, New York.

Peddle, D., 1991. Unpublished Masters Thesis, Department of Geography, The University of Calgary.

Richards, J. A., 1986. Remote Sensing Digital Image Analysis: An Introduction. Springer-Verlag, Berlin.

Rosenfield, G. H., and K. Fitzpatrick-Lins, 1986. A coefficient of agreement as a measure of thematic classification accuracy. Photogrammetric Engineering and Remote Sensing, 52(2):223-227.

Story, M. and R. G. Congalton, 1986. Accuracy assessment, a user's perspective. Photogrammetric Engineering and Remote Sensing, 52(3):397-399.

Swain, P. H., and S. M. Davis (editors.), 1978. Remote Sensing: The Quantitative Approach. McGraw-Hill, New York.

Yen, J., 1989. Gertis: a Dempster-Shafer approach to diagosing hierarchical hypotheses. Communications of the ACM. 32(5):573-585.

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7. Further Readings

Ball, G. H., and J. D. Hall, 1967. A clustering technique for summarizing multivariate data. Behavioral Science, 12:153-155.

Bezdek, J.C., R. Ehrlich & W. Fall, 1984, FCM: the fuzzy c-means clustering algorithm, Computers and Geoscience, 10:191-203.

Bishop, Y. M. M., S. E. Feinberg, and P. W. Holland, 1975. Discrete Multivariate Analysis - Theory and Practice. The MIT Press, Cambridge, Mass.

Chittineni, C. B., 1981. Utilization of spectral-spatial information in the classification of imagery data. Computer Graphics and Image Processing, 16:305-340.

Cibula, W. G., M. O. Nyquist, 1987, Use of topographic and climatological models in geographical data base to improve Landsat MSS classification for Olympic national park. Photogrammetric Engineering and Remote Sensing, 53(1):67-76.

Cohen, J., 1960. A coefficient of agreement for nominal scales. Educational and Psychological Measurement, Vol. 20, No. 1, pp. 37-46.

Congalton, R. G., and R. A. Mead, 1983. A quantitative method to test for consistency and correctness in photointerpretation. Photogrammetric Engineering and Remote Sensing, 49(1):69-74.

Conners, R. W., and C. A. Harlow, 1980. A theoretical comparison of texture algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-2(3): 204-222.

Fleiss, J. L., J. Cohen, and B. S. Everitt, 1969. Large sample standard errors of Kappa and weighted Kappa. Psychological Bulletin, Vol. 72, No. 5, pp. 323-327.

Fu, K. S and Yu, T. S., 1980. Spatial Pattern Classification Using Contextual Information, Research Studies Press, Chichester, England.

Fung, T., and E. F. LeDrew, 1987. Land cover change detection with Thematic Mapper spectral/textural data at the rural-urban fringe. Proceedings of 21st Symposium on Remote Sensing of Environment, Ann Arbor, Mi., Vol. 2, pp.783-789.

_____, 1988. The determination of optimal threshold levels for change detection using various accuracy indices. Photogrammetric Engineering and Remote Sensing, 54(10):1449-1454.

Gong, P., D. Marceau, and P. J. Howarth, 1992. A comparison of spatial feature extraction algorithms for land-use mapping with SPOT HRV data. Remote Sensing of Environment. 40:137-151.

Gong, P., J. R. Miller, J. Freemantle, and B. Chen, 1991. Spectral decomposition of Landsat TM data for urban land-cover mapping, 14th Canadian Symposium on Remote Sensing, pp.458-461.

Ketting, R. J., and Landgrebe, D. A., 1976. Classification of multispectral image data by extraction and classification of homogeneous objects. IEEE Transactions on Geoscience and Electronics, GE-14(1):19-26.

Landgrebe, D. A. and E. Malaret, 1986. Noise in remote sensing systems: the effects on classification error. IEEE Transactions on Geoscience and Remote Sensing, GE-24(2):

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8. References

Crain, I.K., Gong, P., Chapman, M.A., 1993. Implementation considerations for uncertainty management in an ecologically oriented GIS. GIS'93, Vancouver, B.C., pp.167-172.

Duda, R. O. and P. E. Hart, 1973. Pattern Classification and Scene Analysis. Wiley and Sons, New York, 482p.

Freeman J.A., D. M. Skapura, 1991. Neural Networks, Algorithms, Applications, and Programming Techniques, Addison-Wesley:New York.

Gong, P., 1993. Change detection using principal component analysis and fuzzy set theory. Canadian Journal of Remote Sensing. 19(1): 22-9.

Gong, P., and D.J. Dunlop, 1991. Comments on Skidmore and Turner's supervised non-parametric classifier. PE&RS. 57(1):1311-1313.

Gong, P. and P. J. Howarth, 1990. Land cover to land use conversion: a knowledge-based approach, Technical Papers, Annual Conference of American Society of Photogrammetry and Remote Sensing, Denver, Colorado, Vol. 4, pp.447-456.

Gong, P., A. Zhang, J. Chen, R. Hall, I. Corns, Ecological land systems classification using multisource data and neural networks, Accepted by GIS'94, Vancouver, B.C., February, 1994.

Goodchild, M.F., G. Sun, S. Yang, 1992. Development and test of an error model for categorical data. International Journal of Geographical Information Systems. 6(2): 87-104.

Kosko, B., 1992. Neural Networks and Fuzzy Systems. Prentice-Hall; Englewood Cliffs, New Jersey.

Kruse R., E. Schwecke, J. Heinsohn, 1991. Uncertainty and Vagueness in Knowledge Based on Systems, Numerical Methods. Springer-Verlag: New York.

Mark D. and Cscillag F., 1989. The nature of boundaries on area-class maps. Cartographica, pp. 65-77.

Pao Y., 1989. Adaptive Pattern Recognition and Neural Networks. Addison-Wesley: Reading, MA.

Richards, J. A., 1986. Remote Sensing Digital Image Analysis: An Introduction. Springer-Verlag, Berlin.

Shinghal R., 1992. Formal Concepts in Artificial Intelligence, Fundamentals. Chapman & Hall: New York.

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