Abstract
For us, Pattern Recognition refers to the automatic machine determination of salient patterns in remotely sensed image data. From the pattern recognition perspective, the world to be sensed is composed of units defined by the sensor. For digital imaging sensors, as a first approximation, the units can be thought of as small non-overlapping areas on the ground: one such area for each picture element (pixel) in the image. The sensor makes an ordered set of measurements on each unit sensed. The ordered set of measurements is called a measurement vector or measurement pattern. Each value measured in this set is a number proportional to the energy received by the sensor in some band of the electromagnetic spectrum at some specified observation time. The basic pattern recognition problem is first to automatically and consistently determine the informational class or category of each distinct region on the ground using the set of sensor measurement patterns and second to estimate the error rate for the automatically determined assignments.
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References
a. k. Aggrawala, (Ed.). Machine Recognition of Patterns, ieee Press, New York, 1977.
Harry Andrews, Introduction to Mathematical Techniques in Pattern Recognition, Prentice Hall, New Jersey, 1972, 504 pages.
A. G. Arkadev and E. M. Braverman, Computer and Pattern Recognition, Thompson Book Company Inc., Washington, D.C., 1966.
B. G. Batchelor, (Ed.), Pattern Recognition lûs&s. in Practice, Plenum Press, New York, 1978.
B. G. Batchelor, (Ed.), Pattern Approaches to Pattern Classification/ Plenum Press, New York, 1974.
Casey and Nagy, “Advances is Pattern Recognition” Scientific American, Vol. 224, No. 4, April 1971, p. 56–71.
c. H. Chen, Statistical Pattern Recognition, Hayden, Washington, D.C., 1973.
Richard Duda and Peter Hart, Pattern Classification &Scene Analysis, Wiley, New York, 1973, 482 Pages.
K. S. Fu, D. A. Landgrebe and T. L. Philips, “Information Processing of Remotely Sensed Agricultrual Data,” Proceedings of the IEEE, Vol. 57, No. 4, April 1969, pp. 639–653.
K. S. Fu, Syntactic Methods In Pattern Recognition, Academic Press, New York, 1974, 397 Pages.
F. S. Fu, (Ed.), Pattern Recognition and Machine Learning, Plenum Press, New York, 1971.
K. S. Fu and A. B. whinston, Pattern Recognition Theory and Application. Noordhoff-Leyden, Netherlands, 1977.
K. S. Fu, Sequential Methods in Pattern Recognition and Machine Learning, Academic Press, New York, 1978.
Keinosuke Fukunaga, Introduction to Statistical Pattern Recognition. Academic Press, New York, 1972, 382 pages.
Y. C. Ho and A. K. Aggrawala,“On Pattern Classification Algorithms Introduction and Survey,”ProceedingsoftheIEEE, Vol. 56, No. 12, December 1968, pp.2101–2114.
L. N. Kanal, “Interactive Pattern Analysis and Classification System: A Survey and Commentary,” Proceedings of the IEEE, Vol. 60, No. 11, October 1972, pp. 1200–1215.
L. N. Kanal, “Patterns in Pattern Recognition: 1968–1974,” IEEE Transactions on Information Theory, Vol. IT-20, No. 6, November 1974, pp. 697–722.
L. N. Kanal, (Ed.), Pattern Recognition, Thompson Book Company, Washington, D.C., 1968.
William Meisel, Computer-Oriented Approaches to Pattern Recognition, Academic Press, New York, 1972, 262 Pages.
J. M. Mendel and K. S. Fu, (Eds.), Adaptive, Learning âü£ Pattern Recognition Systems; Theory and Applications, Academic Press, New York, 1970.
George Nagy “State of the Art in Pattern Recognition”Proceedings of the IEEE, Vol. 56, No.5, May 1968, pp. 836–862.
George Nagy “Digital Image-Processing Activities in Remote Sensing for Earth Resources” Proceeding of the IEEE, Vol. 60, No. 10, October 1972, pp. 1177–1199.
N. J. Nilsson, Learning Machine, McGraw-Hill, New York, 1965.
Edward Patrick, Fundamentals of Pattern Recogintion,Prentice hall, New Jersey, 1972, 528 pages.
G. S. sebestyen, Decision Making Processes In Pattern Recognition, The Macmillan Company, New York, 1962.
J. skiansky, (Ed.), Pattern Recognition, Introduction and Foundation, Dowden Hutchinson and Rose, Inc., Pennsylvania 1972.
Julius Tou and Rafael Gonzalez, Pattern Recognition Principles, Addison-Wesley, Mass. 1974, 377 pages.
Jullian Ullman, Pattern Recognition Techniques, Crane-Russak, New York, 1973, 412 pages.
Satosi watanabe, (Ed.), Methodologies of Pattern Recognition, Academic Press, New York, 1969, 579 pages.
Satosi watanabe, Frontiers of Pattern Recognition, Academic Press, New York, 1972.
T. Y. Young and T. W. Calvert, Classification, Estimation, and Pattern Recognition, American Elsevier, New York, 1974.
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© 1983 Springer-Verlag Berlin Heidelberg
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Haralick, R.M. (1983). Pattern Recognition of Remotely Sensed Data. In: Haralick, R.M. (eds) Pictorial Data Analysis. NATO ASI Series, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82017-5_17
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DOI: https://doi.org/10.1007/978-3-642-82017-5_17
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