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Russian data on spectral reflectance of vegetation, soil and rock types : Final Technical report
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Year: 1966 Publisher: Zürich : Juris Druck + Verlag Zürich,

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The stanford infrared spectra processing package
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Year: 1969 Publisher: Stanford (Calif.) : Stanford University,

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Mission 78 - Flights 1 and 2 : Ninety day report
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Year: 1970 Publisher: Stanford (Calif.) : Stanford University,

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Book
Space shuttle
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Year: 1975 Publisher: Houston : Lyndon B. Johnson space center,

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NASA Earth Resources Survey Symposium abstracts
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Year: 1975 Publisher: Houston : Lyndon B. Johnson space center,

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Interpreting remote sensing imagery: human factors
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ISBN: 1566704138 Year: 2001 Publisher: Boca Raton (Fla.) Lewis

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Despite the importance of satellite remote sensing technology in all aspects of environmental science, psychological research is only now beginning to experimentally examine the human factor in interpreting remote sensing imagery. Interpreting Remote Sensing Imagery: Human Factors draws together leading psychologists, leading remote sensing scientists, and scientists in both government and industry, to consider issues involving expertise and perceptual skill in satellite image interpretation. Topics in the book range from the aesthetics of scientific visualization, to the mathematical analysis of perceptible objects, to the applied problems of training and interface design.

Assessing the accuracy of remotely sensed data : principles and practices
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ISBN: 0873719867 Year: 1999 Publisher: Boca Raton (Fla.) : Lewis,

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Principles of optical data processing for engineers
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Year: 1966 Publisher: Greenbelt (Md.) : NASA. Goddard space flight center,

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New developments and challenges in remote sensing : proceedings of the 26th Symposium of the European association of remote sensing laboratories, Warsaw, Poland, 29 May-2 June 2006
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ISBN: 9059660536 9789059660533 Year: 2007 Publisher: Rotterdam : Millpress,

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Classification methods for remotely sensed data
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ISBN: 0415259088 0415259096 Year: 2001 Publisher: New York (N.Y.) : Routledge,

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This comprehensive emphasizes new methods involved in the extraction of thematic information from remotely sensed images, including neural networks (especially artificial neural networks), fuzzy theory, texture and quantization, and the use of Markov random fields. It is concise and accessible and the authors conclude with coverage of the state-of-the-art topics of multisource data analysis, evidential reasoning and genetic algorithms. Including a full color section and basic remote sensing theory, Classification Methods for Remotely Sensed Data will prove invaluable for advanced undergraduate students and graduates/researchers in the field.

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