Proceedings, XXth congress: Proceedings, XXth congress

Altan, M. Orhan

Bibliographic data

Multivolume work

Persistent identifier:: 1663674213

Title:: Proceedings, XXth congress

Sub title:: Istanbul, 12 - 23 July 2004

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 1663674213

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.; Auch bezeichnet als XXth International Congress for Photogrammetry and Remote Sensing

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Document type:: Multivolume work

Volume

Persistent identifier:: 166368779X

Title:: Proceedings, XXth congress

Scope:: IV, 226 Seiten

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 166368779X

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(35,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: VISUAL AND STATISTICAL QUALITY ASSESSMENT AND IMPROVEMENT OF REMOTELY SENSED IMAGES S. Mohammad Shahrokhy

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 5. CONCLUSIONS Each sensor regarding its design specifications has special Radiometric and Geometric Quality status that directly influences the applications and user& demand. Automatic Quality assessment and mprovement procedures are not always possible and sometimes a simple manual stage needs much complicated automatic stages. But finally most of things that eye senses and recognizes could be modeled by programs with different accuracy and consequently diffeent complexity levels. REFERENCES Abreu, E., Lightstone, M., Mitra, S.K., Arakawa, K., 1996, ”A New Efficient Approach For The Removal Of Impulse Noise From Highly Corrupted Images, IEEE Trans. Image Processing, (5), No. 6, June , pp. 1012-1025. 9607 Andrews H. C, 1976 “Monochrome Digital Image Enhancement," Applied Optics, Vol. 15, No. 2, pp. 495-503. Andrews, H. C., And B. R. Hunt, 1977, “Digital Image Restoration, Prentice-Hall Signal Processing Series A. V. Oppenheim, Ed.,, Prentice-Hall, Englewood CILS, NJ. Avcibas / And B. Sankur, 2000, “Statistical Analysis Of Image Quality Measured’, In Proceedings EUSIPCO2000: 10th European Signal Processing Conference, pp. 2181-2184, 5-8 September, Tampere, Finland Avcibas Ismail 2001, “Image Quality Statistics And Their Use In Steganalysis And Compressiof, Phd Thesis , Bogazichi University. Barrett, H. H., 1990, “Objective AssessmentOf Image Quality. Effects Of Quantum Noise And Object Variability’, Journal Of Optical Society Of America, Vol. A, No. 7, pp. 1261-1278. Barrett, H. H., J. L. Denny, R. F. Wagner And K. J. Myers, 1995, “Objective Assessment Of Image Quality IF Fisher Information, Fourier-Crosstalk, And Figures Of Merit For Task Performance", Journal Of Optical Society Of America, Vol. A, No. 12, pp. 834-852. Buiten, H.J., 1993, “Geometrical And Mapping Aspects Of Remote Sensing”, Gordon And Breach Science Publishers , Reading , pp.297-321. Canny, J, 1986, “A Computational Approach To Edge Detection”, [EEE Transactions On Pattern Analysis And Machine Intelligence, Vol. 8, No. 6, pp. 679-698. Chu, Allen, Kathy Strabala Steve Platnick Eric Moody, Michael King Shana Mattoo, Rich Hucek, Bill Ridgway, 2000 “MODIS Atmosphere QA Plari’, NASA, GSFC. Eskicioglu A. M. And P. S. Fisher, 1995, "Image Quality Measures And Their Performance”, [EEE Transactions On Communications, 43(12), 2959-2965. 108 Hu, J., H. Yan And X. Hu, 1997, “Removal Of Impulse Noise In Highly Corrupted Digital Images Using A Relaxation Algorithm," In Optical Engineering 36(03), Proc SPIE, pp 849- 856. Ishihara, J., M. Meguro And N. Hamada, 1999, “Adaptive Weighted Median Filter Utilizing Impulsive Noise Detection,” In Applications Of Digital Image Processing ’99, Proc SPIE 3808, pp. 406-414. Lubin, J., 1995, *A Visual Discrimination Model For Imaging Systems Design And Evaluation, In Vision Models For Target Detection And Recognition”, (E. Peli, Ed.), pp. 245-283, Singapore: World Scientific. Mekler Y. And Y. J. Kaufman, 1980, *The Effect Of Earth's Atmosphere On Contrast Reduction For A Nonuniform Surface Albedo And TwoHalves Field," J. Geophys. Res., Vol 85, pp.4067—4083. Nill, N. B. And B. H. Bouzas, 1992, "Objective Image Quality Measure Derived From Digital Image Power Spectrà Optical Engineering, Vol. 31, No. 4, pp. 813-825. Richards, J.A. And X. Jia, 1999, “Remote Sensing Digital Image Analysis — An Introduction”, Third Edition, Springer Verlag New York Tao, H. And T. Huang, 1997, “Color Image Edge Detection Using Cluster Analysis, /EEE, International Conference On Image Processing, pp. 834-836, California. Taylor, Christopher C., 1998, “Image Quality Assessment Based On A Human Visual System Model, Phd Thesis , Purdue University. Vermote E., N. Z. El Saleous C. O. Justice, Y. J. Kaufman, J. L. Privette, L. Remer, J. C. Roger, And D. Tanre, 1997, “ Atmospheric Correction Of Visible To Middlelnfrared EOS- MODIS Data Over Land Surfaces: Background, Operational Algorithm And Validation,” J. Geophys Res., Vol. 102, pp.17131—17142. Watson, A. B. (Ed.), 1993, “Digital Images And Human Vision”, Cambridge, MA, MIT Press. Westen, S. J. P. , R. L. Lagendijk And J. Biemond, 1995, “Perceptual Image Quality Based On A Multiple ChannelHVS Model," Proc. Of IEEE Int'l Conf On Acoust., Speech And Sig. Proc., pp. 2351 - 2354. KE AB Wi po: Th apy Th der wit lea an po: the cot of po: Su] the on go ph of mo ea wil po: Ov lec

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