Proceedings, XXth congress: Proceedings, XXth congress

Altan, M. Orhan

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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 2004 Periodic and random noise can be reduced by increasing the Since atmospheric haze directly affects the histogram of the ratio of signal to noise (figure 9) (Abreu ef al 1996, Hu et al image (shift and compression), histogram transformation 1997, Ishihara ef al 1999). techniques are employed to eliminate it(figure 11) (Mekler & could Kaufman 1990). 4 n 1Cy um of ent a f the S X Figure 9. Image No.3 (PAN) after noise removal Fundamentally band missing problem could not be eliminated : st be ange ay Ssing D d $C maniac Figure 11. Image No.5 (LISSIII) after haze removal jacent or improved because of significant loss of data but sometimes replacement of values obtained from the correlaton equation to ; : à Y 3 4.3 Geometric Quality Improvement other bands can be useful however not appropriate for all of the features. Geometric Quality improvement methods are listed irtable 6. 4.2 Atmospheric Quality Improvement = ; : p Q y mp Geometric Manual Automatic In table 5, removal methods of atmospheric effects are QE Improvement Improvement mentioned. Ha Band to band Conformal Sub pixel Edge matching misregistration | Transf. & (Canny 1986,Tao & Atmospheric Manual Statistical Resampling Huan 1997) Problem Elimination Elimination Image to map Rectification Rectification using Cloud Cover Cloud masking by | Cloud masking by misregistration | using Manually | template matching region growing clustering and selected GCP's technique thresholding Table 6. Geometric Quality defects andimprovement methods Haze Conventional HMM correction : enhancements and stretching Using sufficient and well distributed GCPs, the image can be (Andrews 1976) rectified properly and be matched to the overlaid vector map Kats Table 5. Atmospheric problems andremoval methods (figure 12) (Buiten 1993). ld be them Once cloud is recognized, a nullor zero value is assigned to the | corresponding pixels(figure 10). Figure 10. Image No.4 (AVHRR) Cloud masked Figure 12. Image No.6 (MODIS) Image to map registration

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