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:: IMPROVEMENT OF IMAGE CLASSIFICATION WITH THE INTEGRATION OF TOPOGRAPHICAL DATA Deniz Gerçek

Document type:: Multivolume work

Structure type:: Chapter

ibul 2004 ormed to f spectral ata only), sification raining 2 yield P3, idditional products. between accuracy uracy of rror) and re tested roduct 1, the error /o greater ch single ement in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 470 000 472 000 474 000 476 000 4 480 000 —4 478 000 -4 476 000 1.4474 000 — 4472 000 LEGEND [CT] Auicultuie Range-shrub LI] Range-heib 0 1000 N 2000 meters A M Forest Figure 5: Product 1: Classification Product of bands used as input and trained by T1 (Training set for bands) 470 000 472 000 474 000 476 000 »—4 480 000 -4 478 000 4472 000 E. LEGEND CO Agriculture Range-shrub [7] Rangehei. 0 1000 N 2000 meters A ME Forest Figure 6: Product 2: Classification Product of bands, DTM and slope used as input and trained by T2 (Training set for bands, DTM and Slope) 57 Class GT 1 GT2 GT 3 GT4 Total. Accuracy 1 120 41 34 3 198 60.6% 2 97 514 125 11 747 68.8% 3 170 265 710 3 1148 61.8% 4 0 44 0 43 87 50.5% total 387 864 869 60 2180 accuracy 31.0% 64.5% 81.7% 0% Overall Accuracy 63.6% Khat Statistic 41.6% Table 2: Error matrix for Productl; (1) Agriculture, (2) range-shrub, (3) range-herb., (4) Forest Class GT I GT2 GT3 GT4 Total Accuracy 1 187 19 32 1 239 78.2% 2 25 646 107 14 792 81.5% 3 175 730 730 2 1070 68.2% 4 0 0 0 43 79 54.4% total 387 864 869 60 2180 accuracy 48.3% 74.7% 84.0% 71% Overall Accuracy 73.6% Khat Statistic 58.8% Table 3: Error matrix for Product 2; (1) Agriculture, (2) range-shrub, (3) range-herb., (4) Forest Class GT GT23 GT 3 GT4 Total Accuracy I 127 35 33 2 197 64.4% 2 9] 520 117 11 739 70.4% 3 169 265 719 4 1137 62.1% 4 0 44 0 43 87 50.5% total 387 864 869 60 2180 accuracy 32.8% 65.3% 82.7% 0% Overall Accuracy 64.7% Khat Statistic 43.2% Table 4: Error matrix for Product 3; (1) Agriculture, (2) range-shrub, (3) range-herb., (4) Forest CONCLUSION In this study, a method primarily based on integrating ancillary data into classification procedure as a component is presented. The results of the classification with the integration of topographical data verified that the method yielded a reasonable amount of improvement in classification where conventional logical channel approach provided only slight amount of increase in total accuracy. Highest improvement is obtained for agriculture and lowest for forest. Classes, when put into sequential order to comprehend relative improvement due to integration of topography show the same sequence with the classes listed sequentially by means of their correlation with topographical parameters. The case presents

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