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UZAKTAN ALGILAMA VERİLERİNDE SINIFLANDIRMA DOĞRULUĞUNUN BELİRLENMESİ YÖNTEMLERİ

Year 2006, Volume: 56 Issue: 2, 71 - 88, 01.07.2006

Hakan Yener Ayhan Koç H. Oğuz Çoban

Abstract

1970'li yıllardan günümüze, geliştirilmiş çok sayıda algılayıcı verisi, geniş
alanlara yönelik bilgi toplama ve çeşitli konusal haritaların üretilmesinde
yaygın bir şekilde kullanılmaktadır. Uzaktan algılanmış görüntülerden elde
edilen veri ve haritaların kullanıcıları, doğal olarak kullanacakları bilginin
doğruluğunu sorgular. Ancak, doğruluk ile ilgili soruları, ikna edici bir
tarzda yanıtlamak oldukça güçtür. Bu makalede, uzaktan algılama
verilerinden elde edilmiş bir harita veya sınıflandırılmış bir görüntünün
doğruluğunun farklı doğruluk değerlendirme yöntemlerine göre nasıl
belirlendiği, bir örnek üzerinde uygulamalı olarak anlatılmıştır.

Keywords

Uzaktan Algılama Doğruluk Belirleme Hata Matrisi Üretici Doğruluğu Kullanıcı Doğruluğu İhmal Hatası Görev Hatası

References

  • ARONOFF, S. 1982: Classification Accuracy : A User Approach. Photogrammetric Engineering and Remote Sensing, Vo1.48, No.8, August 1982, pp.1299-1307.
  • ASPRS, i997: Manuel of Photographic Interpretation. ASPRS (American Society for Photogrammetry and Remote Sensing), Second Edition, ISBN 1-57083-039-8.689 sayfa.
  • CAMPBELL, J.B. 1996: Introduction to Remote Sensing. Second Edition. Virginia Polytechnic Institute and State University, The Guildford Pres, New York-London.
  • CARD, D.H. 1982: Using known map category marginal frequencies to improve estimates of thematic map accuraey. Photogrammetric Engineering & Remote Sensing 48(3): pp. 431-439.
  • CONGALTON. R.ç:;. 1991: A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37( i): pp. 35-46.
  • CONGALTON, R. G.; GREEN. K. 1993: A practical look at the sources of confusion in error matrix generation. Photogrammetric Engineering and Remote Sensing, 59, 641- 644.
  • CONGAL TON. R.G. 1994 : Accuracy assessment of remotely sensed data: future needs and directions. In: Proceedings of Pecora 12 land information from space-based systems ( pp. 383- 388). Bethesda: ASPRS.
  • FOOOY. G.M. 2002: Status of land cover Cıassification accuracy assessment. Remote Sensing of Environrnent. 80 (2002) 185- 20 i
  • HA Y, A.M. 1979 : Sampling Designs to Test Land Use Map Accuracy. Photogrammetric Engineering and Remote Sensing, Vo1.45, No.4, April 1979, pp.529-533.
  • HORD.R.M.; BROONER, W. 1976: Land Use Map Accuracy Criteria. Photogrammetric Engineering and Remote Sensing, Vo1.46, pp.671-677.
  • JANSSEN, L.L.F.;VAN DER WEL, FJ.M. 1994: Accuracy assessment of sarellite derived landcover data: a review. Photogrammetric Engineering and Remote Sensing, 60,4 i9- 426.
  • JENSEN, J. R. 1996: Introductory digital image processing. A remote sensing perspective.Second Edition, New Jersey: Prentice-Hall.
  • LILLESAND, T.M.; KIEFER, R.W .. 1994 : Remote Sensing and Image Interpretation. Third Edition. ISBN 0-471-57783-9, Printed and bound by Rfc.Donnelleyrf.rawfordsville), The cover was printed by Lehigh Pres, Printed in the USA.
  • MATHER. P.M. 1993: Computer Processing of Rernotely-Sensed lmages. Third Edition. ISBN O 47 i 906484. Printed and bound in Great Britain by Biddles Ltd. Guildford and King's Lynn.
  • RICHARDS, J.A.; JIA, X. 1999 : Remote Sensing Digital Image Analysis. Third. Revised and Enlarged Edition, ISBN 3-540-64860-7, Springer-Verlag Berlin Heidelberg New York.
  • SMITS, P. C.; DELLEPIANE. S. G.; SCHOWENGERDT, R. A. 1999: Quality assessment of image classification a1gorithms for land-cover mapping: a reviewand proposal for a cost-based approach. International Journal of Remote Sensing, 20, 1461-1486.
  • STORY, M.; CONGALTON, R.G. 1986: Accuracy assessment: a user's perspective. Photogrammetric Engineering and Remote Sensing, 52, 397- 399.

Year 2006, Volume: 56 Issue: 2, 71 - 88, 01.07.2006

Hakan Yener Ayhan Koç H. Oğuz Çoban

Abstract

References

  • ARONOFF, S. 1982: Classification Accuracy : A User Approach. Photogrammetric Engineering and Remote Sensing, Vo1.48, No.8, August 1982, pp.1299-1307.
  • ASPRS, i997: Manuel of Photographic Interpretation. ASPRS (American Society for Photogrammetry and Remote Sensing), Second Edition, ISBN 1-57083-039-8.689 sayfa.
  • CAMPBELL, J.B. 1996: Introduction to Remote Sensing. Second Edition. Virginia Polytechnic Institute and State University, The Guildford Pres, New York-London.
  • CARD, D.H. 1982: Using known map category marginal frequencies to improve estimates of thematic map accuraey. Photogrammetric Engineering & Remote Sensing 48(3): pp. 431-439.
  • CONGALTON. R.ç:;. 1991: A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37( i): pp. 35-46.
  • CONGALTON, R. G.; GREEN. K. 1993: A practical look at the sources of confusion in error matrix generation. Photogrammetric Engineering and Remote Sensing, 59, 641- 644.
  • CONGAL TON. R.G. 1994 : Accuracy assessment of remotely sensed data: future needs and directions. In: Proceedings of Pecora 12 land information from space-based systems ( pp. 383- 388). Bethesda: ASPRS.
  • FOOOY. G.M. 2002: Status of land cover Cıassification accuracy assessment. Remote Sensing of Environrnent. 80 (2002) 185- 20 i
  • HA Y, A.M. 1979 : Sampling Designs to Test Land Use Map Accuracy. Photogrammetric Engineering and Remote Sensing, Vo1.45, No.4, April 1979, pp.529-533.
  • HORD.R.M.; BROONER, W. 1976: Land Use Map Accuracy Criteria. Photogrammetric Engineering and Remote Sensing, Vo1.46, pp.671-677.
  • JANSSEN, L.L.F.;VAN DER WEL, FJ.M. 1994: Accuracy assessment of sarellite derived landcover data: a review. Photogrammetric Engineering and Remote Sensing, 60,4 i9- 426.
  • JENSEN, J. R. 1996: Introductory digital image processing. A remote sensing perspective.Second Edition, New Jersey: Prentice-Hall.
  • LILLESAND, T.M.; KIEFER, R.W .. 1994 : Remote Sensing and Image Interpretation. Third Edition. ISBN 0-471-57783-9, Printed and bound by Rfc.Donnelleyrf.rawfordsville), The cover was printed by Lehigh Pres, Printed in the USA.
  • MATHER. P.M. 1993: Computer Processing of Rernotely-Sensed lmages. Third Edition. ISBN O 47 i 906484. Printed and bound in Great Britain by Biddles Ltd. Guildford and King's Lynn.
  • RICHARDS, J.A.; JIA, X. 1999 : Remote Sensing Digital Image Analysis. Third. Revised and Enlarged Edition, ISBN 3-540-64860-7, Springer-Verlag Berlin Heidelberg New York.
  • SMITS, P. C.; DELLEPIANE. S. G.; SCHOWENGERDT, R. A. 1999: Quality assessment of image classification a1gorithms for land-cover mapping: a reviewand proposal for a cost-based approach. International Journal of Remote Sensing, 20, 1461-1486.
  • STORY, M.; CONGALTON, R.G. 1986: Accuracy assessment: a user's perspective. Photogrammetric Engineering and Remote Sensing, 52, 397- 399.
There are 17 citations in total.

Details

Primary Language Turkish
Journal Section Research Articles (Araştırma Makalesi)
Authors

Hakan Yener This is me

Ayhan Koç This is me

H. Oğuz Çoban This is me

Publication Date July 1, 2006
Published in Issue Year 2006 Volume: 56 Issue: 2

Cite

APA Yener, H., Koç, A., & Çoban, H. O. (2006). UZAKTAN ALGILAMA VERİLERİNDE SINIFLANDIRMA DOĞRULUĞUNUN BELİRLENMESİ YÖNTEMLERİ. Journal of the Faculty of Forestry Istanbul University, 56(2), 71-88. https://doi.org/10.17099/jffiu.80125
AMA Yener H, Koç A, Çoban HO. UZAKTAN ALGILAMA VERİLERİNDE SINIFLANDIRMA DOĞRULUĞUNUN BELİRLENMESİ YÖNTEMLERİ. J FAC FOR ISTANBUL U. July 2006;56(2):71-88. doi:10.17099/jffiu.80125
Chicago Yener, Hakan, Ayhan Koç, and H. Oğuz Çoban. “UZAKTAN ALGILAMA VERİLERİNDE SINIFLANDIRMA DOĞRULUĞUNUN BELİRLENMESİ YÖNTEMLERİ”. Journal of the Faculty of Forestry Istanbul University 56, no. 2 (July 2006): 71-88. https://doi.org/10.17099/jffiu.80125.
EndNote Yener H, Koç A, Çoban HO (July 1, 2006) UZAKTAN ALGILAMA VERİLERİNDE SINIFLANDIRMA DOĞRULUĞUNUN BELİRLENMESİ YÖNTEMLERİ. Journal of the Faculty of Forestry Istanbul University 56 2 71–88.
IEEE H. Yener, A. Koç, and H. O. Çoban, “UZAKTAN ALGILAMA VERİLERİNDE SINIFLANDIRMA DOĞRULUĞUNUN BELİRLENMESİ YÖNTEMLERİ”, J FAC FOR ISTANBUL U, vol. 56, no. 2, pp. 71–88, 2006, doi: 10.17099/jffiu.80125.
ISNAD Yener, Hakan et al. “UZAKTAN ALGILAMA VERİLERİNDE SINIFLANDIRMA DOĞRULUĞUNUN BELİRLENMESİ YÖNTEMLERİ”. Journal of the Faculty of Forestry Istanbul University 56/2 (July 2006), 71-88. https://doi.org/10.17099/jffiu.80125.
JAMA Yener H, Koç A, Çoban HO. UZAKTAN ALGILAMA VERİLERİNDE SINIFLANDIRMA DOĞRULUĞUNUN BELİRLENMESİ YÖNTEMLERİ. J FAC FOR ISTANBUL U. 2006;56:71–88.
MLA Yener, Hakan et al. “UZAKTAN ALGILAMA VERİLERİNDE SINIFLANDIRMA DOĞRULUĞUNUN BELİRLENMESİ YÖNTEMLERİ”. Journal of the Faculty of Forestry Istanbul University, vol. 56, no. 2, 2006, pp. 71-88, doi:10.17099/jffiu.80125.
Vancouver Yener H, Koç A, Çoban HO. UZAKTAN ALGILAMA VERİLERİNDE SINIFLANDIRMA DOĞRULUĞUNUN BELİRLENMESİ YÖNTEMLERİ. J FAC FOR ISTANBUL U. 2006;56(2):71-88.
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