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IKONOS, ASTER VE LANDSAT UYDU VERİLERİNİN MANYEZİT ARAŞTIRMALARINDA KARŞILAŞTIRILMASI: MİHALIÇÇIK-ESKİŞEHİR-TÜRKİYE ÖRNEĞİ

Year 2007, Volume: 22 Issue: 3, 41 - 56, 01.09.2007

Doğan Aydal İpek USLU Taşdelen

Abstract

Bu çalışmanın amacı, çeşitli sınıflama ve filtreleme teknikleri kullanarak, Ikonos, Aster ve Landsat 7 ETM+ uydu verilerinin manyezit aramacılığında karşılaştırılmalarını sağlamaktır. Bu uydu verileri üzerinde yapılan bütün sınıflama ve filtreleme çalışmaları sonrasında, “Isodata, K means, Adaptive and Fuzzy C means” tipi yönlendirilmemiş sınıflamaların ve “Edge detection” tipi filtrelemenin manyezitce zengin bölgelerin tanımlanmasında en uygun metodlar olduğu görülmüştür. Bütün çalışmalar Arc GIS 9.0 ve TNT Mips 6.4 ortamında yapılmıştır. Elde edilen sonuçlar saha çalışmaları ile denetlenmiş ve numunelerin GPS ile elde edilen koordinatları kullanılarak yapılan yönlendirilmiş sınıflama da, yapılan çalışmaların doğruluğunu bir kez daha göstermiştir. Çözünürlüğünün yüksek olması sebebiyle, Ikonos uydu verilerinden elde edilen sonuçların manyezit alanlarının bulunmasında çok etken olduğu görülmüştür.

Keywords

Ikonos Aster Landsat 7 ETM+ sınıflama filtreleme

References

  • Abrams, M.J., Brown, D., Lepley, L. & Sadowski, R., 1983, Remote sensing for copper deposits in Southern Arizona. Economic Geology 78, 591-604.
  • Abrams, M.J., Ashley, R.P., Rowan, L.C., Goetz, A. & Kahle, A.B., 1977, Mapping of hydrotermal alteration in the Cuprite mining district, Nevada, using aircraft scanner images for the spectral region 0.46-2,36µm. Geology 5.713-718.
  • Arıkal, R., T., Boyalı, İ. 1986, Yunusemre-Karaçam-Dumluca (Mihalıççık, Sivrihisar-Eskişehir) yöresinin Nikel-Kobalt maden jeoloji raporu M.T.A. Rap.No: 8032.
  • Asutay, H. J., Küçükayman, A. ve Gözler, M.Z., 1989, Dağküplü (Eskişehir-Kuzeyi) ofiyolit karmaşığının stratigrafisi, yapısal konumu ve kümülatların petrografisi. M.T.A. Dergisi v.109, 1 say., Ankara.
  • Baştanoğlu,D.,1974, Eskişehir-Mihalıççık Dolaylarının Krom Prospeksiyon Raporu, MTA Rapor No: 5252.
  • Bovık, A.C., M. Clark ve Geisler, W.S., 1990, Multichannel texture analysis using localized spatial filters. IEEE Trans. Patt. Anal. Mach. Int. 12(1), 55–73.
  • Boyalı, İ., 1984, Yunusemre-Karaçam-Doğray-Karkın-Karaburhan-Dümrek (Mihalıçcık-SivrihisarEskişehir) yöresi Nikel-Kobalt prospeksiyon raporu. M.T.A. Rap.No, 7589.
  • Campbell, J., 1981, Spatial Correlation Effects upon Accuracy of Supervised Classification of Land Cover. Photogramm Eng.Rem. Sens. 47(3), 355-63.
  • Congalton, R.G., Oderwald, R.G., ve Mead. R.A., 1983, Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques. Photogram. Eng. Remote Sens. 49(12), 1671– 1678.
  • Crosta, A. and Moore, J. McM., 1989, Enhancement of Landsat Thematic Mapper imagery for residual soil mapping in SW Minais Gerais State, Brazil: a prospecting case history in Greenstone belt terrain. In: Proceedings of the 7th ERIM Thematic Conference: Remote sensing for exploration geology, 1173-1187.
  • Danishwar, S., 2001, Interpretation of ASTER remote sensing data on northwest Kohistan Terrain, Pakistan Himalayas, GSA Annual Meeting, November 2001, USA.
  • Daugman, J.G., 1985, Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortex filters. J. Opt. Soc. Am. A A, 2(7), 1160–1169.
  • Friedl, M.A., and Brodley, C.E., 1997, Decision tree classification of land cover from remotely sensed data, Remote Sens. Environ. 61, 399-409.
  • Gurney, M.C., and Townshend J.R.G., 1983. The use of contextual information in the classification of remotely sensed data. Photogramm Eng. Remote Sens., 49(1), 55-64.
  • Gözler, M., Cevher, F. ve Küçükayman, A., 1985, Eskişehir civarının jeolojisi ve sıcak su kaynakları. M.T.A. Dergisi, No: 103-104, Ankara.
  • Haris, J.R., Renez, A.N.,Ballantyne, B. & Sheridan, C., 1998. Mapping altered rocks using Landsat TM and lithogeochemical data: Sulphurets-Brucejack Lake district, British Colombia, Canada. Photogrammetric Engineering and Remote Sensing 64, 309-322.
  • Harwood, D., Ojala, T., Pietkainem, M., Kelman, S., and Davis, L., 1995, Texture classification by centersymmetric auto-correlation, using Kullback discrimination of distribution. Pattern Recogn Lett 16 (1): 1-10.
  • Gong, P., and Howarth, P. J.,1990, “The Use of Structural Information for Improving Land-Cover Classification Accuracies at the Rural-Urban Fringe”, Photogrammetric Engineering and Remote Sensing, 56, 67-73.
  • İnce, İ. ve Demirhan, M., 1984, Manyezit ve Eskişehir-Kütahya manyezitleri; Refrakter Hammaddeler, Panel ve Bildiriler, T.M.M.O.B. Jeoloji Müh. Odası Yay., No 18, 35-52.
  • Karaaslan, N., 1978, Eskişehir-Mihalıççık-Karaçam demir-nikel cevherleşmesi jeolojik raporu. M.T.A. Rap. No, 6356. Ankara.
  • Kaufman, H., 1988, Mineral exploration along the Agaba-Levant structure by use of TM-data concepts, processing and results. International Journal of Remote Sensing 9, 1630-1658.
  • Kibici, Y., Dağ, N. ve Özgenç, İ., 1994, Orta Sakarya Havzası (Eskişehir-Bilecik) Pegmatitlerinin Minerolojisi ve Jeokimyası T.J.K. Bül. 9, 24-32.
  • Missalati, A., Prelat, A.E. ve Lyon, R. J. P., 1979, Simultaneous use of geological, geophysical and Landsat digital data in uranium exploration. Remore Sensing of Environment 8, 189-210.
  • Loughlin, W. P., 1991, Principal Component Analysis for alteration mapping. Photogrammetric Engineering and Remote Sensing, 57, 1163-1169.
  • Ramoser, H. Muller-Gerking, J. and Pfurtscheller, G., 2000, Optimal spatial filtering of single trial EEG during imagined hand movement, IEEE Trans. Rehab. Eng. 8, 441-446.
  • Sabine, C., 1999, Remote sensing strategies for mineral exploration. In Remote Sensing for the Earth Sciences-Manual of Remote Sensing, 3rd edn, edited by A. Rencz (New York: American Society of Photogrammetry and Remote Sensing/John Wiley and Sons), 375-447.
  • Sarkar, A., Biswas, M. K., Kartikeyan, B., Kumar, V., Majumder, K. L. and Pal, D. K., 2002, A MRF model-based segmentation approach to classification for multispectral imagery. IEEE Transactions on Geoscience and Remote Sensing 40(5), 1102–1113.
  • Singh, A., and Harrison, A., 1985. Standardized principal components. International Journal of Remote Sensing 6, 883-896.
  • Şentürk, K. ve Karaköse, C. 1979, Orta Sakarya dolayının temel Jeolojisi raporu M.T.A. Rap. No, 6642
  • Tomas, I. L. ,1980, Spatial postprocessing of spectrally classified Landsat data, Photogrammetic Engineering and Remote Sensing 46, 1201-1206.
  • Vaidyanathan P.P. and Nguyen, T.Q., 1987, Eigenfilters: A New Approach to Least-Squares FIR Filter Design and Applications Including Nyquist Filters, IEEE Trans. Circ. Syst. 34, 11-23.
  • Walter, V., 2004, Object-based classification of remote sensing data for change detection, ISPRS Journal of Photogrammetry and Remote Sensing 58, 225- 238.
  • Wilkinson, G. G., 2005, Results and implications of a study of fifteen years of satellite image classification experiments. IEEE Transactions on Geoscience and Remote Sensing 43(3), 433–440

Year 2007, Volume: 22 Issue: 3, 41 - 56, 01.09.2007

Doğan Aydal İpek USLU Taşdelen

Abstract

The aim of the study is to compare the Ikonos, Aster and Landsat 7 ETM+ data on magnesite research by applying all kind of classifications and filtering techniques. All processes were performed in Arc GIS 8.2 and TNT Mips 6.4 GIS-RS environment. As a results of the all processes performed in these satellite images, “ Isodata,K means, Adaptive and Fuzzy C means” unsupervised classifications and “Edge detection” filtering technique were found most helpful for determination of the magnesite rich areas. All results were checked by ground truth and final supervised classifications were made according to GPS data of the samples. In addition to that the Ikonos satellite image is found more capable for detecting magnesite rich areas because of its high resolution.

Keywords

Ikonos Aster Landsat classification filtering

References

  • Abrams, M.J., Brown, D., Lepley, L. & Sadowski, R., 1983, Remote sensing for copper deposits in Southern Arizona. Economic Geology 78, 591-604.
  • Abrams, M.J., Ashley, R.P., Rowan, L.C., Goetz, A. & Kahle, A.B., 1977, Mapping of hydrotermal alteration in the Cuprite mining district, Nevada, using aircraft scanner images for the spectral region 0.46-2,36µm. Geology 5.713-718.
  • Arıkal, R., T., Boyalı, İ. 1986, Yunusemre-Karaçam-Dumluca (Mihalıççık, Sivrihisar-Eskişehir) yöresinin Nikel-Kobalt maden jeoloji raporu M.T.A. Rap.No: 8032.
  • Asutay, H. J., Küçükayman, A. ve Gözler, M.Z., 1989, Dağküplü (Eskişehir-Kuzeyi) ofiyolit karmaşığının stratigrafisi, yapısal konumu ve kümülatların petrografisi. M.T.A. Dergisi v.109, 1 say., Ankara.
  • Baştanoğlu,D.,1974, Eskişehir-Mihalıççık Dolaylarının Krom Prospeksiyon Raporu, MTA Rapor No: 5252.
  • Bovık, A.C., M. Clark ve Geisler, W.S., 1990, Multichannel texture analysis using localized spatial filters. IEEE Trans. Patt. Anal. Mach. Int. 12(1), 55–73.
  • Boyalı, İ., 1984, Yunusemre-Karaçam-Doğray-Karkın-Karaburhan-Dümrek (Mihalıçcık-SivrihisarEskişehir) yöresi Nikel-Kobalt prospeksiyon raporu. M.T.A. Rap.No, 7589.
  • Campbell, J., 1981, Spatial Correlation Effects upon Accuracy of Supervised Classification of Land Cover. Photogramm Eng.Rem. Sens. 47(3), 355-63.
  • Congalton, R.G., Oderwald, R.G., ve Mead. R.A., 1983, Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques. Photogram. Eng. Remote Sens. 49(12), 1671– 1678.
  • Crosta, A. and Moore, J. McM., 1989, Enhancement of Landsat Thematic Mapper imagery for residual soil mapping in SW Minais Gerais State, Brazil: a prospecting case history in Greenstone belt terrain. In: Proceedings of the 7th ERIM Thematic Conference: Remote sensing for exploration geology, 1173-1187.
  • Danishwar, S., 2001, Interpretation of ASTER remote sensing data on northwest Kohistan Terrain, Pakistan Himalayas, GSA Annual Meeting, November 2001, USA.
  • Daugman, J.G., 1985, Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortex filters. J. Opt. Soc. Am. A A, 2(7), 1160–1169.
  • Friedl, M.A., and Brodley, C.E., 1997, Decision tree classification of land cover from remotely sensed data, Remote Sens. Environ. 61, 399-409.
  • Gurney, M.C., and Townshend J.R.G., 1983. The use of contextual information in the classification of remotely sensed data. Photogramm Eng. Remote Sens., 49(1), 55-64.
  • Gözler, M., Cevher, F. ve Küçükayman, A., 1985, Eskişehir civarının jeolojisi ve sıcak su kaynakları. M.T.A. Dergisi, No: 103-104, Ankara.
  • Haris, J.R., Renez, A.N.,Ballantyne, B. & Sheridan, C., 1998. Mapping altered rocks using Landsat TM and lithogeochemical data: Sulphurets-Brucejack Lake district, British Colombia, Canada. Photogrammetric Engineering and Remote Sensing 64, 309-322.
  • Harwood, D., Ojala, T., Pietkainem, M., Kelman, S., and Davis, L., 1995, Texture classification by centersymmetric auto-correlation, using Kullback discrimination of distribution. Pattern Recogn Lett 16 (1): 1-10.
  • Gong, P., and Howarth, P. J.,1990, “The Use of Structural Information for Improving Land-Cover Classification Accuracies at the Rural-Urban Fringe”, Photogrammetric Engineering and Remote Sensing, 56, 67-73.
  • İnce, İ. ve Demirhan, M., 1984, Manyezit ve Eskişehir-Kütahya manyezitleri; Refrakter Hammaddeler, Panel ve Bildiriler, T.M.M.O.B. Jeoloji Müh. Odası Yay., No 18, 35-52.
  • Karaaslan, N., 1978, Eskişehir-Mihalıççık-Karaçam demir-nikel cevherleşmesi jeolojik raporu. M.T.A. Rap. No, 6356. Ankara.
  • Kaufman, H., 1988, Mineral exploration along the Agaba-Levant structure by use of TM-data concepts, processing and results. International Journal of Remote Sensing 9, 1630-1658.
  • Kibici, Y., Dağ, N. ve Özgenç, İ., 1994, Orta Sakarya Havzası (Eskişehir-Bilecik) Pegmatitlerinin Minerolojisi ve Jeokimyası T.J.K. Bül. 9, 24-32.
  • Missalati, A., Prelat, A.E. ve Lyon, R. J. P., 1979, Simultaneous use of geological, geophysical and Landsat digital data in uranium exploration. Remore Sensing of Environment 8, 189-210.
  • Loughlin, W. P., 1991, Principal Component Analysis for alteration mapping. Photogrammetric Engineering and Remote Sensing, 57, 1163-1169.
  • Ramoser, H. Muller-Gerking, J. and Pfurtscheller, G., 2000, Optimal spatial filtering of single trial EEG during imagined hand movement, IEEE Trans. Rehab. Eng. 8, 441-446.
  • Sabine, C., 1999, Remote sensing strategies for mineral exploration. In Remote Sensing for the Earth Sciences-Manual of Remote Sensing, 3rd edn, edited by A. Rencz (New York: American Society of Photogrammetry and Remote Sensing/John Wiley and Sons), 375-447.
  • Sarkar, A., Biswas, M. K., Kartikeyan, B., Kumar, V., Majumder, K. L. and Pal, D. K., 2002, A MRF model-based segmentation approach to classification for multispectral imagery. IEEE Transactions on Geoscience and Remote Sensing 40(5), 1102–1113.
  • Singh, A., and Harrison, A., 1985. Standardized principal components. International Journal of Remote Sensing 6, 883-896.
  • Şentürk, K. ve Karaköse, C. 1979, Orta Sakarya dolayının temel Jeolojisi raporu M.T.A. Rap. No, 6642
  • Tomas, I. L. ,1980, Spatial postprocessing of spectrally classified Landsat data, Photogrammetic Engineering and Remote Sensing 46, 1201-1206.
  • Vaidyanathan P.P. and Nguyen, T.Q., 1987, Eigenfilters: A New Approach to Least-Squares FIR Filter Design and Applications Including Nyquist Filters, IEEE Trans. Circ. Syst. 34, 11-23.
  • Walter, V., 2004, Object-based classification of remote sensing data for change detection, ISPRS Journal of Photogrammetry and Remote Sensing 58, 225- 238.
  • Wilkinson, G. G., 2005, Results and implications of a study of fifteen years of satellite image classification experiments. IEEE Transactions on Geoscience and Remote Sensing 43(3), 433–440
There are 33 citations in total.

Details

Other ID JA47VK75UB
Journal Section Articles
Authors

Doğan Aydal This is me

İpek USLU Taşdelen This is me

Publication Date September 1, 2007
Published in Issue Year 2007 Volume: 22 Issue: 3

Cite

APA Aydal, D., & Taşdelen, İ. U. (2007). IKONOS, ASTER VE LANDSAT UYDU VERİLERİNİN MANYEZİT ARAŞTIRMALARINDA KARŞILAŞTIRILMASI: MİHALIÇÇIK-ESKİŞEHİR-TÜRKİYE ÖRNEĞİ. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi, 22(3), 41-56.
AMA Aydal D, Taşdelen İU. IKONOS, ASTER VE LANDSAT UYDU VERİLERİNİN MANYEZİT ARAŞTIRMALARINDA KARŞILAŞTIRILMASI: MİHALIÇÇIK-ESKİŞEHİR-TÜRKİYE ÖRNEĞİ. sujest. September 2007;22(3):41-56.
Chicago Aydal, Doğan, and İpek USLU Taşdelen. “IKONOS, ASTER VE LANDSAT UYDU VERİLERİNİN MANYEZİT ARAŞTIRMALARINDA KARŞILAŞTIRILMASI: MİHALIÇÇIK-ESKİŞEHİR-TÜRKİYE ÖRNEĞİ”. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi 22, no. 3 (September 2007): 41-56.
EndNote Aydal D, Taşdelen İU (September 1, 2007) IKONOS, ASTER VE LANDSAT UYDU VERİLERİNİN MANYEZİT ARAŞTIRMALARINDA KARŞILAŞTIRILMASI: MİHALIÇÇIK-ESKİŞEHİR-TÜRKİYE ÖRNEĞİ. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi 22 3 41–56.
IEEE D. Aydal and İ. U. Taşdelen, “IKONOS, ASTER VE LANDSAT UYDU VERİLERİNİN MANYEZİT ARAŞTIRMALARINDA KARŞILAŞTIRILMASI: MİHALIÇÇIK-ESKİŞEHİR-TÜRKİYE ÖRNEĞİ”, sujest, vol. 22, no. 3, pp. 41–56, 2007.
ISNAD Aydal, Doğan - Taşdelen, İpek USLU. “IKONOS, ASTER VE LANDSAT UYDU VERİLERİNİN MANYEZİT ARAŞTIRMALARINDA KARŞILAŞTIRILMASI: MİHALIÇÇIK-ESKİŞEHİR-TÜRKİYE ÖRNEĞİ”. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi 22/3 (September 2007), 41-56.
JAMA Aydal D, Taşdelen İU. IKONOS, ASTER VE LANDSAT UYDU VERİLERİNİN MANYEZİT ARAŞTIRMALARINDA KARŞILAŞTIRILMASI: MİHALIÇÇIK-ESKİŞEHİR-TÜRKİYE ÖRNEĞİ. sujest. 2007;22:41–56.
MLA Aydal, Doğan and İpek USLU Taşdelen. “IKONOS, ASTER VE LANDSAT UYDU VERİLERİNİN MANYEZİT ARAŞTIRMALARINDA KARŞILAŞTIRILMASI: MİHALIÇÇIK-ESKİŞEHİR-TÜRKİYE ÖRNEĞİ”. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi, vol. 22, no. 3, 2007, pp. 41-56.
Vancouver Aydal D, Taşdelen İU. IKONOS, ASTER VE LANDSAT UYDU VERİLERİNİN MANYEZİT ARAŞTIRMALARINDA KARŞILAŞTIRILMASI: MİHALIÇÇIK-ESKİŞEHİR-TÜRKİYE ÖRNEĞİ. sujest. 2007;22(3):41-56.

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