Dinesh SATHYAMOORTHY

5524

Çoklu ölçekli sayısal yükseklik modellerinden çıkarılan fizyografik detaylara ait yüzey doku özelliklerinin gri düzey eş-oluşum matrisi ile analizi

Bu çalışmanın amacı çoklu ölçekli Sayısal Yükseklik Modellerinden SYMler çıkarılan fizyografik detaylara ait yüzey doku özelliklerinin analizinde Gri Düzey Eş-Oluşum Matrisi GDEM ’nin kullanılmasıdır. Enerji, kontrast, otokorelasyon ve entropi olmak üzere dört GDEM parametresi yatay 0° , düşey, ve köşegen 45 and 135° yönler boyunca hücre çiftleri için hesaplanmıştır. Çeşitli yüzey profilleri ve farklı ölçeklerde oluşan değişimler nedeniyle fizyografik özellikler ve bunlara karşılık gelen SYMler için GDEM parametrelerinin çiziminde çeşitli örüntüler gözlemlenmektedir. Çoklu ölçeklendirme esnasında yeryüzündeki detayların yumuşatılması nedeniyle azalan engebeliliği gösterecek şekilde yüzey özellikleri artan enerji ve entropi değerlerine sahip olurken, azalan kontrast ve entropi değerleri oluşmaktadır. Farklı ölçeklerde farklı yüzey özellikleri ile karşılaştırıldıklarında dağlar en yüksek, havzalar ise en düşük engebelilik değerlerine sahip olmaktadır. Her bir parametre için dört farklı hücre çifti yönüne ait çizimlerde benzer eğilimler gözlenmektedir. Yani, farklı ölçeklerde, farklı yönlerde yüzey doku özelliklerindeki değişimde benzer eğilimler oluşmaktadır. Fakat, her bir yöndeki dokusal tekdüzeliğe bağlı olarak farklı yönler için değişen değerler gözlenmiştir. Elde edilen sonuçlar göstermektedir ki, GDEM, yeryüzü şekillerine ait farklı doku özelliklerine dayanan çoklu ölçekli SYMleri kullanarak sınıflandırma yapmak için uygun bir araçtır.
Anahtar Kelimeler:

Çoklu ölçekli sayısal yükseklik modeli SYM, Fizyografik detaylar, Yüzey doku özelliği, Gri düzey eş-oluşum matrisi GDEM, hücre çifti

Analysis of surface textures of physiographic features extracted from multiscale digital elevation models via grey level co-occurrence matrix

This paper is aimed at employing grey level co-occurrence matrix GLCM to analyse the surface textures of physiographic features extracted from multiscale digital elevation models DEMs . Four GLCM parameters, energy, contrast, autocorrelation and entropy, are computed for horizontal 0° , vertical 90° and diagonal 45 and 135° cell pair orientations. For the respective DEMs and physiographic features, varying patterns are observed in the plots of the GLCM parameters due to varying surface profiles and the changes that occur over the scales. Due to the smoothing of the terrain during multiscaling, the features have increasing values of energy and entropy, and decreasing values of contrast and entropy, indicating decreasing roughness. Mountains have the highest roughness as compared to the other features over the scales, while basins have the lowest roughness. For each parameter, similar trends are observed in the plots for the four different cell pair orientations, indicating similar trends of change of surface texture in the different orientations over the scales. However, varying values are observed for the different orientations, depending on textural uniformity in the corresponding orientations. The results obtained demonstrate that GLCM can be an appropriate tool for classifying landforms from multiscale DEMs based on the different texture characteristics of the landforms.
Keywords:

Multiscale digital elevation models DEMs, physiographic features, surface texture, grey level co-occurrence matrix GLCM, cell pairs,

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Jeodezi ve Jeoinformasyon Dergisi-Cover
  • ISSN: 2147-1339
  • Yayın Aralığı: Yılda 2 Sayı
  • Başlangıç: 2012
  • Yayıncı: TMMOB Harita ve Kadastro Mühendisleri Odası
Arşiv
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