Classification of Terkos Basin Wetlands Environment Using Hyperion-EO-1 Image

Abstract

In this study, different analyses were conducted to determine Terkos basin wetlands and surrounded land use and land cover with high accuracy by using Hyperion EO-1 data with 220 spectral bands. Three different methodologies were followed. Firstly, image preprocessing steps were applied to data. The first application included the segmentation of the pre-processed Hyperion data into four spectral regions and classification of each region using maximum likelihood supervised classification method. In the second application, Principal Component Analysis PCA was applied to each spectral region and eight different components were gathered from spectral regions. Supervised classification was applied to new data set. In the third analysis, PCA was implemented to pre-processed data and three components were selected for supervised classification. Overall accuracy and Kappa statistics were applied for the accuracy assessment of the three analyses.

Keywords

• Remote Sensing, Image Processing, Classification, Hyperion EO-1, Wetlands.

Terkos Havzası Sulak Alanları ve Civarının Hyperion EO-1 Görüntüsü ile Sınıflandırılması

Abstract

220 bantlı hiperspektral Hyperion EO-1 uydu görüntüsü kullanılarak gerçekleştirilen bu çalışma ile Terkos havzası sulak alanları ve civarının arazi örtüsü ve arazi kullanımı özelliklerinin yüksek doğrulukta ortaya konması için çeşitli analizler gerçekleştirilmiştir. Çalışma için üç farklı metodoloji izlenmiştir. Öncelikle Hyperion EO-1 göntüsünün ön işlemesi gerçekleştirilmiştir. İlk uygulama ön işlemesi yapılan görüntünün spektral dört bölgeye ayrılması ve her bir bölgenin en çok benzerlik kontrollü sınıflandırma yöntemi ile sınıflandırılmasını içermektedir. İkinci uygulamada dört spektral bölgenin herbirine Ana Bileşen Dönüşümü ABD uygulanmış ve oluşturulan sekiz bantlı yeni görüntü en çok benzerlik yöntemi ile sınıflandırılmıştır. Üçüncü analiz ise ön işleme yapılmış görüntüye ABD uygulanması ve ilk üç bileşenin kontrollü sınıflandırılmasını içermektedir. Genel doğruluk ve Kappa istatistikleri ile üç yöntemin doğruluk değerlendirmesi yapılmıştır.

Keywords

• Uzaktan algılama, Görüntü İşleme, Sınıflandırma, Hyperion EO-1, Sulak Alan.

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