Göktürk-2 ve Worldview-2 Uydu Görüntüleri için Görüntü Keskinleştirme Yöntemlerinin Değerlendirilmesi

Bu çalışmada, Göktürk-2 keskinleştirme yapılmış görüntüsünün kırsal ve kentsel bölgelerdeki başarısının değerlendirilmesi amaçlanmıştır. Çalışma alanı olarak Trabzon ilinin Sürmene ilçesi seçilmiştir.Görüntü keskinleştirmesi için 5m konumsal çözünürlüklü dört adet Multispektral(MS) banda ve bir adet 2.5 m konumsal çözünürlüklü Pankromatik (PAN) banda sahip Göktürk-2 uydu görüntüsü ve 0.5 m konumsal çözünürlüklü Worldview-2 PAN bandı kullanılmıştır. İlk olarak, görüntülerin ön işlemesi için Göktürk-2 MS ve PAN görüntüleri, Worldview-2 PAN görüntüsüne göre piksel altı Root Mean Square (RMS) değeriyle geometrik olarak düzeltilmiştir. Ardından Göktürk-2 MS ile Göktürk-2 PAN görüntüleri, ve Göktürk-2 MS ile Worldview-2 PAN görüntülerinin sekiz farklı yöntem ile keskinleştirme işlemi gerçekleştirilmiştir. Görüntü keskinleştirme işlemi için Ehler's, Gram–Schimdt (GS), Hyperspherical Colour Sphere (HCS), High-Pass Filter (HPF), Intensity Hue Saturation (IHS), Principal Component (PC), Color Normalized (CN) ve Wavelet tabanlı yöntemleri kullanılmıştır. Keskinleştirme yapılmış görüntülerin kalitesi yaygın olarak kullanılan ve, spektral ve konumsal kaliteyi ölçen metrikler ile değerlendirilmiştir. Ayrıca doku bilgisini çıkaran Gabor filtresi de bu çalışmada metrik olarak kullanılmıştır. Bunun yanında keskinleştirme yapılmış görüntülerin değerlendirilmesi için bitki ve su indisleri çıkarılmıştır. Orijinal ve keskinleştirme yapılmış görüntülerin indisleri arasındaki korelâsyon katsayıları hesaplatılmıştır. Değerlendirme sonucuna göre, kentsel alan için CN , kırsal alanda ise HPF ve HCS görüntü keskinleştirme yöntemleri ile elde edilen sonuçların spektral ve konumsal anlamda daha az bozulmaya sahip olduğu görülmüştür. Genel olarak kentsel ve kırsal alan için CN yönteminin doku bilgisini daha iyi yansıttığı ve indisler yönünden de daha yüksek korelâsyona sahip olduğu gözlenmiştir.

Anahtar Kelimeler:

Görüntü füzyonu, Gabor, Göktürk-2, Worldview-2

Assessment of Image Fusion for Göktürk-2 and Worldview-2 Satellite Images

In this study, it is aimed assessment of success of Göktürk-2 fused image for urban and rural regions. Sürmene distict of Trabzon were selected as study area. For image fusion, Göktürk-2 space borne sensor, which captures data in four Multispectral MS (5 m spatial resolution) bands and one Panchromatic (PAN) (2.5 m spatial resolution) band,and Worldview-2 PAN (0.5 m spatial resolution) band were used. Firstly, for the images pre-processing Göktürk-2 MS and PAN images were registered by using Worldview-2 PAN images as sub-pixel RMS value. And then Göktürk-2 MS and Göktürk-2 PAN images, and Göktürk-2 MS and Worldview-2 PAN images were fused with the eight different methods. It was used Ehler's, Gram–Schimdt (GS), Hyperspherical Colour Sphere (HCS), High-Pass Filter (HPF), Intensity Hue Saturation (IHS), Principal Component (PC), Color Normalized (CN) and Wavelet based methods for image fusion. Quality of fused images were assessed commonly used metrics that measures the spectral and spatial quality. Also Gabor filter that extracts texture information was used as metric. Furhermore, Vegetation and water indices were exploited to assess the fused images. The correlation coefficient between the indices of the original and the fused images was calculated. As a result of evaluation, it was seen that for urban CN, for rural HPF and HCS fusion methods had less deterioration in spectral and spatial terms. Generally, it has been observed that CN methods better reflect texture information in and has a higher correlation in terms of indices urban and rural areas.

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