A NEW CHANGE DETECTION APPROACH BASED ON WAVELET TRANSFORMATION AND GAUSSIAN MIXTURE MODELS FOR OPTICAL IMAGERY IN DISASTER MANAGEMENT

Yıl 2018, , 171 - 179, 31.01.2018

Ümit Haluk Atasever

https://doi.org/10.28948/ngumuh.386438

Öz

   Disasters such as forest fires and floods are among most important
problems of both our country and the world. In order to be able to perform
rapid rehabilitation processes after disaster, damaged areas should be
determined with high accuracy quickly. In this study, a new approach, designed
for optical images, based on wavelet transform and Gaussian mixture models is
proposed for detection of damaged areas after disasters such as fire and flood.
In the first step of the presented approach, standard and logarithmic
difference images from images belonging before and after disaster are
calculated. Second, median filter to standard difference image and wiener
filter to logarithmic difference image are applied, respectively.  After that, these images are fused with
wavelet transformation. Lastly, fused image is clustered with Gaussian mixture
models and thus the areas damaged by the disasters are identified.  The effectiveness of the approach was
explored using Sardinia and Mexico data sets resulting from real disasters. The
performance of the proposed approach has been investigated and its success has
been shown with the mean squared error, peak signal to noise ratio, structural
similarity index and universal quality index metrics, in addition to the total
error and total error rate criteria.

Anahtar Kelimeler

Disaster, Change Detection, Wavelet Transformation, Gaussian Mixture Models

AFET YÖNETİMİNDE OPTİK GÖRÜNTÜLER İÇİN DALGACIK DÖNÜŞÜMÜ VE GAUSSIAN KARIŞIM MODELLERİ TABANLI YENİ BİR DEĞİŞİM SAPTAMA YAKLAŞIMI

Öz

   Orman yangını, taşkın gibi felaketler hem ülkemizin hem
de dünyanın en önemli problemleri arasındadır Afet sonrası alansal
rehabilitasyon işlemlerinin hızla yapılabilmesi için zarar gören alanların
hızlı ve yüksek doğrulukla belirlenebilmesi gerekmektedir.  Bu çalışmada, optik görüntüler için
tasarlanmış, yangın ve sel gibi afetler sonrasında hasar gören alanların tespit
edilmesine yönelik dalgacık dönüşümü ve Gaussian karışım modelleri temelli yeni
bir yaklaşım önerilmiştir. Sunulan yaklaşımın ilk aşamasında, afet öncesi ve
sonrasına ait görüntülerin standart ve logaritmik fark görüntüleri hesaplanır.
İkinci aşamada standart fark görüntüsüne medyan filtre, logaritmik fark
görüntüsüne wiener filtre uygulanır. Ardından bu görüntüler dalgacık dönüşümü
ile birleştirilir. Son aşamada ise birleştirilmiş görüntü Gaussian karışım
modelleri ile kümelenir ve böylelikle afet nedeniyle zarar gören alanlar tespit
edilmiş olur. Yaklaşımın etkinliği gerçek afetler neticesinde ortaya çıkan
Sardinia ve Mexico veri setleri kullanılarak irdelenmiştir. Önerilen yaklaşımın
performansı toplam hata ve toplam hata oranı kriterlerine ek olarak ortalama karesel hata tepe gürültü sinyal oranı, yapısal benzerlik indeksi ve evrensel kalite indeksi metrikleri ile incelenmiş ve
başarısı ortaya koyulmuştur.

Anahtar Kelimeler

Afet, Değişim Saptama, Dalgacık Dönüşümü, Gaussian Karışım Modelleri

Kaynakça

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