Yazar "Yildiz C." seçeneğine göre listele

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    Öğe
    Detection of stationary aircrafts from satelitte images
    (2011) Yildiz C.; Polat E.
    It is one of the common problems to identify objects in satellite images of earth using computer vision and image processing techniques. It is especially important to determine the coordinates of civil and military aircrafts in an airport or anyplace is crucial for military intelligence. In this paper we achieved to identify the aircrafts from airport images taken from a specific altitude using computer vision techniques. For this purpose the images have been searched that previously identified by SVM classifier derived from Google Earth® the aircraft images. Gabor filter is used to refine the features of aircraft and extract the feature vector. SVM has been applied on data that feature extraction made before and determination of aircraft image has been confirmed.
  • Küçük Resim
    Öğe
    Stationary aircraft detection from satellite images
    (Istanbul University, 2012) Polat E.; Yildiz C.
    Satellite image analysis is an important research area in the field of image processing. Detection and recognition of regions and objects from satellite images find many useful civil applications such as detection of buildings, roads, bridges and other man-made objects as well as land plant classification. On the other hand, the detection of stationary aircrafts in airports can be strategically important in military applications. In this study, a learning-based system that detects stationary aircrafts in satellite images obtained from Google Earth is developed. The features that emphasize the geometric structure of an aircraft are determined using 2D Gabor filter. The aircraft detection is performed using Support Vector Machines (SVM) classification method. The SVM is a supervised learning method that analyzes data and recognizes patterns for classification The SVM takes a set of input data (a vector consists of Gabor filter output of images) and predicts the one of two classes (aircraft or non-aircraft). The performance of the system is demonstrated using satellite images collected from airports in Europe and United States.