Now showing items 1-3 of 3

    • Anomaly based target detection in hyperspectral images via graph cuts 

      Bati, E.; Erdinc, A.; Cesmeci, D.; Caliskan, A.; Koz, A.; Aksoy, S.; Erturk, S.; Alatan, A.A. (Institute of Electrical and Electronics Engineers Inc., 2015)
      The studies on hyperspectral target detection until now, has been treated in two approaches. Anomaly detection can be considered as the first approach, which analyses the hyperspectral image with respect to the difference ...
    • Object detection using optical and LiDAR data fusion 

      Tasar, O.; Aksoy, S. (Institute of Electrical and Electronics Engineers Inc., 2016)
      Fusion of aerial optical and LiDAR data has been a popular problem in remote sensing as they carry complementary information for object detection. We describe a stratified method that involves separately thresholding the ...
    • Object detection using optical and lidar data fusion with graph-cuts 

      Taşar, Onur (Bilkent University, 2017-03)
      Object detection in remotely sensed data has been a popular problem and is commonly used in a wide range of applications in domains such as agriculture, navigation, environmental management, urban monitoring and mapping. ...