Now showing items 1-4 of 4

    • Automatic detection of compound structures by joint selection of region groups from multiple hierarchical segmentations 

      Akçay, Hüseyin Gökhan (Bilkent University, 2016-09)
      A challenging problem in remote sensing image interpretation is the detection of heterogeneous compound structures such as different types of residential, industrial, and agricultural areas that are comprised of spatial ...
    • Bilkent university at TRECVID 2006 

      Aksoy, Selim; Duygulu, Pınar; Akçay, Hüseyin Gökhan; Ataer, Esra; Baştan, Muhammet; Can, Tolga; Çavuş, Özge; Doǧgrusöz, Emel; Gökalp, Demir; Akaydın, Ateş; Akoǧlu, Leman; Angın, Pelin; Cinbiş, R. Gökberk; Gür, Tunay; Ünlü, Mehmet (National Institute of Standards and Technology, 2006-11)
      We describe our third participation, that includes one high-level feature extraction run, and two manual and one interactive search runs, to the TRECVID video retrieval evaluation. All of these runs have used a system ...
    • Detection of compound structures using multiple hierarchical segmentations 

      Akçay, Hüseyin Gökhan; Aksoy, Selim (IEEE, 2014)
      In this paper, we present a method for automatic compound structure detection in high-resolution images. Given a query compound structure, our aim is to detect coherent regions with similar spatial arrangement and ...
    • Hierarchical segmentation, object detection and classification in remotely sensed images 

      Akçay, Hüseyin Gökhan (Bilkent University, 2007)
      Automatic content extraction and classification of remotely sensed images have become highly desired goals by the advances in satellite technology and computing power. The usual choice for the level of processing image ...