VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • GPU-based kernelized locality-sensitive hashing for satellite image retrieval [Elektronski vir]
    Lukač, Niko ...
    As the data acquisition capabilities of Earth observation (EO) satellites have been improved substantially in the past few years, large amount of high-resolution satellite images are downlinked ... continuously to ground stations. Such amount of data increases rapidly beyond the users' capability to access the images' content in reasonable time. Hence, automatic and fast interpretation of a large data volume is a computationally intensive task. Recently, approximate nearest neighbour search has been used for content-based image retrieval in sub-linear time. Kernelized locality sensitive hashing (KLSH) is a well-known approximate method, which has recently shown promising results for fast remote sensing image retrieval. This paper proposes a novel parallelization of KLSH using Graphical Processing Units (GPU), in order to perform fast parallel image retrieval. The proposed method was tested on high-dimensional feature vectors from two satellite-based image datasets, where an average speedup of 20 times was achieved.
    Vir: 2015 IEEE international goescience & remote sensing symposium [Elektronski vir] (Str. 1468-1471)
    Vrsta gradiva - prispevek na konferenci
    Leto - 2015
    Jezik - angleški
    COBISS.SI-ID - 19151638
    DOI

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