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Low-Rank Hypergraph Hashing for Large-Scale Remote Sensing Image Retrieval
2020
Remote Sensing
As remote sensing (RS) images increase dramatically, the demand for remote sensing image retrieval (RSIR) is growing, and has received more and more attention. The characteristics of RS images, e.g., large volume, diversity and high complexity, make RSIR more challenging in terms of speed and accuracy. To reduce the retrieval complexity of RSIR, a hashing technique has been widely used for RSIR, mapping high-dimensional data into a low-dimensional Hamming space while preserving the similarity
doi:10.3390/rs12071164
fatcat:bp7naq2h6natxo3nqlor6xzsjm