As an useful solution of the approximate nearest neighbor (ANN) search, hashing attracts
growing attention in the topic of large-scale image retrieval. In this paper, we propose a semi …

Hashing methods have recently been shown to be very effective in the retrieval of remote
sensing (RS) images due to their computational efficiency and fast search speed. Common …

With the explosive increase of remote sensing data, how to search for remote sensing data
quickly and accurately in a vast dataset is an incredibly critical matter for research subjects …

Hashing method is widely used in multimedia retrieval systems because of its outstanding
retrieval efficiency and low storage cost. Most existing unsupervised hashing methods learn …

Driven by the urgent demand for managing remote sensing big data, large-scale remote
sensing image retrieval (RSIR) attracts increasing attention in the remote sensing field. In …

Hashing algorithm has been widely used to speed up image retrieval due to its compact
binary code and fast distance calculation. The combination with deep learning boosts the …

Hashing technology has been widely used in image retrieval due to its computational and
storage efficiency. Recently, deep unsupervised hashing methods have attracted increasing …

Due to the rapid evolution of satellite systems, traditional nearest neighbor image retrieval
methods used in large-scale image retrieval usually cause “curse of dimensionality” that …

Fast and accurate remote sensing image retrieval from large data archives has been an
important research topic in the remote sensing research literature. Recently, hashing-based …

Image retrieval has become more and more important because of the explosive growth of
images on the Internet. Traditional image retrieval methods have limited image retrieval …