Dec 27, 2019 · It quantizes remote sensing images into fixed-length binary codes, which are referred to as hash codes. In hash-code-based retrieval operations, ...
A cohesion intensive deep hashing model for remote sensing image retrieval that is terminated by a Heaviside-like function for binarizing remote sensing ...
Feb 28, 2020 · In order to improve hashing performance, we develop a cohesion intensive deep hashing model for remote sensing image retrieval. The underlying ...
Feb 2, 2023 · By means of the aforementioned developments, our CCGH achieves state-of-the-art accuracy in the task of remote sensing image retrieval.
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In order to improve hashing performance, we develop a cohesion intensive deep hashing model for remote sensing image retrieval. The underlying architecture of ...
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What is hashing image retrieval?
In order to improve hashing performance, we develop a cohesion intensive deep hashing model for remote sensing image retrieval. The underlying architecture of ...
May 15, 2024 · We use the two co-constructed hash code books for training two linear mapping models which generate hash codes for sketches and remote sensing ...
Hashing has been widely used for large-scale remote sensing image retrieval due to its outstanding advantages in storage and search speed. Recently, deep ...
This paper proposes a flexible multiple-feature hashing learning framework for LSRSIR, which takes multiple complementary features as the input and learns ...
Mar 5, 2022 · Unsupervised hashing is an important approach for large-scale content-based remote sensing (RS) image retrieval.