Image retrieval from remote sensing big data: A survey
The blooming proliferation of aeronautics and astronautics platforms, together with the ever-
increasing remote sensing imaging sensors on these platforms, has led to the formation of …
increasing remote sensing imaging sensors on these platforms, has led to the formation of …
Exploiting deep features for remote sensing image retrieval: A systematic investigation
Remote sensing (RS) image retrieval is of great significant for geological information mining.
Over the past two decades, a large amount of research on this task has been carried out …
Over the past two decades, a large amount of research on this task has been carried out …
Exploring a fine-grained multiscale method for cross-modal remote sensing image retrieval
Remote sensing (RS) cross-modal text-image retrieval has attracted extensive attention for
its advantages of flexible input and efficient query. However, traditional methods ignore the …
its advantages of flexible input and efficient query. However, traditional methods ignore the …
Large-scale remote sensing image retrieval by deep hashing neural networks
As one of the most challenging tasks of remote sensing big data mining, large-scale remote
sensing image retrieval has attracted increasing attention from researchers. Existing large …
sensing image retrieval has attracted increasing attention from researchers. Existing large …
Geographic image retrieval using local invariant features
This paper investigates local invariant features for geographic (overhead) image retrieval.
Local features are particularly well suited for the newer generations of aerial and satellite …
Local features are particularly well suited for the newer generations of aerial and satellite …
Deep hash learning for remote sensing image retrieval
The content-based remote sensing image retrieval (CBRSIR) has attracted increasing
attention with the number of remote sensing (RS) images growing explosively. Benefiting …
attention with the number of remote sensing (RS) images growing explosively. Benefiting …
Learning source-invariant deep hashing convolutional neural networks for cross-source remote sensing image retrieval
Due to the urgent demand for remote sensing big data analysis, large-scale remote sensing
image retrieval (LSRSIR) attracts increasing attention from researchers. Generally, LSRSIR …
image retrieval (LSRSIR) attracts increasing attention from researchers. Generally, LSRSIR …
A review of EO image information mining
M Quartulli, IG Olaizola - ISPRS journal of Photogrammetry and Remote …, 2013 - Elsevier
We analyze the state of the art of content-based retrieval in Earth observation image
archives focusing on complete systems showing promise for operational implementation …
archives focusing on complete systems showing promise for operational implementation …
Deep cross-modal image–voice retrieval in remote sensing
With the rapid progress of satellite and aircraft technologies, cross-modal remote sensing
image-voice retrieval has been studied in geography recently. However, there still exist …
image-voice retrieval has been studied in geography recently. However, there still exist …
Hashing-based scalable remote sensing image search and retrieval in large archives
B Demir, L Bruzzone - IEEE transactions on geoscience and …, 2015 - ieeexplore.ieee.org
Large-scale remote sensing (RS) image search and retrieval have recently attracted great
attention, due to the rapid evolution of satellite systems, that results in a sharp growing of …
attention, due to the rapid evolution of satellite systems, that results in a sharp growing of …