Remote sensing image retrieval (RSIR) is a fundamental task in remote sensing. Most
content-based RSIR approaches take a simple distance as similarity criteria. A retrieval …

Remote sensing image retrieval (RSIR) aims to search and retrieve the images of interest
from a large remote sensing image archive, which has remained to be a hot topic over the …

With the rapid growth of remote sensing image data, it has become necessary to effectively
and efficiently retrieve images from a big image database for managing and exploiting such …

In recent years, the amount of remote sensing imagery data has increased exponentially.
The ability to quickly and effectively find the required images from massive remote sensing …

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 …

Due to the specific characteristics and complicated contents of remote sensing (RS) images,
remote sensing image retrieval (RSIR) is always an open and tough research topic in the RS …

Benchmark datasets are critical for developing, evaluating, and comparing remote sensing
image retrieval (RSIR) approaches. However, current benchmark datasets are deficient in …

With the explosive growth of remote sensing big data, large-scale remote sensing image
retrieval (RSIR) has become one of the most challenging tasks in data mining, attracting …

With the rapid growing of remotely sensed imagery data, there is a high demand for effective
and efficient image retrieval tools to manage and exploit such data. In this letter, we present …

Remote sensing image retrieval (RSIR) is the process of searching for identical areas by
investigating the similarities between a query image and the database images. RSIR is a …