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 …

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 …

Remote sensing image retrieval (RSIR) is the process of searching and acquiring similar
images to a query image in a large-scale remote sensing image database. Several recent …

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

ABSTRACT A considerable volume of high-resolution remote sensing (HRRS) data is
generated with the intense space explorations happening globally. Remote sensing image …

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 …

In existing remote sensing image retrieval (RSIR) datasets, the number of images among
different classes varies dramatically, which leads to a severe class imbalance problem …

Remote sensing image retrieval (RSIR) has broad application prospects, but related
challenges still exist. One of the most important challenges is how to obtain discriminative …

With the rapid development of remote sensing sensor technology, the number of remote
sensing images (RSIs) has exploded. How to effectively retrieve and manage this massive …

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 …