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 …

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 …

Optimising the approximation of Average Precision (AP) has been widely studied for image
retrieval. Limited by the definition of AP, such methods consider both negative and positive …

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 …

Many image features have been proposed for image retrieval; hence, effectively fusing these
features to alleviate the large variation in performance among image queries when using …

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 …

With the rapid development of internet technology in recent years, the available remote
sensing image data have also been growing rapidly, which has led to an increased demand …

We propose an efficient algorithm that directly optimizes a ranking performance measure,
with a focus on class average precision (AP). Instead of using pair-wise ranking …

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 …