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 …

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 …

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 …

Recently, deep metric learning (DML) has received widespread attention in the field of
remote sensing image retrieval (RSIR), owing to its ability to extract discriminative features to …

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 …

In remote sensing image retrieval task, deep metric learning loss is an effective method for
learning semantic similarity relationships between images. However, most deep metric …

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 images are featured by massiveness, diversity and complexity. These
features put forward higher requirements for the speed and accuracy of remote sensing …

Convolutional neural networks (CNNs) are frequently utilized in content-based remote
sensing image retrieval (CBRSIR). However, the features extracted by CNNs are not …

Deep metric learning (DML) has shown to be effective for content-based image retrieval
(CBIR) in remote sensing (RS). Most of the DML methods for CBIR rely on a high number of …