Remote sensing image scene classification plays an important role in a wide range of
applications and hence has been receiving remarkable attention. During the past years …

With the development of Internet technology and the popularity of digital devices, Content-
Based Image Retrieval (CBIR) has been quickly developed and applied in various fields …

Scene classification is a highly useful task in Remote Sensing (RS) applications. Many
efforts have been made to improve the accuracy of RS scene classification. Scene …

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

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 …

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 …

As a fundamental and important task in remote sensing, remote sensing image scene
understanding (RSISU) has attracted tremendous research interest in recent years. RSISU …

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 …

Learning powerful feature representations for image retrieval has always been a
challenging task in the field of remote sensing. Traditional methods focus on extracting low …

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 …