Remote sensing image scene classification, which aims at labeling remote sensing images
with a set of semantic categories based on their contents, has broad applications in a range …

High-resolution remote sensing (HRRS) image scene classification has attracted an
enormous amount of attention due to its wide application in a range of tasks. Due to the …

Remote sensing image scene classification refers to assigning semantic labels according to
the content of the remote sensing scenes. Most machine learning-based scene classification …

With the development of convolutional neural networks (CNNs), the semantic understanding
of remote sensing (RS) scenes has been significantly improved based on their prominent …

In recent years, precision agriculture has been researched to increase crop production with
less inputs, as a promising means to meet the growing demand of agriculture products …

Class-wise adversarial adaptation networks are investigated for the classification of
hyperspectral remote sensing images in this article. By adversarial learning between the …

Salient Object Detection (SOD) plays an important role in many image-related multimedia
applications. Although there are many existing research works about the salient object …

Deep learning-based remote sensing image scene classification methods are the current
mainstream, and enough labeled samples are very important for their performance …

The number of Earth observation satellites carrying optical sensors with similar
characteristics is constantly growing. Despite their similarities and the potential synergies …

In this article, we aim to learn a unified representation of images from satellite/aerial/ground
views by exploring their underlying correlations. Inspired by recent advances in domain …