Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …

Remote sensing image scene classification with deep learning (DL) is a rapidly growing
field that has gained significant attention in the past few years. While previous review papers …

Cervical cancer is the seventh most common cancer among all the cancers worldwide and
the fourth most common cancer among women. Cervical cytopathology image classification …

In recent years, convolutional neural network (CNN)-based methods have been widely used
for remote sensing (RS) scene classification tasks and have achieved excellent results …

Joint use of multisensor information has attracted considerable attention in the remote
sensing community. While applications in land-cover observation benefit from information …

The existing deep networks have shown excellent performance in remote sensing scene
classification (RSSC), which generally requires a large amount of class-balanced training …

Recently, salient object detection in optical remote sensing images (RSI-SOD) has attracted
great attention. Benefiting from the success of deep learning and the inspiration of natural …

Scene classification is an indispensable part of remote sensing image interpretation, and
various convolutional neural network (CNN)-based methods have been explored to improve …

Scene classification is an active research topic in the remote sensing community, and
complex spatial layouts with various types of objects bring huge challenges to classification …

Existing remote sensing image salient object detection (RSI-SOD) methods widely perform
object-level semantic understanding with pixel-level supervision, but ignore the image-level …