Remote sensing (RS) image classification plays an important role in the earth observation
technology using RS data, having been widely exploited in both military and civil fields …

Remote sensing is mainly used to investigate sites of dams, bridges, and pipelines to locate
construction materials and provide detailed geographic information. In remote sensing …

In recent years, the combination of deep learning and remote sensing has been a boiling
state. However, because of the difference between remote sensing images and natural …

Deep-learning (DL) algorithms, which learn the representative and discriminative features in
a hierarchical manner from the data, have recently become a hotspot in the machine …

Deep learning has become one of the most important breakthroughs in artificial intelligence
over the past decade. Deep learning contains a variety of methods, including neural …

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 …

With the development of earth observation technologies, the acquired remote sensing
images are increasing dramatically, and a new era of big data in remote sensing is coming …

Developments in remote sensing technology have led to a continuous increase in the
volume of remote-sensing data, which can be qualified as big remote sensing data. A wide …

Analyzing land use and land cover (LULC) using remote sensing (RS) imagery is essential
for many environmental and social applications. The increase in availability of RS data has …

Scene classification relying on images is essential in many systems and applications related
to remote sensing. The scientific interest in scene classification from remotely collected …