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 …

The recent emergence of deep learning for characterizing complex patterns in remote
sensing imagery reveals its high potential to address some classic challenges in this …

Classifying remote sensing images is vital for interpreting image content. Presently, remote
sensing image scene classification methods using convolutional neural networks have …

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 …

Scene classification from remote sensing images provides new possibilities for potential
application of high spatial resolution imagery. How to efficiently implement scene …

Deep learning methods have boosted the performance of a series of visual tasks. However,
the aerial image scene classification remains challenging. The object distribution and spatial …

Remote sensing image scene classification is a fundamental problem, which aims to label
an image with a specific semantic category automatically. Recently, deep learning methods …

Remote sensing image scene classification plays an important role in remote sensing image
interpretation. Deep learning brings prosperity to the research in this field, and numerous …

With rapid development of satellite and airplane platforms, aerial image has become more
and more accessible. Aerial image scene classification plays an important role in many …

Scene classification of high resolution remote sensing images plays an important role for a
wide range of applications. While significant efforts have been made in developing various …