Over the last decade, neural networks have reached almost every field of science and
become a crucial part of various real world applications. Due to the increasing spread …

With many platforms and sensors continuously observing the earth surface, the large
amount of remote sensing data presents a big data challenge. While remote sensing data …

Artificial intelligence (AI) is paving the way for a new era of algorithms focusing directly on
the information contained in the data, autonomously extracting relevant features for a given …

Semantic labelling of remote sensing images, technically termed as remote sensing scene
classification, plays significant role in understanding huge volume of complex remote …

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