Data augmentation (DA) is indispensable in modern machine learning and deep neural
networks. The basic idea of DA is to construct new training data to improve the model's …

A novel approach of data augmentation based on irregular superpixel decomposition is
proposed. This approach called SuperpixelGridMasks permits to extend original image …

Higher resolution building mapping from lower resolution remote sensing images is in great
demand due to the lack of higher resolution data access, especially in the context of disaster …

As Deep Neural Networks have achieved thrilling breakthroughs in the past decade, data
augmentations have garnered increasing attention as regularization techniques when …

The quality of optical remote sensing images is largely affected by clouds and haze. In
addition, the mosaicking image of multiple remote sensing images, due to objective factors …

Satellite remote sensing presents a cost-effective solution for synoptic flood monitoring, and
satellite-derived flood maps provide a computationally efficient alternative to numerical flood …

Choosing the proper ground sampling distance (GSD) is a vital decision in remote sensing,
which can determine the success or failure of a project. Higher resolutions may be more …

A novel approach of data augmentation based on irregular superpixel decomposition is
proposed. This approach called SuperpixelGridMasks permits to extend original image …

We propose a new tiling strategy, Flip-n-Slide, which has been developed for specific use
with large Earth observation satellite images when the location of objects-of-interest (OoI) is …

The principles and development of the boundary integral equation (BIE) method for solving
engineering problems are reviewed, with particular emphasis on applications in three …