Characterized by tremendous spectral information, hyperspectral image is able to detect
subtle changes and discriminate various change classes for change detection. The recent …

A microstructure model based on fully thermo-mechanical coupling behavior of 3-D braided
composites has been proposed for characterizing multiple transverse impact damage. The …

High spectral resolution imagery of the Earth’s surface enables users to monitor changes
over time in fine- grained scale, playing an increasingly important role in agriculture, defense, …

The fast development of self-supervised learning (SSL) lowers the bar learning feature
representation from massive unlabeled data and has triggered a series of researches on change …

Benefiting from the developments in deep learning technology, deep-learning-based algorithms
employing automatic feature extraction have achieved remarkable performance on the …

Accurate hyperspectral image (HSI) interpretation is critical for providing valuable insights
into various earth observation-related applications such as urban planning, precision …

Three-dimensional braided composite materials have been widely applied to engineering
structure manufacturing. It is of a great importance to characterize the impact damage of the …

The rapid advancement of automated artificial intelligence algorithms and remote sensing
instruments has benefited change detection (CD) tasks. However, there is still a lot of space to …

As an attractive and flexible energy storage technology for converting surplus renewable
electricity into hydrogen energy, proton exchange membrane (PEM) water electrolysis will …

A high-precision feature extraction model is crucial for change detection (CD). In the past,
many deep learning-based supervised CD methods learned to recognize change feature …