Abstract: Hyperspectral change detection (HCD) with limited training samples has attracted increasing attention in recent years. The current research works require to train a dedicated model for each ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=9552934 ...

Abstract: Existing Transformer-based dehazing methods for remote sensing (RS) images, to avoid quadratic computation complexity with respect to the feature map size, either perform self-attention ...

Abstract: Hyperspectral image super-resolution (HSI SR) aims to combine the detailed spectral information of hyperspectral images with the spatial resolution of multispectral images, thus enhancing ...

Abstract: Risks and resulting propagating accidents pose considerable threats to the stability of project portfolio network (PPN). To maintain PPN stability, a PPN risk propagation model considering ...

Abstract: Division of focal plane color polarization camera becomes the mainstream in polarimetric imaging for it directly captures color polarization mosaic image by one snapshot, so image ...

Abstract: PointNet, the first deep learning framework for processing 3D point clouds, suffers from significant information loss during point cloud classification due to its Max pooling method, leading ...

Abstract: Fine-grained ship detection (FGSD) refers to identify and localize different ships in optical remote sensing images, which is utilized in both civilian and military areas widely.

Abstract: Fault diagnosis techniques for lithium-ion batteries are essential for enhancing the safety of electric vehicles (EVs). Existing fault diagnosis methods rely on each cell voltages, which ...

Abstract: This paper proposes a safety-critical control strategy for the attitude tracking issue of a rigid spacecraft subject to orientation and angular velocity constraints. To compensate for the ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=16 ...