In deep learning research, self-supervised learning (SSL) has received great attention,
triggering interest within both the computer vision and remote sensing communities. While …

Martian rock segmentation aims to separate rock pixels from background, which plays a
crucial role in downstream tasks, such as traversing and geologic analysis by Mars rovers …

Radio frequency fingerprints are commonly exploited as a unique signature in the physical
layer for distinguishing transmitters in transmitter identification systems (TISs). In response to …

The semantic segmentation of light detection and ranging (LiDAR) point clouds plays an
important role in 3-D scene intelligent perception and semantic modeling. The unstructured …

Multimodal change detection (MCD) harnesses multi-source remote sensing data to identify
surface changes, thereby presenting prospects for applications within disaster management …

Accurate lithology recognition is pivotal for comprehending subsurface structures and
forecasting resource reservoirs in geological exploration. Most existing approaches rarely …

Detecting Mars rocks on celestial bodies is crucial for the obstacle avoidance and path
planning of space probes in deep space environments. However, the irregular shapes …

With state-of-the-art imaging and analytical tools onboard the NASA Perseverance Rover
Mission, geological information for remote astrobiological analysis is readily available and …

Memristor and its crossbar structure have been widely studied and proven to be naturally
suitable for implementing vector-matrix multiplier (VMM) operation in neural networks …

Intelligent ore sorting stands as a pivotal technology in contemporary mining and production.
To establish a more efficient general framework for mineral image recognition, this paper …