Generating pixel-level annotations for semantic segmentation tasks of high-resolution
remote sensing images is both time-consuming and labor-intensive, which has led to …

In this research, five systems were developed to classify four distinct motor functions—
forward hand movement (FW), grasp (GP), release (RL), and reverse hand movement (RV) …

Auto-semantic segmentation is important for robots on unstructured and dynamic
environments like planets where ambient conditions cannot be controlled and the scale is …

The deployment of the robotic system that executes specific task is being challenged by the
prevalence of dynamic objects in real‐world scenes. Two robotic tasks sparked by this …

The complexity of image scene information presents challenges for the trafficability
assessment and path planning of Mars rovers. To ensure the operational safety of Mars …

The characterization and analysis of rock types based on acoustic emission (AE) signals
have long been focal points in earth science research. However, traditional analysis …

The extraction of coastlines from remote sensing images is vital for promoting sustainable
development in coastal areas, conserving marine environments, strengthening disaster …

Semantic segmentation of remote sensing imagery requires extensive annotated samples
for training, facing challenges in adapting to novel classes with few annotations. Few-shot …

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 …

In future multiagent Mars detection schemes, the Mars helicopter can assist the scientific
missions of Mars rovers by providing navigation information and scientific objects. However …