At present, 3D reconstruction technology is being gradually applied to underwater scenes
and has become a hot research direction that is vital to human ocean exploration and …

In a three-dimensional (3D) disaster rescue mission environment, multi-drone mission
assignments and path planning are challenging. Aiming at this problem, a mission …

The mainstream convolutional neural network (CNN)-based remote sensing (RS) image
semantic segmentation approaches typically rely on massively labeled training data. Such a …

In professional use cases like police or fire brigade missions, coordinated and systematic
force management is crucial for achieving operational success during intervention by the …

Accurate terrain mapping information is very important for foot landing planning and motion
control in foot robots. Therefore, a terrain mapping method suitable for an indoor structured …

Existing image processing methods usually divide image denoising and image fusion into
two directions for research, and even the best current image denoising methods such as …

Multi-view segmentation in Remote Sensing (RS) seeks to segment images from diverse
perspectives within a scene. Recent methods leverage 3D information extracted from an …

Heterogeneous high-resolution remote sensing image matching will be disturbed by the
differences in sensor type, imaging angle, height, and imaging time, and the matching …

Generalized stereo matching faces the radiation difference and small ground feature
difference brought by different satellites and different time phases, while the texture-less and …