T Xiong, F Liu, H Liu, J Ge, H Li, K Ding, Q Li - Drones, 2023 - mdpi.com
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 …
S Kaiser, M Linkiewicz, H Meißner, D Baumbach - Sensors, 2023 - mdpi.com
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 …
H Zhou, P Ping, Q Shi, H Chen - Sensors, 2023 - mdpi.com
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 …
P Hu, S Tang, Y Zhang, X Song, M Sun - IEEE Access, 2023 - ieeexplore.ieee.org
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 …
Z Qi, C Liu, Z Liu, H Chen, Y Wu, Z Zou, Z Sh - arXiv preprint arXiv …, 2024 - arxiv.org
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 …
Y Zheng, S Yang, Y Li, J Wu, Z Shi… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
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 …
S Yang, H Chen, W Chen - Remote Sensing, 2023 - mdpi.com
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 …