Given the large volume of remote sensing images collected daily, automatic object detection and segmentation have been a consistent need in Earth observation (EO). However, objects …
Panoptic segmentation is a recent and powerful task that tackles individual object recognition (“things”) and multiple backgrounds (“stuff”) simultaneously. Remote sensing …
Vehicle detection in remote sensing images is a crucial aspect of intelligent transportation systems. It plays an essential role in road planning, congestion control, and road …
Wind energy is one of Brazil's most promising energy sources, and the rapid growth of wind plants has increased the need for accurate and efficient inspection methods. The current …
The recognition of terrain and outdoor complex environments based on vision sensors is a key technology in practical robotics applications, and forms the basis of autonomous …
Dense panoptic prediction is a key ingredient in many existing applications such as autonomous driving, automated warehouses, or remote sensing. Many of these applications …
Z Wang, Z Wang, P Cheng, L Zhao… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Remote sensing lightweight foundation models have successfully achieved online perception, providing real-time intelligent interpretation. However, their capabilities are …
C Zhao, Y Shen, N Su, Y Yan, S Feng… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Rapid and reliable gully erosion (GE) extraction from high-resolution remote sensing (HRRS) images is crucial for the development of land protection measures. For this task …
TN Doan, DN Le-Thi - Journal of Advances in Information Technology, 2025 - jait.us
Flooding, a common natural disaster, causes widespread damage globally. Detecting flood extents rapidly and accurately using Synthetic Aperture Radar (SAR) images is crucial for …