Slice-to-slice context transfer and uncertain region calibration network for shadow detection in remote sensing imagery
Although current methods based on deep learning (DL) have been widely employed in
shadow detection tasks, the cluttered background and complex shadow features in remote …
shadow detection tasks, the cluttered background and complex shadow features in remote …
SUShe: simple unsupervised shadow removal
Shadow removal is an important problem in computer vision, since the presence of shadows
complicates core computer vision tasks, including image segmentation and object …
complicates core computer vision tasks, including image segmentation and object …
CDANet: Contextual detail-aware network for high-spatial-resolution remote-sensing imagery shadow detection
Q Zhu, Y Yang, X Sun, M Guo - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Shadow detection automatically marks shadow pixels in high-spatial-resolution (HSR)
imagery with specific categories based on meaningful colorific features. Accurate shadow …
imagery with specific categories based on meaningful colorific features. Accurate shadow …
[图书][B] Applications of Nature-Inspired Computing and Optimization Techniques
Advances in Computers, Volume 135 highlights advances in the field, with this new volume,
Applications of Nature-inspired Computing and Optimization Techniques presenting …
Applications of Nature-inspired Computing and Optimization Techniques presenting …
Target Detection and Real-Time Following for Unmanned Aerial Vehicle.
LIU Rongqi, W Hongyu… - Journal of Computer …, 2024 - search.ebscohost.com
With the increasing application of drones in various fields, the demand for drone regulation
is also gradually increasing. At the same time, due to the limited computing power and …
is also gradually increasing. At the same time, due to the limited computing power and …
[引用][C] Optimización del balanceo de líneas de ensamble (Salbp-1) mediante un algoritmo bio-inspirado
MG Martínez Gámez - 2022