Results 131 to 140 of about 133,899 (280)
Semantic segmentation via pixel‐to‐center similarity calculation
Since the fully convolutional network has achieved great success in semantic segmentation, lots of works have been proposed to extract discriminative pixel representations.
Dongyue Wu +5 more
doaj +1 more source
Control System for the Navigation of the Agricultural Robots: A Review
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía +3 more
wiley +1 more source
ABSTRACT Low‐tech process‐based stream restoration (LTPBR) is increasingly implemented following wildfire, underscoring the need to evaluate restoration outcomes in burned catchments. To help address this need, we measured abiotic and biotic characteristics of a reach that received LTPBR, an untreated reach, and a reach with relict beaver activity that
Kimberly A. Nichter +5 more
wiley +1 more source
Breaking down seagrass fragmentation in a marine heatwave impacted World Heritage Area
Habitat fragmentation can exacerbate the impacts of habitat loss but is rarely quantified in marine environments. Using satellite‐derived habitat maps, we identify widespread seagrass fragmentation following a marine heatwave that contributed to a dramatic shift in seascape structure in the Shark Bay World Heritage Area.
Michael D. Taylor +4 more
wiley +1 more source
Direct torque control with space vector modulation has been increasingly attracting emphasis for permanent‐magnet synchronous machine control, benefiting from a high dynamic response and low torque ripple.
Peihe Li +4 more
doaj +1 more source
Multispectral-NeRF: A Multispectral Modeling Approach Based on Neural Radiance Fields
3D reconstruction technology generates three-dimensional representations of real-world objects, scenes, or environments using sensor data such as 2D images, with extensive applications in robotics, autonomous vehicles, and virtual reality systems. Traditional 3D reconstruction techniques based on 2D images typically rely on RGB spectral information ...
Hong Zhang +3 more
openaire +2 more sources
UAVs unveil the role of small scale vegetation structure on wader nest survival
In this study, we combine high‐resolution vegetation structural metrics derived from unmanned aerial vehicle (UAV) imagery with on‐field wader nest survival monitoring. We show that the immediate vegetation height and heterogeneity within a 2‐meter buffer surrounding the clutch of the recorded ground‐nesting wader species positively influenced its ...
Miguel Silva‐Monteiro +5 more
wiley +1 more source
Classification of multispectral data
Summary: This paper deals with the classification of objects into a limited number of classes. Objects are characterised by \(n\)-features, e.g., \(n\)-dimensional vectors are used to describe them. The paper focuses on Bayes classifiers based on the probability principle, with a fixed number of features during the classification process.
Ocelikova, Eva, Krištof, Jan
openaire +3 more sources
The endangered tri‐spine horseshoe crab (Tachypleus tridentatus), a “living fossil” crucial to coastal ecology and biomedical research, is experiencing severe population declines. Effective conservation requires efficient monitoring, which traditional methods cannot deliver at scale. We develop an integrated UAV deep learning framework tailored to this
Xiaohai Chen +7 more
wiley +1 more source
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner +21 more
wiley +1 more source

