Results 51 to 60 of about 11,625,480 (191)
Environmental Stressors Influence Spatial Complexity in a Fluvial Macrophyte meadow
Remote Sensing in Ecology and Conservation, EarlyView.This research investigates the nonlinear relationships between environmental stressors and the fine‐scale spatial complexity of a fluvial macrophytes meadow. The use of multivariate spatial analysis allowed us to identify two major environmental gradients (nutrients and light) and two major complexity gradients (related to abundance and fragmentation).
Arthur de Grandpré +2 more
wiley +1 more source
Robust mosaicking of maize fields from aerial imagery
Applications in Plant Sciences, 2020 Premise Aerial imagery from small unmanned aerial vehicle systems is a promising approach for high‐throughput phenotyping and precision agriculture. A key requirement for both applications is to create a field‐scale mosaic of the aerial imagery sequence ...
Rumana Aktar +6 more
doaj +1 more source
Australian Dental Journal, EarlyView.ABSTRACT Background Managing oral mucosal lesions in general dental practice is challenging, as visually similar conditions may require very different treatments. We developed an AI‐based triage system connecting intraoral image analysis with guideline‐based treatment recommendations, tested it externally, and compared its performance with clinicians ...
Julia Schwärzler +9 more
wiley +1 more source
Multimodal image registration and mosaicking of artworks: an approach based on mutual information [PDF]
, 2023 We present an automated method for registration and mosaicking of multimodal technical images of artworks based on mutual information. We focus on the registration of element distribution maps resulting from macro X-ray fluorescence (MA-XRF) scanning ...
core +2 more sources
Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha +3 more
wiley +1 more source
Food and Energy Security, Volume 15, Issue 6, November/December 2026.ABSTRACT This study aimed to clarify the spatiotemporal differences in the growth responses of winter wheat (Triticum aestivum L.) to mining subsidence across different growth stages and hydrological conditions in high‐groundwater‐level Coal–Grain Composite Areas (CGCAs).
Duoduo Dong +5 more
wiley +1 more source
A validated 3D point‐cloud analysis workflow for the creation of seagrass canopy height models
Methods in Ecology and Evolution, Volume 17, Issue 11, Page 3136-3156, November 2026.Abstract Seagrasses support highly productive ecosystems in both temperate and tropical waters and provide essential ecosystem services. Despite their importance, the vertical structure of seagrasses (i.e. the canopy) remains poorly characterised at the microscale, even though it is a strong predictor of ecological processes that influence both ...
Daniele Ventura
wiley +1 more source
Remote Sensing, 2019 Unmanned aerial vehicles (UAVs) support a large array of technological applications and scientific studies due to their ability to collect high-resolution image data. The processing of UAV data requires the use of mosaicking technology, such as structure-
Yichen Yang, Xuhui Lee
doaj +1 more source
A Novel Mosaic Method for Spaceborne ScanSAR Images Based on Homography Matrix Compensation
Remote Sensing, 2021 Accurate and efficient image mosaicking is essential for generating wide-range swath images of spaceborne scanning synthetic aperture radar (ScanSAR). However, the existing methods cannot guarantee the accuracy and efficiency of stitching simultaneously,
Jianghao Tian +4 more
doaj +1 more source
Automatic Crater Classification Using a Deep‐Learning‐Based Pipeline
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.Abstract Identifying and classifying impact craters on Mars is crucial for understanding the planet's geological history and surface evolution. Traditional crater classification relies on manual annotation methods, which are often limited by human biases and the difficulty of interpreting geomorphological features.
L. Martinez +3 more
wiley +1 more source