Results 111 to 120 of about 2,531 (229)

Integrated GNSS Attitude Determination and Positioning for Direct Geo-Referencing

Sensors, 2014
Direct geo-referencing is an efficient methodology for the fast acquisition of 3D spatial data. It requires the fusion of spatial data acquisition sensors with navigation sensors, such as Global Navigation Satellite System (GNSS) receivers.
Nandakumaran Nadarajah, Jens-André Paffenholz, Peter J. G. Teunissen   +2 more
doaj   +1 more source

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, Phillip D. Alderman, Grishma Ojha, Brett F. Carver   +3 more
wiley   +1 more source

UAV‐based RGB and multispectral vegetation indices as alternatives to light box‐derived dark green color index for turfgrass color assessment

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Traditionally, turfgrass color has been assessed through visual ratings or light box‐based digital image analysis, methods that are either subjective or labor‐intensive. In this study, we evaluated the potential of unmanned aerial vehicle (UAV)‐based multispectral and red‐green‐blue (RGB) imagery as a high‐throughput alternative for capturing ...
Ved Parkash, Phillip L. Vines, Sameer Khanal, Jing Zhang, Joann Conner, Susana R. Milla‐Lewis, Nino Brown, David Jespersen, Jodi Johnson‐Maynard, Brian M. Schwartz   +9 more
wiley   +1 more source

On the use of direct georeferencing in airborne photogrammetry [PDF]

, 2001
With the availability of high-end integrated GPS/inertial systems the direct georeferencing of airborne imaging sensors becomes feasible even for highest accuracy demands.
Michael Cramer
core  

Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Improving selection for multiple disease resistance (MDR) and yield in maize (Zea mays L.) requires high‐throughput, objective phenotyping tools, particularly under field conditions where several foliar diseases co‐occur. We evaluated drone‐based multispectral vegetation indices (VIs) for predicting resistance to northern leaf blight (NLB ...
Danilo E. Moreta, Nina Blahut, Nicholas Kaczmar, Judith M. Kolkman, Gary Bergstrom, Margaret Smith, Michael A. Gore, Rebecca Nelson   +7 more
wiley   +1 more source

Optimizing high-resolution multi-view drone imaging for detecting foreign grains in gluten-free oat production fields [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
To reduce the high cost of manually detecting and removing gluten-containing grains from oat crops, drone imaging and deep learning can be used to automate the detection process.
R. Näsi, R. A. Oliveira, S. Rua, E. Khormashahi, A. Päivänsalo, O. Niemeläinen, E. Honkavaara, M. Niskanen   +7 more
doaj   +1 more source

Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan, Valerio Hoyos‐Villegas   +1 more
wiley   +1 more source

Direct georeferencing and orthorectification of airborne digital images

, 2020
GPS/INS (Global Positioning System / Inertial Navigation System) bringspossibility of relaxing the demand for aerial triangulation in stereo modelconstruction and rectification. In this thesis a differential rectification algorithm isprogrammed with Matlab software for aerial frame camera images.
openaire   +1 more source

UAV‐based deep transfer learning to improve grain yield prediction in winter wheat across temporal and spatial variability

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accurate prediction of grain yield (GY) remains a major challenge in plant breeding due to complex interactions between genotype, environment, and management (G × E × M) factors. Remote sensing data from unmanned aerial vehicles (UAVs) equipped with multispectral sensors have emerged as a pivotal resource for high‐throughput phenotyping.
Swas Kaushal, Mohammad Maruf Billah, Mandeep Singh, Dante Koupal, Pradeep Raj Sitaula, Jyotirmoy Halder, Jagdeep Sidhu, Maitiniyazi Maimaitijiang, Sunish K. Sehgal   +8 more
wiley   +1 more source

FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud Maps

Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems
Current software stacks for real-world applications of autonomous driving leverage map information to ensure reliable localization, path planning, and motion prediction. An important field of research is the generation of point cloud maps, referring to the topic of simultaneous localization and mapping (SLAM). As most recent developments do not include
Maximilian Leitenstern, Marko Alten, Christian Bolea-Schaser, Dominik Kulmer, Marcel Weinmann, Markus Lienkamp   +5 more
openaire   +2 more sources