Calculating potential error in sodium MRI with respect to the analysis of small objects
Sign Up to like & getrecommendations! Published in 2018 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.26962
Abstract: To facilitate correct interpretation of sodium MRI measurements, calculation of error with respect to rapid signal decay is introduced and combined with that of spatially correlated noise to assess volume‐of‐interest (VOI) 23Na signal measurement inaccuracies,… read more here.
Keywords: error; small objects; sodium mri; respect ... See more keywords
Multirotor-assisted measurements of wind-induced drift of irregularly shaped objects in aquatic environments
Sign Up to like & getrecommendations! Published in 2021 at "Applied Ocean Research"
DOI: 10.1016/j.apor.2021.102538
Abstract: Abstract Ocean hazardous spills and search and rescue incidents are becoming more prevalent as maritime activities increase across all sectors of society. However, emergency response time remains a factor due to the lack of information… read more here.
Keywords: multirotor; small objects; water; surface ... See more keywords
Inducing and controlling rotation on small objects using photonic topological materials
Sign Up to like & getrecommendations! Published in 2018 at "Physical Review B"
DOI: 10.1103/physrevb.98.144101
Abstract: Photonic topological insulator plates violate Lorentz reciprocity, which leads to a directionality of surfaceguided modes. This in-plane directionality can be imprinted via an applied magnetic field. On the basis of macroscopic quantum electrodynamics in nonreciprocal… read more here.
Keywords: rotation small; photonic topological; small objects; magnetic field ... See more keywords
Capturing Small Objects and Edges Information for Cross-Sensor and Cross-Region Land Cover Semantic Segmentation in Arid Areas
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3232409
Abstract: In the oasis area adjacent to the desert, there is more complex land cover information with rich details, multiscales of interest objects, and blur edge information, which poses some challenges to the semantic segmentation task… read more here.
Keywords: information; semantic segmentation; cross; small objects ... See more keywords
OLCN: An Optimized Low Coupling Network for Small Objects Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3122190
Abstract: In remotely sensed images, it is quite common to run into small objects, such as cars and small storage tanks. However, these small objects are quite easy to get ignored because of the positioning difficulty.… read more here.
Keywords: objects detection; coupling network; low coupling; detection ... See more keywords
Find Small Objects in UAV Images by Feature Mining and Attention
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3220661
Abstract: With the increasing popularity of unmanned aerial vehicles (UAVs), the accuracy of detecting small objects in large-view images is also expected to increase. However, accurate small object detection is still a challenging problem. Currently, image… read more here.
Keywords: objects uav; images feature; uav images; find small ... See more keywords
Remote Sensing Object Detection Based on Strong Feature Extraction and Prescreening Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3236777
Abstract: Remote sensing object detection has been an important and challenging research hot spot in computer vision that is widely used in military and civilian fields. Recently, the combined detection model of convolutional neural network (CNN)… read more here.
Keywords: remote sensing; sensing object; detection; object detection ... See more keywords
Detecting Small Objects in Urban Settings Using SlimNet Model
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2921111
Abstract: The automatic extraction of small objects such as roadside milestones, small traffic signs, and other urban furniture remains a technical challenge. This study focuses on methods of deep learning to detect small urban elements in… read more here.
Keywords: slimnet model; small objects; detection; data set ... See more keywords
Class-Incremental Learning Network for Small Objects Enhancing of Semantic Segmentation in Aerial Imagery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3124303
Abstract: Due to the differences in the feature distribution between classes, when the model learns in a continuous data stream, it will encounter catastrophic forgetting. The incremental learning methods have shown great potential to solve this… read more here.
Keywords: network small; incremental learning; segmentation; small objects ... See more keywords
HDA-Net: Hybrid Convolutional Neural Networks for Small Objects Recognization at Airports
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3219500
Abstract: Identifying small objects is essential in airport clearances, such as unmanned aerial vehicles (UAVs) and bird flocks, affecting the safety of the entire airport. Due to small objects and complex backgrounds, it is a formidable… read more here.
Keywords: neural networks; structure; hybrid convolutional; small object ... See more keywords
Practical detection and tracking of flying small objects in infrared images
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.14.016514
Abstract: Abstract. To overcome the difficulties in tracking flying targets in the sky under different conditions, a combined scheme is proposed to get a long-term tracklet: (1) point object is efficiently detected via a fast hypothesis… read more here.
Keywords: small objects; tracking flying; detection tracking; flying small ... See more keywords