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2761
A novel method for soil organic carbon prediction using integrated ‘ground-air-space’ multimodal remote sensing data
Published 2025-08-01“…To address this challenge, we propose an innovative multimodal remote sensing data integration framework, ResoCroS-Net, which integrates ground (soil samples), air (unmanned aerial vehicle (UAV) images), and space (satellite images) data, realized effective integration of multimodal data at different resolutions, with particular innovations in hierarchical design and data-processing logic. …”
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2762
Crack Detection and Evolution Law for Rock Mass under SHPB Impact Tests
Published 2019-01-01“…A high-frame camera with 50,000 FPS was used to capture the damage process of the rock mass; using the manual annotation method, we got a dataset of SHPB damage images including a total of 310 original images and 310 corresponding cracked annotations. …”
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2763
Artificial intelligence based surgical support for experimental laparoscopic Nissen fundoplication
Published 2025-05-01“…A total of 57 video sequences were processed, extracting 3,138 images at 0.5-second intervals. …”
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2764
Using Extension Theory to Design a Low-Cost and High-Accurate Personal Recognition System
Published 2013-03-01“…First, this paper uses a low-cost webcam to capture the image of palmprints, here the length, slop, and distance of principal line of palmprints can be captured by the image process method. …”
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2765
Frame Segmentation in Ultrahigh-Speed Spectrum Analyzer Based on Time-Lens
Published 2024-01-01“…In this paper, a frame segmentation algorithm based on time-domain waveform analysis is proposed to achieve the automatic data processing of these analyzers, which can directly generate the spectro-temporal image of the signal under test. …”
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2766
Surface Defect Detection for Small Samples of Particleboard Based on Improved Proximal Policy Optimization
Published 2025-04-01“…On the particleboard defect dataset with limited images, PPOBoardNet achieves a mean average precision (mAP) of 79.0%, representing a 5.3% performance improvement over the YOLO series of optimal detection models. …”
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2767
Relative Pose and Inertia Determination of Unknown Satellite Using Monocular Vision
Published 2018-01-01“…The algorithm is based on image processing and can be applied to motion determination of space debris with unknown geometry and dynamic characteristics. …”
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2768
Drill pipe counting for underground drilling rigs based on miner pose recognition
Published 2025-06-01“…At present, studies on drill pipe counting methods based on image processing and machine vision rarely address the problem of occlusion. …”
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2769
Dataset of apples for grading by sweetness, ripeness and varietyMendeley Data
Published 2025-08-01“…Each image was captured under controlled lighting conditions using eight specific wavelengths, ensuring spectral consistency crucial for machine learning applications.These multi-spectral images were concatenated for grading by sweetness, ripeness, and variety, creating a processed dataset of concatenated images optimized for AppleNet processing. …”
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2770
Prediction of moisture content of hummus peach based on multi-burr hyperspectral data
Published 2023-12-01“…<b>Methods: </b>Based on hyperspectral imaging technology, image processing methods were used to identify the area of nectarines in the hyperspectral image, and the spectral reflectance data of the area was calculated to form a hyperspectral curve image. …”
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2771
Soil Condition Classification Based on Natural Water Content Using Computer Vision Technique
Published 2025-06-01“…As a result, seven algorithms were obtained that allow classifying the soil images, which can later be used to optimize the tunnel construction process. …”
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2772
Fast Detection of Idler Supports Using Density Histograms in Belt Conveyor Inspection with a Mobile Robot
Published 2024-11-01“…The algorithm is verified with data recorded in a raw material processing plant by comparing the results with human-labeled objects. …”
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2773
A segmentation method for LiDAR point clouds of aerial slender targets
Published 2025-01-01“…The method introduces an image segmentation algorithm based on a voting mechanism for overhead power lines and designs a calibration algorithm for LiDAR point clouds and images in the scenarios with large depth of field. …”
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2774
The Essentials of Clifford Algebras with Maple Programming
Published 2021-04-01“…Clifford algebra (geometric algebra) which has many applications in physics, robotics, CAD (Computer-Aided Design) /CAM (Computer-Aided Manufacture), computer graphics, image processing, etc. is one of the important subjects in mathematics. …”
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2775
Calibration and uncertainty quantification for deep learning-based drought detection
Published 2025-06-01Get full text
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2776
Resting Posture Recognition Method for Suckling Piglets Based on Piglet Posture Recognition (PPR)–You Only Look Once
Published 2025-01-01“…Firstly, to address the issue of numerous sows and piglets in the farrowing house that easily occlude each other, an image edge detection algorithm is employed to precisely locate the sow’s farrowing bed area. …”
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2777
Basketball teaching methods based on 3D-Convolutional neural network
Published 2025-12-01“…The optimized algorithm is then used for video skilled movement detection processing to obtain cropped frame images. …”
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2778
Using the phantom 4 RTK drone for photogrammetry to create topographic plan of road
Published 2025-01-01“…This was followed by manual intervention to increase the accuracy of the desired output. Image processing and classification helped to build a Digital Terrain Model with an altimetric RMSE of 5 cm - just 3 cm for planimetric error. …”
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2779
Utilização de imagens de satélite como ferramenta de auxilio ao planejamento urbano
Published 2005-01-01“…Thus, a land use monitoring methodology was developed, through Landsat 7 digital image processing, and the image classification with maximum likelihood algorithm. …”
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2780
Enhanced Rapid Autofocus Back-Projection for PBSAR Based on the GEO Satellite
Published 2025-06-01“…However, significant measurement errors were observed to degrade imaging quality. Conventional autofocusing algorithms operate under the assumption that measurement errors primarily perturb phase components while exerting negligible influence on signal envelopes. …”
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