Results 31 to 40 of about 77,868 (177)
International Journal of Applied Earth Observations and Geoinformation, 2021 Although many notable improvements have been devoted to the semantic segmentation of laser scanning (LS) data, the extreme complexity of scanned scenes poses significant challenges in achieving the effective distribution of a category label per point ...
Tengping Jiang +5 more
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Scale-Space Processing of Point-Sampled Geometry for Efficient 3D Object Segmentation [PDF]
IEICE Transactions on Information and Systems, 2004 In this paper, we present a new framework for analyzing and segmenting point-sampled 3D objects. Our method first computes for each surface point the surface curvature distribution by applying the principal component analysis on local neighborhoods with different sizes.
Hamid Laga +2 more
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LEST: Large-Scale LiDAR Semantic Segmentation With Deployment-Friendly Transformer Architecture
IEEE AccessLarge-scale LiDAR-based point cloud semantic segmentation is a critical challenge for autonomous driving perception. Most state-of-the-art LiDAR semantic segmentation methods rely on complex operators, such as sparse 3D convolutions or KdTree structures,
Chuanyu Luo +6 more
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Multilevel Space-Time Aggregation for Bright Field Cell Microscopy Segmentation and Tracking
International Journal of Biomedical Imaging, 2010 A multilevel aggregation method is applied to the problem of segmenting live cell bright field microscope images. The method employed is a variant of the so-called “Segmentation by Weighted Aggregation” technique, which itself is based on Algebraic ...
Tiffany Inglis +6 more
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Mountain Segmentation Based on Global Optimization with the Cloth Simulation Constraint
Remote Sensing, 2023 Mountains are an important research object for surveying, mapping, cartography, space science, and ecological remote sensing. Automatic mountain segmentation is one of the most critical techniques in large-scale mountain analyses.
Lekang Wen, Jun He, Xu Huang
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SensorsStreet trees are of great importance to urban green spaces. Quick and accurate segmentation of street trees from high-resolution remote sensing images is of great significance in urban green space management. However, traditional segmentation methods can
Hongyang Zhang, Shuo Liu
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Remote Sensing Image Segmentation Using Vision Mamba and Multi-Scale Multi-Frequency Feature Fusion
Remote SensingRapid advancements in remote sensing (RS) imaging technology have heightened the demand for the precise and efficient interpretation of large-scale, high-resolution RS images. Although segmentation algorithms based on convolutional neural networks (CNNs)
Yice Cao +4 more
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Semantic segmentation of remote sensing images based on dual‐channel attention mechanism
IET Image ProcessingDue to the inadequate utilization of data correlation and complementarity in the feature extraction process of multimodal remote sensing images, the paper proposes a deep learning semantic segmentation algorithm based on the Dual Channel Attention ...
Jionghui Jiang, Xi'an Feng, Hui Huang
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DFSNet: A 3D Point Cloud Segmentation Network toward Trees Detection in an Orchard Scene
SensorsIn order to guide orchard management robots to realize some tasks in orchard production such as autonomic navigation and precision spraying, this research proposed a deep-learning network called dynamic fusion segmentation network (DFSNet).
Xinrong Bu +5 more
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Research on Fault Diagnosis of Rolling Bearing Based on Morlet Wavelet and Scale Space
机车电传动, 2021 Aiming at the difficulty of extracting the early fault features of rolling bearings, a rolling bearing fault diagnosis method based on Morlet wavelet and scale space was proposed.
Maohui WANG +3 more
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