Results 1 to 10 of about 81,920 (279)

Hierarchical semantic segmentation of urban scene point clouds via group proposal and graph attention network

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, Jian Sun, Shan Liu, Xu Zhang, Qi Wu, Yongjun Wang   +5 more
doaj   +1 more source

Coarse-to-Fine Segmentation with Shape-Tailored Continuum Scale Spaces [PDF]

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
We formulate an energy for segmentation that is designed to have preference for segmenting the coarse over fine structure of the image, without smoothing across boundaries of regions. The energy is formulated by integrating a continuum of scales from a scale space computed from the heat equation within regions.
Naeemullah Khan, Byung-Woo Hong, Anthony Yezzi, Ganesh Sundaramoorthi   +3 more
openaire   +1 more source

LEST: Large-Scale LiDAR Semantic Segmentation With Deployment-Friendly Transformer Architecture

IEEE Access
Large-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, Nuo Cheng, Sikun Ma, Han Li, Xiaohan Li, Shengguang Lei, Pu Li   +6 more
doaj   +1 more source

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, Hans De Sterck, Geoffrey Sanders, Haig Djambazian, Robert Sladek, Saravanan Sundararajan, Thomas J. Hudson   +6 more
doaj   +1 more source

Double-Branch Multi-Scale Contextual Network: A Model for Multi-Scale Street Tree Segmentation in High-Resolution Remote Sensing Images

Sensors
Street 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
doaj   +1 more source

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
doaj   +1 more source

Remote Sensing Image Segmentation Using Vision Mamba and Multi-Scale Multi-Frequency Feature Fusion

Remote Sensing
Rapid 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, Chenchen Liu, Zhenhua Wu, Lei Zhang, Lixia Yang   +4 more
doaj   +1 more source

Scaling Model Checking for DNN Analysis via State-Space Reduction and Input Segmentation (Extended Version) [PDF]

, 2023
Mahum Naseer, Osman Hasan, Muhammad Shafique   +2 more
openalex   +1 more source

Semantic segmentation of remote sensing images based on dual‐channel attention mechanism

IET Image Processing
Due 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
doaj   +1 more source

DFSNet: A 3D Point Cloud Segmentation Network toward Trees Detection in an Orchard Scene

Sensors
In 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, Chao Liu, Hui Liu, Guanxue Yang, Yue Shen, Jie Xu   +5 more
doaj   +1 more source