首页> 外文OA文献 >Voxel-Based Neighborhood for Spatial Shape Pattern Classification of Lidar Point Clouds with Supervised Learning

【2h】

Voxel-Based Neighborhood for Spatial Shape Pattern Classification of Lidar Point Clouds with Supervised Learning

机译：基于体素的邻域对带有监督学习的激光雷达点云空间形状模式分类

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Victoria Plaza-Leiva; Jose Antonio Gomez-Ruiz; Anthony Mandow; Alfonso García-Cerezo;
展开▼
作者单位

展开▼
年度 2017
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Voxel-Based Neighborhood for Spatial Shape Pattern Classification of Lidar Point Clouds with Supervised Learning [J] . Victoria Plaza-Leiva, Jose Antonio Gomez-Ruiz, Anthony Mandow, Sensors . 2017,第3期

机译：基于体素的邻域有监督学习的激光雷达点云空间形状模式分类
2. Improved Supervised Learning-Based Approach for Leaf and Wood Classification From LiDAR Point Clouds of Forests [J] . Moorthy Sruthi M. Krishna, Calders Kim, Vicari Matheus B., IEEE Transactions on Geoscience and Remote Sensing . 2020,第5期

机译：利用森林激光乐队点云改进了基于叶子和木材分类的监督
3. FRACTAL DIMENSION BASED SUPERVISED LEARNING FOR WOOD AND LEAF CLASSIFICATION FROM TERRESTRIAL LIDAR POINT CLOUDS [J] . Z. Hui, Y. Xia, Y. Nie, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences . 2020,第5期

机译：基于分形维数的木材和叶片分类监督学习陆地潮汐点云
4. Methods for LiDAR point cloud classification using local neighborhood statistics [C] . Angela M. Kim, Richard C. Olsen, Fred A. Kruse Laser radar technology and applications XVIII . 2013

机译：基于局部邻域统计的LiDAR点云分类方法
5. Semi-Supervised Machine Learning Techniques for Classification of Evolving Data in Pattern Recognition =TECHNIQUES SEMI-SUPERVISéES D'APPRENTISSAGE MACHINE POUR LA CLASSIFICATION DES DONNéES EN éVOLUTION EN RECONNAISSANCE DE FORMES [D] . Tencer, Lukas. 2017

机译：半监督机器学习技术，用于模式识别中不断发展的数据分类=在表单识别中对数据进行分类的半监督机器学习技术
6. Voxel-Based Neighborhood for Spatial Shape Pattern Classification of Lidar Point Clouds with Supervised Learning [O] . Victoria Plaza-Leiva, Jose Antonio Gomez-Ruiz, Anthony Mandow, 2017

机译：基于体素的邻域有监督学习的激光雷达点云空间形状模式分类
7. Improved Supervised Learning-Based Approach for Leaf and Wood Classification From LiDAR Point Clouds of Forests [O] . Sruthi M. Krishna Moorthy, Kim Calders, Matheus B. Vicari, 2020

机译：利用森林激光乐队点云改进了基于叶子和木材分类的监督
8. Learning probability spaces for classification and recognition of patterns with or without supervision [R] . Hancock, J. C., Patrick, E. A. 1965

机译：学习概率空间，用于在有或没有监督的情况下分类和识别模式

Voxel-Based Neighborhood for Spatial Shape Pattern Classification of Lidar Point Clouds with Supervised Learning

著录项

引文网络

相似文献

相关主题

期刊订阅