当前位置:
X-MOL 学术
›
GISci. Remote Sens.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
A novel spaceborne photon-counting laser altimeter denoising method based on parameter-adaptive density clustering
GIScience & Remote Sensing ( IF 6.0 ) Pub Date : 2024-03-15 , DOI: 10.1080/15481603.2024.2326702 Ren Liu 1, 2 , Xinming Tang 2 , Junfeng Xie 2 , Rujia Ma 3 , Fan Mo 2 , Xiaomeng Yang 2
GIScience & Remote Sensing ( IF 6.0 ) Pub Date : 2024-03-15 , DOI: 10.1080/15481603.2024.2326702 Ren Liu 1, 2 , Xinming Tang 2 , Junfeng Xie 2 , Rujia Ma 3 , Fan Mo 2 , Xiaomeng Yang 2
Affiliation
To tackle the challenge of denoising spaceborne photon-counting laser altimeter point clouds with uneven noise density, this study proposes a denoising method based on adaptive parameter density cl...
中文翻译:
一种基于参数自适应密度聚类的星载光子计数激光高度计去噪方法
针对星载光子计数激光高度计点云噪声密度不均匀的去噪挑战,提出一种基于自适应参数密度聚类的去噪方法。
更新日期:2024-03-15
中文翻译:
一种基于参数自适应密度聚类的星载光子计数激光高度计去噪方法
针对星载光子计数激光高度计点云噪声密度不均匀的去噪挑战,提出一种基于自适应参数密度聚类的去噪方法。