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of 3
pro vyhledávání: '"Weiya Ye"'
Autor:
Huxiong Li, Weiya Ye, Jun Liu, Weikai Tan, Saied Pirasteh, Sarah Narges Fatholahi, Jonathan Li
Publikováno v:
Remote Sensing, Vol 13, Iss 17, p 3448 (2021)
This study presents a novel workflow for automated Digital Terrain Model (DTM) extraction from Airborne LiDAR point clouds based on a convolutional neural network (CNN), considering a transfer learning approach. The workflow consists of three parts:
Externí odkaz:
https://doaj.org/article/7176e51da3a048268ee611faaa39fc01
Autor:
Saied Pirasteh, Weikai Tan, Weiya Ye, Huxiong Li, Jun Liu, Jonathan Li, Sarah Narges Fatholahi
Publikováno v:
Remote Sensing, Vol 13, Iss 3448, p 3448 (2021)
Remote Sensing; Volume 13; Issue 17; Pages: 3448
Remote Sensing; Volume 13; Issue 17; Pages: 3448
This study presents a novel workflow for automated Digital Terrain Model (DTM) extraction from Airborne LiDAR point clouds based on a convolutional neural network (CNN), considering a transfer learning approach. The workflow consists of three parts:
Autor:
Jonathan Li, Weiya Ye
Publikováno v:
IGARSS
Remote sensing plays an essential role in the continuous monitoring of sea ice in polar regions. This study fills the gap in literature by conducting a cross-mission analysis between ICESat and EnviSat from 2005 to 2009. The methodology consists of t