搜索结果: 1-5 共查到“光信息技术 Terrestrial”相关记录5条 . 查询时间(0.074 秒)
3D SURVEY IN COMPLEX ARCHAEOLOGICAL ENVIRONMENTS: AN APPROACH BY TERRESTRIAL LASER SCANNING
Terrestrial Laser Scanner 3D documentation 3D Model Archaeological excavation
2018/6/4
The survey of archaeological sites by appropriate geomatics technologies is an important research topic. In particular, the 3D survey by terrestrial laser scanning has become a common practice for 3D ...
Automatic registration of terrestrial laserscanner data via imagery
terrestrial laser scanner 3D point clouds registration colour coded targets 3D similarity transformation
2015/8/24
The registration of point clouds forms the first task associated with building 3D models from laser scanner data in cases where multiple scans are required for complete coverage of the scene or object...
Spatial, Temporal, and Interchannel Image Data Fusion for Long-Distance Terrestrial Observation Systems
Spatial Temporal Interchannel Image Data Fusion Long-Distance Terrestrial Observation Systems
2009/5/19
This paper presents methods for intrachannel and interchannel fusion of thermal and visual sensors used in long-distance terrestrial observation systems. Intrachannel spatial and temporal fusion mecha...
Experimental Analysis of 100Gb/s Coherent PDM-QPSK Long-Haul Transmission under Constraints of Typical Terrestrial Networks
Coherent PDM-QPSK Long-Haul Transmission Constraints Typical Terrestrial Networks
2015/8/3
Coherent transmission systems using PDM-QPSK format are found particularly robust to the constraints of all-erbium amplifiers based, transparent terrestrial networks when operating at 100Gb/s channel ...
A Stratified Sampling Monte Carlo Algorithm for Efficient BER measurement and its Application to DQPSK Terrestrial Systems
Monte Carlo Algorithm Efficient BER measurement DQPSK Terrestrial Systems
2015/7/31
We propose an efficient stratified sampling algorithm for BER estimation and apply it to FEC-coded DQPSK systems. We measured computational savings up to 70% compared with standard Monte Carlo.