A method for land-cover classification was proposed based on the fusion of features generated from waveform data and point cloud respectively. It aims to partially overcome the ineffectiveness of many
Automatic and accurate classification is a fundamental problem to the analysis and modeling of LiDAR(Light Detection and Ranging)data.Recently,convolutional neural network(ConvNet or CNN)has achieved remarkable performance in image recognition and compute
ZiYuan3-03( ZY3-03) satellite was launched on July 25,2020,equipped with Chinas second-generation laser altimeter for earth observation. In order to preliminarily evaluate the in-orbit performance of
The laser altimeter loaded on the GaoFen-7( GF-7) satellite is designed to record the full waveform data and footprint image,which can obtain high-precision elevation control points for stereo image.
Airborne Light Detection And Ranging(LiDAR)can provide high-quality three-dimensional information for the safety inspection of electricity corridors.However,the robust extraction of transmission lines from airborne point cloud data is still greatly challe
A fast local reference frame( LRF) construction method based on the signed surface variation is proposed,which can adapt to the real-time applications such as self-driving,face recognition,object dete