Abstract
We present a novel approach for segmenting lidar imagery into geometric time-height cloud locations with a fully convolutional network. We show the model achieves higher levels of cloud identification compared to the MPLCMASK algorithm.
© 2019 The Author(s)
PDF ArticleMore Like This
Xinwen Li, Yingchun Wu, Longchao Yao, Xiaodan Lin, Xuecheng Wu, and Kefa Cen
Th2A.3 Digital Holography and Three-Dimensional Imaging (DH) 2019
R. Dubinsky, W. Hunt, J. Moore, and M. Osborn
MC11 Laser and Optical Remote Sensing: Instrumentation and Techniques (LORS) 1987
Yakov Diskin, Nina Varney, and Vijayan Asari
IW4A.4 Imaging Systems and Applications (IS) 2015