all AI news
Cloud removal Using Atmosphere Model. (arXiv:2210.01981v1 [cs.CV])
Oct. 6, 2022, 1:11 a.m. | Yi Guo, Feng Li, Zhuo Wang
cs.LG updates on arXiv.org arxiv.org
Cloud removal is an essential task in remote sensing data analysis. As the
image sensors are distant from the earth ground, it is likely that part of the
area of interests is covered by cloud. Moreover, the atmosphere in between
creates a constant haze layer upon the acquired images. To recover the ground
image, we propose to use scattering model for temporal sequence of images of
any scene in the framework of low rank and sparse models. We further develop …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Robotics Technician - 3rd Shift
@ GXO Logistics | Perris, CA, US, 92571