Exploration of Machine Learning techniques for Cloud Removal and Gap Filling on Sentinel-2 time series images for better Exploitation in Far North Cameroon
Summary by researchsquare.com
1 Articles
1 Articles
All
Left
Center
Right
Exploration of Machine Learning techniques for Cloud Removal and Gap Filling on Sentinel-2 time series images for better Exploitation in Far North Cameroon
The direct exploitation and interpretation of optical satellite images, such as Sentinel-2 data, is significantly hampered by cloud cover. In this paper, we explore several machine learning algorithms in order to suggest a machine learning-based method for cloud removal and gap filling in Sent...
Coverage Details
Total News Sources1
Leaning Left0Leaning Right0Center0Last UpdatedBias DistributionNo sources with tracked biases.
Bias Distribution
- There is no tracked Bias information for the sources covering this story.
Factuality
To view factuality data please Upgrade to Premium
Ownership
To view ownership data please Upgrade to Vantage