Back to search

Article

On the Generalization Ability of Data-Driven Models in the Problem of Total Cloud Cover Retrieval

2020-11-04

Abstract excerpt

Total cloud cover (TCC) retrieval from ground-based optical imagery is a problem being tackled by a few generations of researchers. The number of human-designed algorithms for the estimation of TCC grows every year. However, there is not very much progress in terms of quality, mostly due to the lack of systematic approach to the design of the algorithms, to the assessment of their generalization ability, and to th...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
6b435b1b-18bc-5d65-8b88-0996ad0349ef
DOI
10.20944/preprints202011.0192.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
On the Generalization Ability of Data-Driven Models in the Problem of Total Cloud Cover RetrievalDOI 10.20944/preprints202011.0192.v1
Select a neighboring publication to make it the new centre.