Articles | Volume 9, issue 2
https://doi.org/10.5194/amt-9-753-2016
https://doi.org/10.5194/amt-9-753-2016
Research article
 | 
01 Mar 2016
Research article |  | 01 Mar 2016

From pixels to patches: a cloud classification method based on a bag of micro-structures

Qingyong Li, Zhen Zhang, Weitao Lu, Jun Yang, Ying Ma, and Wen Yao

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Short summary
This paper proposes a new cloud classification method, named bag of micro-structures (BoMS), for whole-sky imagers. BoMS treats an all-sky image as a collection of micro-structures mapped from image patches, rather than a collection of pixels. BoMS identifies five different sky conditions: cirriform, cumuliform, stratiform, clear sky, and mixed cloudiness (often appearing in all-sky images but seldom addressed in the literature). The performance of BoMS overperforms those of traditional methods.