2017
DOI: 10.5194/amt-2017-402
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Cloud classification of ground-based infrared images combining manifold and texture features

Abstract: Abstract. Automatic cloud type recognition of ground-based infrared images is still a challenging task. A novel cloud classification method is proposed to group images into five cloud types based on manifold and texture features. Compared with statistical features in the Euclidean space, manifold features extracted on Symmetric Positive Definite (SPD) matrix space can describe the non-Euclidean geometric characteristics of the infrared image. The proposed method comprises three stages: pre-processing, feature … Show more

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