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Automatic detection of dynamic Ha dark features from high-cadence FMT observations

Automatic detection of dynamic Ha dark features from high-cadence FMT observations. Speaker: Liu Yu @ Kwasan and Hida Obs., Kyoto University. Introduction.

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454 views • 33 slides

Automatic detection of dynamic Ha dark features from high-cadence FMT observations

Automatic detection of dynamic Ha dark features from high-cadence FMT observations. Speaker: Liu Yu @ Kwasan and Hida Obs., Kyoto University. Introduction.

★ ★ ★ ★ ★

335 views • 33 slides

Emphasis

Emphasis. Emphasis is a principle of art which occurs any time an element of a piece is given dominance by the artist. In other words, the artist makes part of the work stand out, in order to draw the viewer's eye there first.

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455 views • 26 slides

Analysis of Hyperspectral Image Using Minimum Volume Transform (MVT)

Analysis of Hyperspectral Image Using Minimum Volume Transform (MVT). Ziv Waxman & Chen Vanunu Instructor: Mr. Oleg Kuybeda. Objectives:. Testing the MVT algorithm as a tool of analyzing hyperspectral image.

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252 views • 12 slides

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Automatic detection of dynamic Ha dark features from high-cadence FMT observations

Automatic detection of dynamic Ha dark features from high-cadence FMT observations

Emphasis

Analysis of Hyperspectral Image Using Minimum Volume Transform (MVT)