Eliminating Temporal Illumination Variations in Whisk-broom Hyperspectral Imaging

We propose a method for eliminating the temporal illumination variations in whisk-broom (point-scan) hyperspectral imaging. Whisk-broom scanning is useful for acquiring a spatial measurement using a pixel-based hyperspectral sensor. However, when it is applied to outdoor cultural heritages, temporal...

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Veröffentlicht in:	International journal of computer vision Jg. 130; H. 5; S. 1310 - 1324
Hauptverfasser:	Funatomi, Takuya, Ogawa, Takehiro, Tanaka, Kenichiro, Kubo, Hiroyuki, Caron, Guillaume, Mouaddib, El Mustapha, Matsushita, Yasuyuki, Mukaigawa, Yasuhiro
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.05.2022 Springer Springer Nature B.V Springer Verlag
Schlagworte:	Artificial Intelligence Cathedrals Computer Imaging Computer Science Computer Vision and Pattern Recognition Hyperspectral imaging Illumination Image Processing and Computer Vision Infrared radiation Pattern Recognition Pattern Recognition and Graphics Raster Raster scanning Scanning devices Sensors Special Issue on Computer Vision for Cultural Heritage Vision Low-rank approximation Computational photography Varying illumination Hyperspectral imaging
ISSN:	0920-5691, 1573-1405
Online-Zugang:	Volltext
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