Paper
8 November 2012 The inpainting of hyperspectral images: a survey and adaptation to hyperspectral data
Author Affiliations +
Proceedings Volume 8537, Image and Signal Processing for Remote Sensing XVIII; 85371K (2012) https://doi.org/10.1117/12.974696
Event: SPIE Remote Sensing, 2012, Edinburgh, United Kingdom
Abstract
In this work, we survey image reconstruction methods for hyperspectral imagery. First, a review of image interpolation methods, both linear and nonlinear, is given. Second, image inpainting methods, especially from the variational perspective, are analyzed with respect to their suitability for hyperspectral inpainting. The ability to connect edges through occlusions and the structure of the space in which the hyperspectral data lies are especially considered when propagating data into unknown regions. Finally, a general method for adapting image reconstruction methods to the hyperspectral case is presented.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alex Chen "The inpainting of hyperspectral images: a survey and adaptation to hyperspectral data", Proc. SPIE 8537, Image and Signal Processing for Remote Sensing XVIII, 85371K (8 November 2012); https://doi.org/10.1117/12.974696
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Cited by 16 scholarly publications.
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KEYWORDS
Principal component analysis

Hyperspectral imaging

Image restoration

Reconstruction algorithms

Data acquisition

Image interpolation

Sensors

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