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RESEARCH PRODUCT
Spatial/spectral information trade-off in hyperspectral images
Raul Santos-rodriguezValero Laparrcrsubject
Computer sciencebusiness.industryGaussianHyperspectral imagingPattern recognitionsymbols.namesakeFull spectral imagingsymbolsEntropy (information theory)Computer visionArtificial intelligencebusinessSpatial analysisImage resolutiondescription
This paper shows an empirical analysis of the trade-off between the spectral and the spatial information content of hyperspectral images. The objective of this study is to provide some insights into how changes and variations of both resolutions may affect the information content of the resulting image. This is useful for different stages of hyperspectral image processing: from acquisition to final applications. We propose two alternative approaches to measure the information content of a hyperspectral image: first, a second order approximation where the data distribution is supposed to be Gaussian, and secondly a higher order approximation where no assumption about the data distribution is made.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2015-07-01 | 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |