What Can Multifractal Analysis Tell Us about Hyperspectral Imagery?
Hyperspectral images provide complex information about the Earth’s surface due to their very high spectral resolution (hundreds of spectral bands per pixel). Effective processing of such a large amount of data requires dedicated analysis methods. Therefore, this research applies, for the first time,...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/24/4077 |
| _version_ | 1797544851565182976 |
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| author | Michał Krupiński Anna Wawrzaszek Wojciech Drzewiecki Małgorzata Jenerowicz Sebastian Aleksandrowicz |
| author_facet | Michał Krupiński Anna Wawrzaszek Wojciech Drzewiecki Małgorzata Jenerowicz Sebastian Aleksandrowicz |
| author_sort | Michał Krupiński |
| collection | DOAJ |
| description | Hyperspectral images provide complex information about the Earth’s surface due to their very high spectral resolution (hundreds of spectral bands per pixel). Effective processing of such a large amount of data requires dedicated analysis methods. Therefore, this research applies, for the first time, the degree of multifractality to the global description of all spectral bands of Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data. Subsets of four hyperspectral images, presenting four landscape types, are analysed. In particular, we verify whether multifractality can be detected in all spectral bands. Furthermore, we analyse variability in multifractality as a function of wavelength, for data before and after atmospheric correction. We try to identify absorption bands and discuss whether multifractal parameters provide additional value or can help in the problem of dimensionality reduction in hyperspectral data or landscape type classification. |
| first_indexed | 2024-03-10T14:07:22Z |
| format | Article |
| id | doaj.art-f0f0b8e1a536420c9bdc25e680cb669e |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T14:07:22Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-f0f0b8e1a536420c9bdc25e680cb669e2023-11-21T00:34:41ZengMDPI AGRemote Sensing2072-42922020-12-011224407710.3390/rs12244077What Can Multifractal Analysis Tell Us about Hyperspectral Imagery?Michał Krupiński0Anna Wawrzaszek1Wojciech Drzewiecki2Małgorzata Jenerowicz3Sebastian Aleksandrowicz4Centrum Badań Kosmicznych Polskiej Akademii Nauk (CBK PAN), Bartycka 18A, 00-716 Warszawa, PolandCentrum Badań Kosmicznych Polskiej Akademii Nauk (CBK PAN), Bartycka 18A, 00-716 Warszawa, PolandDepartment of Photogrammetry, Remote Sensing of Environment and Spatial Engineering, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, PolandCentrum Badań Kosmicznych Polskiej Akademii Nauk (CBK PAN), Bartycka 18A, 00-716 Warszawa, PolandCentrum Badań Kosmicznych Polskiej Akademii Nauk (CBK PAN), Bartycka 18A, 00-716 Warszawa, PolandHyperspectral images provide complex information about the Earth’s surface due to their very high spectral resolution (hundreds of spectral bands per pixel). Effective processing of such a large amount of data requires dedicated analysis methods. Therefore, this research applies, for the first time, the degree of multifractality to the global description of all spectral bands of Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data. Subsets of four hyperspectral images, presenting four landscape types, are analysed. In particular, we verify whether multifractality can be detected in all spectral bands. Furthermore, we analyse variability in multifractality as a function of wavelength, for data before and after atmospheric correction. We try to identify absorption bands and discuss whether multifractal parameters provide additional value or can help in the problem of dimensionality reduction in hyperspectral data or landscape type classification.https://www.mdpi.com/2072-4292/12/24/4077hyperspectralmultifractaldegree of multifractalitycontent-based image retrieval |
| spellingShingle | Michał Krupiński Anna Wawrzaszek Wojciech Drzewiecki Małgorzata Jenerowicz Sebastian Aleksandrowicz What Can Multifractal Analysis Tell Us about Hyperspectral Imagery? Remote Sensing hyperspectral multifractal degree of multifractality content-based image retrieval |
| title | What Can Multifractal Analysis Tell Us about Hyperspectral Imagery? |
| title_full | What Can Multifractal Analysis Tell Us about Hyperspectral Imagery? |
| title_fullStr | What Can Multifractal Analysis Tell Us about Hyperspectral Imagery? |
| title_full_unstemmed | What Can Multifractal Analysis Tell Us about Hyperspectral Imagery? |
| title_short | What Can Multifractal Analysis Tell Us about Hyperspectral Imagery? |
| title_sort | what can multifractal analysis tell us about hyperspectral imagery |
| topic | hyperspectral multifractal degree of multifractality content-based image retrieval |
| url | https://www.mdpi.com/2072-4292/12/24/4077 |
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