Unmixing-based Denoising as a pre-processing step for Coral Reef Analysis
Coral reefs, among the world's most biodiverse and productive submerged habitats, have faced several mass bleaching events due to climate change during the past 35 years. In the course of this century, global warming and ocean acidification are expected to cause corals to become increasingly ra...
Published in: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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ftdlr:oai:elib.dlr.de:112905 2024-05-19T07:46:38+00:00 Unmixing-based Denoising as a pre-processing step for Coral Reef Analysis Cerra, Daniele Traganos, Dimosthenis Gege, Peter Reinartz, Peter 2017-06 application/pdf https://elib.dlr.de/112905/ https://elib.dlr.de/112905/1/Cerra_isprs-archives-XLII-1-W1-279-2017.pdf http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1-W1/279/2017/ en eng Copernicus Publications https://elib.dlr.de/112905/1/Cerra_isprs-archives-XLII-1-W1-279-2017.pdf Cerra, Daniele und Traganos, Dimosthenis und Gege, Peter und Reinartz, Peter (2017) Unmixing-based Denoising as a pre-processing step for Coral Reef Analysis. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, XLII-1 (W1), Seiten 279-282. Copernicus Publications. ISPRS Hannover Workshop: HRIGI 17, 2017-06-06 - 2017-06-09, Hannover, Germany. doi:10.5194/isprs-archives-XLII-1-W1-279-2017 <https://doi.org/10.5194/isprs-archives-XLII-1-W1-279-2017>. Photogrammetrie und Bildanalyse Experimentelle Verfahren Konferenzbeitrag NonPeerReviewed 2017 ftdlr https://doi.org/10.5194/isprs-archives-XLII-1-W1-279-2017 2024-04-25T00:41:45Z Coral reefs, among the world's most biodiverse and productive submerged habitats, have faced several mass bleaching events due to climate change during the past 35 years. In the course of this century, global warming and ocean acidification are expected to cause corals to become increasingly rare on reef systems. This will result in a sharp decrease in the biodiversity of reef communities and carbonate reef structures. Coral reefs may be mapped, characterized and monitored through remote sensing. Hyperspectral images in particular excel in being used in coral monitoring, being characterized by very rich spectral information, which results in a strong discrimination power to characterize a target of interest, and separate healthy corals from bleached ones. Being submerged habitats, coral reef systems are difficult to analyse in airborne or satellite images, as relevant information is conveyed in bands in the blue range which exhibit lower signal-to-noise ratio (SNR) with respect to other spectral ranges; furthermore, water is absorbing most of the incident solar radiation, further decreasing the SNR. Derivative features, which are important in coral analysis, result greatly affected by the resulting noise present in relevant spectral bands, justifying the need of new denoising techniques able to keep local spatial and spectral features. In this paper, Unmixing-based Denoising (UBD) is used to enable analysis of a hyperspectral image acquired over a coral reef system in the Red Sea based on derivative features. UBD reconstructs pixelwise a dataset with reduced noise effects, by forcing each spectrum to a linear combination of other reference spectra, exploiting the high dimensionality of hyperspectral datasets. Results show clear enhancements with respect to traditional denoising methods based on spatial and spectral smoothing, facilitating the coral detection task. Conference Object Ocean acidification German Aerospace Center: elib - DLR electronic library The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W1 279 282 |
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Open Polar |
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German Aerospace Center: elib - DLR electronic library |
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language |
English |
topic |
Photogrammetrie und Bildanalyse Experimentelle Verfahren |
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Photogrammetrie und Bildanalyse Experimentelle Verfahren Cerra, Daniele Traganos, Dimosthenis Gege, Peter Reinartz, Peter Unmixing-based Denoising as a pre-processing step for Coral Reef Analysis |
topic_facet |
Photogrammetrie und Bildanalyse Experimentelle Verfahren |
description |
Coral reefs, among the world's most biodiverse and productive submerged habitats, have faced several mass bleaching events due to climate change during the past 35 years. In the course of this century, global warming and ocean acidification are expected to cause corals to become increasingly rare on reef systems. This will result in a sharp decrease in the biodiversity of reef communities and carbonate reef structures. Coral reefs may be mapped, characterized and monitored through remote sensing. Hyperspectral images in particular excel in being used in coral monitoring, being characterized by very rich spectral information, which results in a strong discrimination power to characterize a target of interest, and separate healthy corals from bleached ones. Being submerged habitats, coral reef systems are difficult to analyse in airborne or satellite images, as relevant information is conveyed in bands in the blue range which exhibit lower signal-to-noise ratio (SNR) with respect to other spectral ranges; furthermore, water is absorbing most of the incident solar radiation, further decreasing the SNR. Derivative features, which are important in coral analysis, result greatly affected by the resulting noise present in relevant spectral bands, justifying the need of new denoising techniques able to keep local spatial and spectral features. In this paper, Unmixing-based Denoising (UBD) is used to enable analysis of a hyperspectral image acquired over a coral reef system in the Red Sea based on derivative features. UBD reconstructs pixelwise a dataset with reduced noise effects, by forcing each spectrum to a linear combination of other reference spectra, exploiting the high dimensionality of hyperspectral datasets. Results show clear enhancements with respect to traditional denoising methods based on spatial and spectral smoothing, facilitating the coral detection task. |
format |
Conference Object |
author |
Cerra, Daniele Traganos, Dimosthenis Gege, Peter Reinartz, Peter |
author_facet |
Cerra, Daniele Traganos, Dimosthenis Gege, Peter Reinartz, Peter |
author_sort |
Cerra, Daniele |
title |
Unmixing-based Denoising as a pre-processing step for Coral Reef Analysis |
title_short |
Unmixing-based Denoising as a pre-processing step for Coral Reef Analysis |
title_full |
Unmixing-based Denoising as a pre-processing step for Coral Reef Analysis |
title_fullStr |
Unmixing-based Denoising as a pre-processing step for Coral Reef Analysis |
title_full_unstemmed |
Unmixing-based Denoising as a pre-processing step for Coral Reef Analysis |
title_sort |
unmixing-based denoising as a pre-processing step for coral reef analysis |
publisher |
Copernicus Publications |
publishDate |
2017 |
url |
https://elib.dlr.de/112905/ https://elib.dlr.de/112905/1/Cerra_isprs-archives-XLII-1-W1-279-2017.pdf http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1-W1/279/2017/ |
genre |
Ocean acidification |
genre_facet |
Ocean acidification |
op_relation |
https://elib.dlr.de/112905/1/Cerra_isprs-archives-XLII-1-W1-279-2017.pdf Cerra, Daniele und Traganos, Dimosthenis und Gege, Peter und Reinartz, Peter (2017) Unmixing-based Denoising as a pre-processing step for Coral Reef Analysis. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, XLII-1 (W1), Seiten 279-282. Copernicus Publications. ISPRS Hannover Workshop: HRIGI 17, 2017-06-06 - 2017-06-09, Hannover, Germany. doi:10.5194/isprs-archives-XLII-1-W1-279-2017 <https://doi.org/10.5194/isprs-archives-XLII-1-W1-279-2017>. |
op_doi |
https://doi.org/10.5194/isprs-archives-XLII-1-W1-279-2017 |
container_title |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
container_volume |
XLII-1/W1 |
container_start_page |
279 |
op_container_end_page |
282 |
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1799486859975327744 |