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Gege, Peter (2022) Improving phytoplankton classification from hyperspectral measurements taking the SNR into account. Ocean Optics XXV Conference, 2022-10-02 - 2022-10-07, Quy Nhon, Vietnam.
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Abstract
The many bands and the high spectral resolution of hyperspectral sensors such as PRISMA, DESIS or EnMAP appear very promising for phytoplankton classification, but their increased sensor noise compared to multispectral sensors imposes limitations on threshold concentrations and the number of phytoplankton groups that can be distinguished. An analytic equation for a spectral weighting function (w) of the sensor bands is presented which optimizes the retrieval of phytoplankton groups from hyperspectral data. The function w depends on the reflectance differences (dR) induced by variable phytoplankton type and concentration, and on the signal-to-noise ratio (SNR) of the measurement. Extensive simulations covering wide concentration ranges of water constituents and major phytoplankton groups have been made to derive typical spectra of dR. Examples of w are presented based on these simulated dR spectra and on measured SNR spectra from hyperspectral satellite sensors. The improvement for phytoplankton classification is demonstrated for simulated measurements and for some hyperspectral images from PRISMA and DESIS.
| Item URL in elib: | https://elib.dlr.de/189291/ | ||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||
| Title: | Improving phytoplankton classification from hyperspectral measurements taking the SNR into account | ||||||||
| Authors: |
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| Date: | 4 October 2022 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | Yes | ||||||||
| Gold Open Access: | No | ||||||||
| In SCOPUS: | No | ||||||||
| In ISI Web of Science: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | Remote Sensing, hyperspectral, phytoplankton, SNR, DESIS, simulation | ||||||||
| Event Title: | Ocean Optics XXV Conference | ||||||||
| Event Location: | Quy Nhon, Vietnam | ||||||||
| Event Type: | international Conference | ||||||||
| Event Start Date: | 2 October 2022 | ||||||||
| Event End Date: | 7 October 2022 | ||||||||
| Organizer: | The Oceanography Society (TOS) | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Space | ||||||||
| HGF - Program Themes: | Earth Observation | ||||||||
| DLR - Research area: | Raumfahrt | ||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||
| DLR - Research theme (Project): | R - Optical remote sensing | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > Experimental Methods | ||||||||
| Deposited By: | Gege, Dr.rer.nat. Peter | ||||||||
| Deposited On: | 26 Oct 2022 13:52 | ||||||||
| Last Modified: | 24 Apr 2024 20:50 |
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- Improving phytoplankton classification from hyperspectral measurements taking the SNR into account. (deposited 26 Oct 2022 13:52) [Currently Displayed]
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