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A spectral weighting function for improving phytoplankton classification

Gege, Peter (2023) A spectral weighting function for improving phytoplankton classification. Optica Sensing Congress 2023, 2023-07-31 - 2023-08-03, München. doi: 10.1364/HMISE.2023.HW4C.2.

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Official URL: https://opg.optica.org/abstract.cfm?URI=HMISE-2023-HW4C.2

Abstract

A spectral weighting function is presented which optimizes phytoplankton classification from hyperspectral data taking the signal-to-noise ratio of the current image into account. The improvements are illustrated using a DESIS image from Lake Constance.

Item URL in elib:https://elib.dlr.de/198583/
Document Type:Conference or Workshop Item (Speech)
Title:A spectral weighting function for improving phytoplankton classification
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Gege, PeterUNSPECIFIEDhttps://orcid.org/0000-0003-0939-5267UNSPECIFIED
Date:2 August 2023
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.1364/HMISE.2023.HW4C.2
Page Range:pp. 1-2
Status:Published
Keywords:Remote sensing, DESIS, phytoplankton, inverse modeling, WASI
Event Title:Optica Sensing Congress 2023
Event Location:München
Event Type:international Conference
Event Start Date:31 July 2023
Event End Date:3 August 2023
Organizer:OPTICA
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:02 Nov 2023 10:24
Last Modified:24 Apr 2024 20:59

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