Becker, Merlin und Schreiner, Simon und Auer, Stefan und Cerra, Daniele und Gege, Peter und Bachmann, Martin und Roitzsch, Andreas und Mitschke, Uwe und Middelmann, Wolfgang (2018) Reconnaissance of coastal areas using simulated EnMAP data in an ERDAS IMAGINE Environment. SPIE - Remote Sensing - Earth Resources and Environmental Remote Sensing/GIS Applications, 2018-09-10 - 2018-09-13, Berlin, Deutschland. doi: 10.1117/12.2325402.
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Kurzfassung
Operations in a military naval context require a detailed planning and information gathering. For this purpose, remote sensing is a useful technique without in-situ survey. A collaboration of Fraunhofer IOSB (Institute of Optronics, System Technologies and Image Exploitation), DLR (German Aerospace Center), and Bundeswehr Geoinformation Centre ZGeoBw, engineered a desktop Geoinformation (GIS) plug-in to generate bathymetric charts and land-use-classes (vegetation, soil types and minerals) using hyperspectral data of coastal areas. These data are basis for further analyses like trafficability, barrier detection and change detection. To evaluate the potential of satellites launched in the near future with hyperspectral sensors onboard (EnMAP), aerial hyperspectral data (HySpex, AISA) were collected over a test site near the Wismar Bay in Germany and are used to simulate the satellite hyperspectral data with corresponding recording terms. Additionally, a field campaign was conducted at the Wismar Bay to acquire a ground truth dataset for model validation, including soil spectra and water depths as well. For generating the bathymetric charts, the WASI (Water Color Simulator) approach was adapted, which offers additional information besides water depth (e.g. dissolved matter, brightness of sand, relative amount of sea grass and other properties). Resulting bathymetric charts with a depth up to eight meters and unsupervised classifications of land cover are free of artefacts and accurate. A validation process is in progress. The engineered desktop GIS plug-in for HEXAGON ERDAS IMAGINE software was developed using the native SDK in addition with interoperable scripts like Python. The existing plug-in framework is variable and adaptable to different kind of GIS.
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||||||||||||||||||
Titel: | Reconnaissance of coastal areas using simulated EnMAP data in an ERDAS IMAGINE Environment | ||||||||||||||||||||||||||||||||||||||||
Autoren: |
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Datum: | September 2018 | ||||||||||||||||||||||||||||||||||||||||
Referierte Publikation: | Nein | ||||||||||||||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||||||||||||||||||
DOI: | 10.1117/12.2325402 | ||||||||||||||||||||||||||||||||||||||||
Seitenbereich: | Seiten 1-12 | ||||||||||||||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||||||||||||||
Stichwörter: | Hyperspektralfernerkundung, Bathymetrie, Klassifikation, HySpex | ||||||||||||||||||||||||||||||||||||||||
Veranstaltungstitel: | SPIE - Remote Sensing - Earth Resources and Environmental Remote Sensing/GIS Applications | ||||||||||||||||||||||||||||||||||||||||
Veranstaltungsort: | Berlin, Deutschland | ||||||||||||||||||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||||||||||||||||||
Veranstaltungsbeginn: | 10 September 2018 | ||||||||||||||||||||||||||||||||||||||||
Veranstaltungsende: | 13 September 2018 | ||||||||||||||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Vorhaben hochauflösende Fernerkundungsverfahren (alt) | ||||||||||||||||||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse Institut für Methodik der Fernerkundung > Experimentelle Verfahren Deutsches Fernerkundungsdatenzentrum > Dynamik der Landoberfläche | ||||||||||||||||||||||||||||||||||||||||
Hinterlegt von: | Auer, Dr. Stefan | ||||||||||||||||||||||||||||||||||||||||
Hinterlegt am: | 05 Nov 2018 10:10 | ||||||||||||||||||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:26 |
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