Deep learning powered non-local speckle filtering of sentinel-1 imagery and its potential for humanitarian action.

Research output: Contribution to conference › Paper › peer-review

Original language	English
Publication status	Published - Jul 2023
Event	IEEE International Geoscience and Remote Sensing Symposium (2023) - Pasadena, United States Duration: 16 Jul 2023 → 21 Jul 2023

Conference	IEEE International Geoscience and Remote Sensing Symposium (2023)
Abbreviated title	IGARSS
Country/Territory	United States
City	Pasadena
Period	16/07/23 → 21/07/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

CDL gEOhum: CD Laboratory for geospatial and EO-based humanitarian technologies
Lang, S. (Principal Investigator), Füreder, P. (Co-Investigator), Wendt, L. (Co-Investigator), Schernthanner-Hofer, B. (Co-Investigator), Tiede, D. (Co-Investigator), Riedler, B. (Co-Investigator), Kienberger, S. (Co-Investigator), Streifeneder, V. (Co-Investigator), Dabiri, Z. (Co-Investigator), Jaggy, N. (Co-Investigator), Gella, G. W. (Co-Investigator), Petutschnig, L. (Co-Investigator) & Gao, Y. (Co-Investigator)
1/07/20 → 30/06/27
Project: Research

@conference{e47f85fe28024d60be2c44d15be3886b,

title = "Deep learning powered non-local speckle filtering of sentinel-1 imagery and its potential for humanitarian action.",

author = "Niklas Jaggy and Gella, \{Getachew Workineh\} and Zahra Dabiri and Stefan Lang and Lorenz Wendt and Andreas Braun",

year = "2023",

month = jul,

language = "English",

note = "IEEE International Geoscience and Remote Sensing Symposium (2023), IGARSS ; Conference date: 16-07-2023 Through 21-07-2023",

}

Deep learning powered non-local speckle filtering of sentinel-1 imagery and its potential for humanitarian action. / Jaggy, Niklas; Gella, Getachew Workineh ; Dabiri, Zahra et al.
2023. Paper presented at IEEE International Geoscience and Remote Sensing Symposium (2023), Pasadena, California, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Deep learning powered non-local speckle filtering of sentinel-1 imagery and its potential for humanitarian action.

AU - Jaggy, Niklas

AU - Gella, Getachew Workineh

AU - Dabiri, Zahra

AU - Lang, Stefan

AU - Wendt, Lorenz

AU - Braun, Andreas

PY - 2023/7

Y1 - 2023/7

M3 - Paper

T2 - IEEE International Geoscience and Remote Sensing Symposium (2023)

Y2 - 16 July 2023 through 21 July 2023

ER -