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Image-to-image-translation to support the interpretation of SAR imagery

Fuentes Reyes, Mario (2018) Image-to-image-translation to support the interpretation of SAR imagery. Master's, Technische Universität München.

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Abstract

SAR imagery is nowadays a common source of data in the remote sensing field. Its weather independence working mode and capabilities to measure the 3D profiles of the surfaces are some of its main advantages. However, interpretation of the images produced by this sensor are not easy to interpret as optical imagery. Moreover, the speckle effect produced due to its measurement nature looks like granular noise and degrades the quality of the images. Research conducted during the last years in the area of conditional generative adversarial networks show a feasible approach to process images and learn transfer functions between two different domains. This strategy has been already applied to remote sensing tasks and even to SAR pictures. By using SAR and optical imagery as our input domains, we conduct experiments to generate complementary images that facilitate the interpretation of the original SAR imagery files. Obtained results are not only improved by the remotion of speckle effect, but present optical-like features easier to comprehend by the users.

Item URL in elib:https://elib.dlr.de/124003/
Document Type:Thesis (Master's)
Title:Image-to-image-translation to support the interpretation of SAR imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Fuentes Reyes, MarioUNSPECIFIEDUNSPECIFIED
Date:December 2018
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:86
Status:Published
Keywords:Deep Learning, Synthetic Aperture Radar, Interpretation
Institution:Technische Universität München
Department:Signal Processing in Earth Observation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Auer, Dr. Stefan
Deposited On:01 Feb 2019 12:05
Last Modified:01 Feb 2019 12:07

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