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SAR-Sharpening in the Kennaugh Framework applied to the Fusion of Multi-Modal SAR and Optical Images

Schmitt, Andreas and Wendleder, Anna (2018) SAR-Sharpening in the Kennaugh Framework applied to the Fusion of Multi-Modal SAR and Optical Images. In: ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, pp. 133-140. TCI Mid-term Symposium, 10.-12.Okt. 2018, Karlsuhe, Germany. DOI: 10.5194/isprs-annals-IV-1-133-2018

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Official URL: https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-1/133/2018/

Abstract

The Kennaugh framework turned out to be a powerful tool for the preparation of multi-sensor SAR data during the last years. Using intensity-based (an-) isotropic diffusion algorithms like the Multi-scale Multi-looking or the Schmittlets, even robust pre-classification change detection from multi-polarized images is enabled. The only missing point so far, namely the integration of multi-mode SAR data in one image, is accomplished in this article. Furthermore, the Kennaugh decomposition is extended to multi-spectral data as well. Hence, arbitrary Kennaugh elements, be it from SAR or optical images, can be fused. The mathematical description of the most general image fusion is derived and applied to four scenarios. The validation section considers the distribution of mean and gradient in the original and the fused images by the help of scatter plots. The results prove that the fused images adopt the spatial gradient of the input image with a higher geometric resolution and preserve the local mean of the input image with a higher polarimetric and thus also radiometric resolution. Regarding the distribution of the entropy and alpha angle, the fused images are always characterized by a higher variance in the entropy-alpha-plane and therewith, a higher resolution in the polarimetric domain. The proposed algorithm guarantees optimal information integration while ensuring the separation of intensity and polarimetric/spectral information. The Kennaugh framework is ready now to be used for the sharpening of multi-sensor image data in the spatial, radiometric, polarimetric, and even spectral domain.

Item URL in elib:https://elib.dlr.de/122537/
Document Type:Conference or Workshop Item (Speech)
Title:SAR-Sharpening in the Kennaugh Framework applied to the Fusion of Multi-Modal SAR and Optical Images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schmitt, Andreasandreas.schmitt (at) hm.eduUNSPECIFIED
Wendleder, AnnaAnna.Wendleder (at) dlr.deUNSPECIFIED
Date:2018
Journal or Publication Title:ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:IV-1
DOI :10.5194/isprs-annals-IV-1-133-2018
Page Range:pp. 133-140
Series Name:ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.
Status:Published
Keywords:SAR, Optical, Image fusion, Image sharpening, Polarimetry, Multispectral imaging, Multi-sensor data fusion
Event Title:TCI Mid-term Symposium
Event Location:Karlsuhe, Germany
Event Type:international Conference
Event Dates:10.-12.Okt. 2018
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 - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Wendleder, Anna
Deposited On:05 Nov 2018 13:30
Last Modified:31 Jul 2019 20:20

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