Interpretability of TerraSAR-X fused data

Pablo H. Rosso; Manfred Ehlers; Sascha Klonus

doi:10.1117/12.830528

7 October 2009 Interpretability of TerraSAR-X fused data

Pablo H. Rosso, Manfred Ehlers, Sascha Klonus

Proceedings Volume 7478, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX; 74780H (2009) https://doi.org/10.1117/12.830528
Event: SPIE Remote Sensing, 2009, Berlin, Germany

Abstract

Pansharpening is an image fusion technique that combines the spatial structure of a high resolution panchromatic image with the spectral information of a lower resolution multispectral image to produce a high resolution multispectral image. Image data of the new German RADAR satellite TerraSAR-X were used to sharpen optical multispectral data. To assess the advantages and limitations of fusion, the interpretability of terrain features at different image resolutions was determined. We concluded that a resolution ratio of 1:10 (TerraSAR:Multispectral) is optimal to benefit from the synergism of a SAR/multispectral fusion. Q index and an object-based classification were used to assess fusion quality and to compare their efficacy to determine the best fusion algorithms. Both approaches are appropriate methods to asses quality but only on judging some aspects of the fusion products. We conclude that a more comprehensive fusion quality assessment method still needs to be developed.

Citation Download Citation

Pablo H. Rosso, Manfred Ehlers, and Sascha Klonus "Interpretability of TerraSAR-X fused data", Proc. SPIE 7478, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX, 74780H (7 October 2009); https://doi.org/10.1117/12.830528

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available