Fusion of terrasar-x and rapideye data: a quality analysis
This research compares and evaluates image fusion algorithms to achieve spatially improved images while preserving the spectral information. In order to compare the performance of fusion techniques both active and passive images were used. As an active image a high resolution, X-band, VV polarized T...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2013-10-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W2/27/2013/isprsarchives-XL-7-W2-27-2013.pdf |
Summary: | This research compares and evaluates image fusion algorithms to achieve spatially improved images while preserving the spectral
information. In order to compare the performance of fusion techniques both active and passive images were used. As an active image
a high resolution, X-band, VV polarized TerraSAR-X data and as a multispectral image RapidEye data were used. RapidEye
provides five optical bands in the 400–850 nm range and it is the first space-borne sensor which operationally gathers the red edge
spectrum (690–730 nm) besides the standard channels of multi-spectral satellite sensors. The selected study area is in the low lands
of Menemen (Izmir) Plain on the west of Gediz Basin covering both agricultural fields and residential areas. For the quality analysis,
Adjustable SAR-MS Fusion (ASMF), Ehlers fusion and High Pass Filtering (HPF) approaches were investigated. In this study
preliminary results of selected image fusion methods were given. The quality of the fused images was assessed with qualitative and
quantitative analyses. For the qualitative analysis visual comparison was applied using different band combinations of fused image
and original multispectral Rapid-Eye image. In the merged images color distortions regarding to SAR-optical synergy were
investigated. Statistical analysis was carried out as quantitative analyses. In this respect Correlation Coefficient (CC), Standard
Deviation Difference (SDD), Universal Image Quality Index (UIQI) and Root Mean Square Error (RMSE) were performed for
quality assessments. In general HPF was performed best while ASMF was performed the worst in all results. |
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ISSN: | 1682-1750 2194-9034 |