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Mapping without the sun
Zhang, Jixian


Table 1 the SS and test result for each ground object type
As shown in the Table 1, the fusion image of airborne SAR and
multi-spectral SPOT5 has a better-recognized capability for the
types of trees, land use, and road, with an obvious
improvement in the fusion image than the original images. On
the contrary, for the types of water and buildings, there is no
better enhancement effect than the original images. And
meanwhile, the CFQ value is close to 1, implying that the
fusion image has got a good effect synthetically, adapt to
recognize many types of ground objects for human visual
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In this paper, a comprehensive fusion image quality evaluation
model has been proposed to mainly discuss the interpret effect
for many types of ground objects in fusion result image. For
the original images, high-resolution airborne SAR and SPOT5
data, some types of ground objects are easily to be recognized
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function for human visual system. That is to say, different
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