When to fuse what? random forest based fusion of low-, mid-, and high-level information for land cover classification from optical and SAR images | IEEE Conference Publication | IEEE Xplore

When to fuse what? random forest based fusion of low-, mid-, and high-level information for land cover classification from optical and SAR images


Abstract:

With increasing availability of different sensors for earth observation, data fusion gained more and more importance. While previous publications focussed on new sensor c...Show More

Abstract:

With increasing availability of different sensors for earth observation, data fusion gained more and more importance. While previous publications focussed on new sensor combinations, new fusion techniques, or new applications, this work investigates at which stage of the image analysis pipeline the fusion process is most beneficial. The fusion of an optical and a SAR image for the task of land cover classification serves as an example. The experimental results indicate, that although the fusion of complementary data is generally advantageous, it is most helpful at later stages of the classification process.
Date of Conference: 10-15 July 2016
Date Added to IEEE Xplore: 03 November 2016
ISBN Information:
Electronic ISSN: 2153-7003
Conference Location: Beijing, China

References

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