An image fusion method based on object-oriented image classification
Refereed conference paper presented and published in conference proceedings

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AbstractImage fusion at pixel level without precise registration always causes pseudo colors and other problem. Classification-based fusion scheme can effectively eliminate the false color at the edge of objective. However, the traditional per-pixel classification results in the well-known salt and pepper effect. The only way to smooth the image is to use filters, while impacted on the result of fusion. This paper proposes a method consist of a sequential application of segmentation, classification and fusion techniques. First, the image was multi-resolutely segmented into "homogenous" areas, and classified it by using the membership functions classifier and additional empirical rules. Subsequently, according to the restriction of the precise classification result, adjusting the multi-spectral image then achieved the fusion by using HSV color transformation. Finally, after compared the statistical properties of the fusion result by different methods, the proposed method showed satisfied result. © 2005 IEEE.
All Author(s) ListChen Y., Fung T., Lin W., Wang J.
Name of Conference2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005
Start Date of Conference25/07/2005
End Date of Conference29/07/2005
Place of ConferenceSeoul
Country/Region of ConferenceSouth Korea
Detailed descriptionorganized by IEEE ,
Volume Number6
Pages3924 - 3927
LanguagesEnglish-United Kingdom

Last updated on 2020-12-09 at 01:57