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

香港中文大學研究人員
替代計量分析
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其它資訊
摘要Image 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.
著者Chen Y., Fung T., Lin W., Wang J.
會議名稱2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005
會議開始日25.07.2005
會議完結日29.07.2005
會議地點Seoul
會議國家/地區韓國
詳細描述organized by IEEE ,
出版年份2005
月份12
日期1
卷號6
頁次3924 - 3927
國際標準書號0780390504
語言英式英語

上次更新時間 2020-23-10 於 00:47