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  • 标题:Performance analysis of image fusion techniques by image segmentation
  • 本地全文:下载
  • 作者:Maddala Malleswari B.L. Seetha ; I.V. MuraliKrishna ; B.L. Deekshathulu
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2007
  • 卷号:XXXVI-2/C43
  • 出版社:Copernicus Publications
  • 摘要:In remote sensing, the satellite images acquired form sensors exhibit either good spectral characteristics (multispectral data) or high spatial characteristics (panchromatic data). Image fusion is required to increase the interpretation quality of images. In this paper an attempt is made to obtain the objective measurements using content based segmentation for evaluating the performance of the fused images. The spectral and spatial changes for each region between the original multispectral image and the fused image are used to assess the performance of the fusion technique. A few commonly used fusion techniques such as Principal component analysis, Multiplicative merge, Brovey transform and Lifting Wavelet transform are evaluated using the proposed approach. The results show that the content based segmentation is objective and do not require any priori information. The performance evaluation proves that Lifting Wavelet transform outperforms the other fusion techniques
  • 关键词:image fusion; content dependent quality; performance; Lifting wavelet transform; image ; segmentation
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