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  • 标题:QUALITATIVE AND QUANTITATIVE ASSESSMENT OF HIGH RESOLUTION MULTISPECTRAL IMAGE USING FUSION TECHNIQUE BY MEASURING ENTROPY– A CASE STUDY USING QUICKBIRD DATASET
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  • 作者:R.N. Gaikwad ; J.R. Sharma ; V. Jayaraman
  • 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:2006
  • 卷号:XXXVI Part 4
  • 出版社:Copernicus Publications
  • 摘要:This paper presents the qualitative as well as quantitative assessment of high resolution image generated by fusion technique. The information contained in fused image measured and compared with different methods. Current satellites produce high resolution panchromatic but low resolution multispectral images. As for example, QuickBird satellites provide panchromatic image with 0.6 m resolution but multispectral image with 2.44m resolution. However high resolution multispectral images can be generated using resolution merge technique, which takes care of spatial as well as spectral resolution of the image. Information content in the high resolution panchromatic as well as low resolution multispectral image is preserved during the fusion of images. In this work image fusion is carried out by principal component analysis technique. Focal analys is technique is used to reduce the noise in input image before fusion. Fused image is generated by use of focal analysis technique and then compared using entropy with the fused image generated without removing noise of the input images
  • 关键词:Information; Fusion; Entropy; Quality; Noise
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