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  • 标题:A comparative case of study of image sharpening
  • 本地全文:下载
  • 作者:Victor F. Rodríguez Galiano ; E. Pardo-Igúzquiza ; M. Chica-Olmo
  • 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:2010
  • 卷号:XXXVIII - Part 7A
  • 页码:209-214
  • 出版社:Copernicus Publications
  • 摘要:In this paper we present a comparative case of study ofdifferentmethodologies for image sharpening.The evaluated methodologiesareclassic procedures such asBrovey (BR), Intensity Hue Saturation (FIHS), and Principal Component Analysis (PCA); twoprocedures based on wavelettransforms: Wavelet à Trous (WAT) and MultiDirection MultiResolution (MDMR); and one method ofa geostatistical nature, Downscaling Cokriging (DCK). The comparison of the fusedimagesis based on thequantitative evaluationof their spatial and spectral characteristics by calculating statistical indexes and parameters tomeasure the quality and coherence ofthe resulting images.Synthesis of the obtained results shows that the algorithm fusions based on wavelet and DCK yielded better results than did theclassical algorithms. Particularly, the DCK geostatistical methoddoes notintroduceartefacts in the estimation of the digital levelscorresponding with the source multispectral image and, in this sense, can be considered the most coherent method. The MDMRmethodproduces the merged imageswiththe highest spatial quality
  • 关键词:Statistics; Fusion; Algorithms; Landsat; Spatial
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