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  • 标题:Quickbird Imagery Processing For The Extraction Of Archaeological Features: Performance From Data Fusion Algorithms
  • 本地全文:下载
  • 作者:N. Masini ; R. Lasaponara
  • 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-5/C53
  • 出版社:Copernicus Publications
  • 摘要:The application of data fusion techniques to very high resolution (VHR) satellite data can fruitfully improve the enhancement of archaeological marks and facilitate their detection. Nevertheless, the quantitative evaluation of the quality of the fused images is one the most crucial aspects in the context of data fusion. This issue is particularly relevant in the case of the identification of archaeological marks, because (i) data fusion application is a rather recent topic approached in the field of remote sensing of archaeology (Lasaponara and Masini, 2006, 20007); (ii) the criteria generally adopted for the data fusion evaluation can not fit the needs of remote sensing archaeology. This paper deals with the quantitative evaluation of data fusion algorithms in sharpening archaeological marks focusing on data fusion capability in (i) preserving spectral fidelity and (ii) sharpening spatial and textural content
  • 关键词:Remote Sensing; Archaeology; QuickBird; Satellite; High resolution; Multispectral; Identification; Processing
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