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  • 标题:A Survey on Assessing Reconstructability of Shadow Areas in VHR Images
  • 本地全文:下载
  • 作者:Amruta Lambe ; Pravin Ghewari
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2016
  • 卷号:5
  • 期号:8
  • 页码:14951
  • DOI:10.15680/IJIRSET.2016.0508124
  • 出版社:S&S Publications
  • 摘要:VHR pictures are acknowledged for their abnormal state subtle elements, which significantly build theirapplication potential. In any case, normally, VHR pictures are influenced by the vicinity of shadows. An endeavouranswer for the issue of shadows is to restore shadow areas by reparing the estimation of shaded pixels. Unfortunately, itmight happen that not all shadow zones are conceivable to restore. In this paper, we propose distinctive criteriavaluable to help in comprehension from the earlier in the event that it is conceivable or not to remake a specific shadowregion. A perfect reconstructability rule ought not endure that an unreconstructable shadow territory is allotted asreconstructable and, in the meantime, ought to augment the likelihood of discovery of reconstructable zones. A fewassessment criteria working at the pixel and textural levels are introduced.
  • 关键词:Very high resolution (VHR) images; Shadow detection; Shadow Reconstruction.
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