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  • 标题:Development and Hardware Implementation of an Efficient Algorithm for Cloud Detection From Satellite Images
  • 本地全文:下载
  • 作者:Pooja Shah
  • 期刊名称:Signal & Image Processing : An International Journal (SIPIJ)
  • 印刷版ISSN:2229-3922
  • 电子版ISSN:0976-710X
  • 出版年度:2016
  • 卷号:7
  • 期号:2
  • 页码:73
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Detecting clouds in satellite imagery is becoming more important with increasing data availability whichare generated by earth observing satellites. Hence, intellectual processing of the enormous amount of datareceived by hundreds of earth receiving stations, with specific satellite image oriented approaches,presents itself as a pressing need. One of the most important steps in previous stages of satellite imageprocessing is cloud detection. While there are many approaches that compact with different semanticmeaning, there are rarely approaches that compact specifically with cloud and cloud cover detection. Inthis paper, the technique presented is the scene based adaptive cloud, cloud cover detection and find theposition with assumption of sun reflection, background varying and scattering are constant. The capabilityof the developed system was tested using dedicated satellite images and assessed in terms of cloudpercentage coverage. The system used for this process comprises of Intel(R) Xenon(R) CPU E31245 @3.30GHz processor along with MATLAB 13 software and DSPC6713 processor along with Code ComposeStudio 3.1.
  • 关键词:Satellite Images; Adaptive Cloud Detection Approach; MATLAB 13; TMS320C6713 DSK.
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