Sdebrisnet: a spatial-temporal saliency network for space debris detection

HIGHLIGHTS

• who: Jiang Tao et al. from the Department of Aerospace Control, Nanjing University of Aeronautics and Astronautics have published the research work: SDebrisNet: A Spatial-Temporal Saliency Network for Space Debris Detection, in the Journal: (JOURNAL)
• what: The authors propose a space saliency algorithm called SDebrisNet. The main focus of this paper is object extraction; a simple centroid computational method was adopted to evaluate the proposed object extraction method. To solve these difficulties, the authors propose a novel spatial-temporal saliency method called SDebrisNet for detecting space debris in satellite videos; it uses lightweight atrous . . .
  

   

  

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