Yingjian Liu

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Localization is one of the most fundamental problems in ocean sensor networks. Current localization algorithms mainly focus on how to localize as many sensors as possible given a set of mobile or static anchor nodes and distance measurements. In this paper, we consider the optimization problem, minimum cost localization problem in a 3D ocean sensor network,(More)
Internet of Things (IoT) can provide interconnection of things, which can promote the achievement of the remote human health monitoring. In this paper, a human health monitoring platform is designed and developed under the application framework of body sensor network of IoT. The platform can collect the physical information of user by constructing the human(More)
  • Yingjian Liu
  • Fifth World Congress on Intelligent Control and…
  • 2004
An automatic system based on localized Radon transform was proposed for detecting ship wakes in SAR images. Ship pixels in SAR image were masked out during pre-process in order to eliminate their own disturbance. Then localized Radon transform windows around ship targets were selected. At last, normalized line integrals were calculated within the localized(More)
Ship detection involves two correlated tasks — ship target detection and ship wake detection. This paper proposes a method for automatic ship wake detection from SAR image. A localized Radon transform is processed around the ship target to detect linear features after ship target detection. It can smooth the speckle noise and improve the SNR in Radon(More)