Binary Spatial Random Field Reconstruction from Non-Gaussian Inhomogeneous Time-series Observations
基于非高斯非齐次时间序列观测重建二值空间随机场
We develop a new model for spatial random field reconstruction of a binary-valued spatial phenomenon. In our model, sensors are deployed in a wireless sensor network across a large geographical region. Each sensor measures a non-Gaussian inhomogeneous temporal process which depends on the spatial phenomenon. Two types of sensors are employed: one collects point observations at specific time points, while the other collects integral observations over time intervals.…