Introduction.- High Snr Hyperspectral Night Vision Image Acquisition with Multiplexing.- Multi-Visual Task Based on Night Vision Data Structure and Feature Analysis.- Feature Classification Based on Manifold Dimension Reduction for Night Vision Images.- Night Vision Data Classification Based on Sparse Representation and Random Subspace.- Learning Based Night Vision Image Recognition and Object Detection.- Non-Learning Based Motion Cognitive Detection and Self-Adaptable Tracking for Night Vision Videos.- The Colorization of Low Light Level Image Based on the Rule Mining.