Night Vision Processing and Understanding

• Main Authors: Bai, Lianfa (Author, http://id.loc.gov/vocabulary/relators/aut), Han, Jing (http://id.loc.gov/vocabulary/relators/aut), Yue, Jiang (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Optical data processing.; Data mining.; Global analysis (Mathematics).; Manifolds (Mathematics).; Algorithms.; Artificial intelligence.; Image Processing and Computer Vision.; Data Mining and Knowledge Discovery.; Global Analysis and Analysis on Manifolds.; Artificial Intelligence.

This book systematically analyses the latest insights into night vision imaging processing and perceptual understanding as well as related theories and methods. The algorithm model and hardware system provided can be used as the reference basis for the general design, algorithm design and hardware d...

Table of Contents:

• 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.