A Crossing Path Scene-Based Algorithm for Non-uniformity Correction in Focal-Plane Array Sensors

摘要

A recently developed scene-based nonuniformity correction algorithm for focal plane array (FPA) sensors named Crossing Path Scene-Based Algorithm (CPSBA) is present. The goal of this thesis is to design and evaluate scene-based nonuniformity correction algorithms that are able to suppress fixed pattern noise without need for external hardware such as temperature reference equipment. In particular, algorithms should be able to accurately estimate motion between images and use this knowledge to improve performance. The algorithms have been tested by using real image data from existing infrared imaging systems with good results.