Paper
7 September 2006 A crossing path scene-based algorithm for nonuniformity correction in focal-plane array sensors
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Abstract
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Li-quan Dong, Wei-qi Jin, Jing Sui, and Xiaoxiao Zhou "A crossing path scene-based algorithm for nonuniformity correction in focal-plane array sensors", Proc. SPIE 6294, Infrared and Photoelectronic Imagers and Detector Devices II, 62940C (7 September 2006); https://doi.org/10.1117/12.679331
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Nonuniformity corrections

Staring arrays

Image segmentation

Algorithm development

Motion estimation

Detection and tracking algorithms

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