Improved neural networks based method for infrared focal plane arrays nonuniformity correction

Dongjie Tan; An Zhang

doi:10.1007/978-3-642-33478-8_13

Improved neural networks based method for infrared focal plane arrays nonuniformity correction

Dongjie Tan, An Zhang

School of Aeronautics

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The non-uniform response in infrared focal plane array (IRFPA) detectors produces corrupted images with a fixed pattern noise. In this study, an improved neural networks based method for nonuniformity correction (NUC) is presented. In the improved method, the correction process of neural networks is decomposed from one step to two steps to fine the correction results. Besides, it uses a local median value of each neuron's output as the desired output for each neuron. Experimental results show that the improved algorithm can eliminate fixed stripe noise and stochastic noise in raw images and make infrared images more slippery.

Original language	English
Title of host publication	Artificial Intelligence and Computational Intelligence - 4th International Conference, AICI 2012, Proceedings
Pages	97-104
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-33478-8_13
State	Published - 2012
Event	4th International Conference on Artificial Intelligence and Computational Intelligence, AICI 2012 - Chengdu, China Duration: 26 Oct 2012 → 28 Oct 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7530 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Conference on Artificial Intelligence and Computational Intelligence, AICI 2012
Country/Territory	China
City	Chengdu
Period	26/10/12 → 28/10/12

Keywords

infrared focal plane array
neural networks
nonuniformity correction

Access to Document

10.1007/978-3-642-33478-8_13

Cite this

Tan, D., & Zhang, A. (2012). Improved neural networks based method for infrared focal plane arrays nonuniformity correction. In Artificial Intelligence and Computational Intelligence - 4th International Conference, AICI 2012, Proceedings (pp. 97-104). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7530 LNAI). https://doi.org/10.1007/978-3-642-33478-8_13

Tan, Dongjie ; Zhang, An. / Improved neural networks based method for infrared focal plane arrays nonuniformity correction. Artificial Intelligence and Computational Intelligence - 4th International Conference, AICI 2012, Proceedings. 2012. pp. 97-104 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Improved neural networks based method for infrared focal plane arrays nonuniformity correction",

abstract = "The non-uniform response in infrared focal plane array (IRFPA) detectors produces corrupted images with a fixed pattern noise. In this study, an improved neural networks based method for nonuniformity correction (NUC) is presented. In the improved method, the correction process of neural networks is decomposed from one step to two steps to fine the correction results. Besides, it uses a local median value of each neuron's output as the desired output for each neuron. Experimental results show that the improved algorithm can eliminate fixed stripe noise and stochastic noise in raw images and make infrared images more slippery.",

keywords = "infrared focal plane array, neural networks, nonuniformity correction",

author = "Dongjie Tan and An Zhang",

year = "2012",

doi = "10.1007/978-3-642-33478-8_13",

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Tan, D & Zhang, A 2012, Improved neural networks based method for infrared focal plane arrays nonuniformity correction. in Artificial Intelligence and Computational Intelligence - 4th International Conference, AICI 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7530 LNAI, pp. 97-104, 4th International Conference on Artificial Intelligence and Computational Intelligence, AICI 2012, Chengdu, China, 26/10/12. https://doi.org/10.1007/978-3-642-33478-8_13

Improved neural networks based method for infrared focal plane arrays nonuniformity correction. / Tan, Dongjie; Zhang, An.
Artificial Intelligence and Computational Intelligence - 4th International Conference, AICI 2012, Proceedings. 2012. p. 97-104 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7530 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - The non-uniform response in infrared focal plane array (IRFPA) detectors produces corrupted images with a fixed pattern noise. In this study, an improved neural networks based method for nonuniformity correction (NUC) is presented. In the improved method, the correction process of neural networks is decomposed from one step to two steps to fine the correction results. Besides, it uses a local median value of each neuron's output as the desired output for each neuron. Experimental results show that the improved algorithm can eliminate fixed stripe noise and stochastic noise in raw images and make infrared images more slippery.

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Tan D, Zhang A. Improved neural networks based method for infrared focal plane arrays nonuniformity correction. In Artificial Intelligence and Computational Intelligence - 4th International Conference, AICI 2012, Proceedings. 2012. p. 97-104. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-33478-8_13

Improved neural networks based method for infrared focal plane arrays nonuniformity correction

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