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A Practical Method for Blind Pixel Detection for the Push-Broom Thermal-Infrared Hyperspectral Imager

Thermal infrared hyperspectral imager is one of the frontier payloads in current hyperspectral remote sensing research. It has broad application prospects in land and ocean temperature inversion, environmental monitoring, and other fields. However, due to the influence of the production process of t...

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Autores principales: Liu, Bingxin, Du, Yulong, Liu, Chengyu, Li, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572967/
https://www.ncbi.nlm.nih.gov/pubmed/36236502
http://dx.doi.org/10.3390/s22197403
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author Liu, Bingxin
Du, Yulong
Liu, Chengyu
Li, Ying
author_facet Liu, Bingxin
Du, Yulong
Liu, Chengyu
Li, Ying
author_sort Liu, Bingxin
collection PubMed
description Thermal infrared hyperspectral imager is one of the frontier payloads in current hyperspectral remote sensing research. It has broad application prospects in land and ocean temperature inversion, environmental monitoring, and other fields. However, due to the influence of the production process of the infrared focal plane array and the characteristics of the material itself, the infrared focal plane array inevitably has blind pixels, resulting in spectral distortion of the data or even invalid data, which limits the application of thermal infrared hyperspectral data. Most of the current blind pixels detection methods are based on the spatial dimension of the image, that is, processing single-band area images. The push-broom thermal infrared hyperspectral imager works completely different from the conventional area array thermal imager, and only one row of data is obtained per scan. Therefore, the current method cannot be directly applied to blind pixels detection of push-broom thermal infrared hyperspectral imagers. Based on the imaging principle of push-broom thermal infrared hyperspectral imager, we propose a practical blind pixels detection method. The method consists of two stages to detect and repair four common types of blind pixels: dead pixel, dark current pixel, blinking pixel, and noise pixel. In the first stage, dead pixels and dark current pixels with a low spectral response rate are detected by spectral filter detection; noise pixels are detected by spatial noise detection; and dark current pixels with a negative response slope are detected by response slope detection. In the second stage, according to the random appearance of blinking pixels, spectral filter detection is used to detect and repair spectral anomalies caused by blinking pixels line by line. In order to verify the effectiveness of the proposed method, a flight test was carried out, using the Airborne Thermal-infrared Hyperspectral Imaging System (ATHIS), the latest thermal infrared imager in China, for data acquisition. The results show that the method proposed in this paper can accurately detect and repair blind pixel, thus effectively eliminating spectral anomalies and significantly improving image quality.
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spelling pubmed-95729672022-10-17 A Practical Method for Blind Pixel Detection for the Push-Broom Thermal-Infrared Hyperspectral Imager Liu, Bingxin Du, Yulong Liu, Chengyu Li, Ying Sensors (Basel) Article Thermal infrared hyperspectral imager is one of the frontier payloads in current hyperspectral remote sensing research. It has broad application prospects in land and ocean temperature inversion, environmental monitoring, and other fields. However, due to the influence of the production process of the infrared focal plane array and the characteristics of the material itself, the infrared focal plane array inevitably has blind pixels, resulting in spectral distortion of the data or even invalid data, which limits the application of thermal infrared hyperspectral data. Most of the current blind pixels detection methods are based on the spatial dimension of the image, that is, processing single-band area images. The push-broom thermal infrared hyperspectral imager works completely different from the conventional area array thermal imager, and only one row of data is obtained per scan. Therefore, the current method cannot be directly applied to blind pixels detection of push-broom thermal infrared hyperspectral imagers. Based on the imaging principle of push-broom thermal infrared hyperspectral imager, we propose a practical blind pixels detection method. The method consists of two stages to detect and repair four common types of blind pixels: dead pixel, dark current pixel, blinking pixel, and noise pixel. In the first stage, dead pixels and dark current pixels with a low spectral response rate are detected by spectral filter detection; noise pixels are detected by spatial noise detection; and dark current pixels with a negative response slope are detected by response slope detection. In the second stage, according to the random appearance of blinking pixels, spectral filter detection is used to detect and repair spectral anomalies caused by blinking pixels line by line. In order to verify the effectiveness of the proposed method, a flight test was carried out, using the Airborne Thermal-infrared Hyperspectral Imaging System (ATHIS), the latest thermal infrared imager in China, for data acquisition. The results show that the method proposed in this paper can accurately detect and repair blind pixel, thus effectively eliminating spectral anomalies and significantly improving image quality. MDPI 2022-09-29 /pmc/articles/PMC9572967/ /pubmed/36236502 http://dx.doi.org/10.3390/s22197403 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Bingxin
Du, Yulong
Liu, Chengyu
Li, Ying
A Practical Method for Blind Pixel Detection for the Push-Broom Thermal-Infrared Hyperspectral Imager
title A Practical Method for Blind Pixel Detection for the Push-Broom Thermal-Infrared Hyperspectral Imager
title_full A Practical Method for Blind Pixel Detection for the Push-Broom Thermal-Infrared Hyperspectral Imager
title_fullStr A Practical Method for Blind Pixel Detection for the Push-Broom Thermal-Infrared Hyperspectral Imager
title_full_unstemmed A Practical Method for Blind Pixel Detection for the Push-Broom Thermal-Infrared Hyperspectral Imager
title_short A Practical Method for Blind Pixel Detection for the Push-Broom Thermal-Infrared Hyperspectral Imager
title_sort practical method for blind pixel detection for the push-broom thermal-infrared hyperspectral imager
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572967/
https://www.ncbi.nlm.nih.gov/pubmed/36236502
http://dx.doi.org/10.3390/s22197403
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