白天短波红外自适应光学加权自阈值局部对比方法

IF 2.3 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Photonics Technology Letters Pub Date : 2025-04-10 DOI:10.1109/LPT.2025.3559625

Minglu Li;Kainan Yao;Lu Chen;Hongzhuang Li;Yatian Li;Liduo Liu;Yihe Li;Han Cao

{"title":"白天短波红外自适应光学加权自阈值局部对比方法","authors":"Minglu Li;Kainan Yao;Lu Chen;Hongzhuang Li;Yatian Li;Liduo Liu;Yihe Li;Han Cao","doi":"10.1109/LPT.2025.3559625","DOIUrl":null,"url":null,"abstract":"To achieve high-resolution imaging during daytime, we designed a short-wave infrared adaptive optics (SWIR AO) system utilizing the Shack-Hartmann wavefront sensor (SHWS). A weighted self-thresholding local contrast algorithm is proposed to minimize complex background and pixel-sized noise with high brightness (PNHB) in real-time applications. The algorithm effectively suppresses interference while enhancing the signal-to-noise ratio (SNR). The simulations show a higher robustness and lower centroid estimation error, than the traditional algorithm. Further, field experiments were also carried out. Deployed on our SWIR AO of a 4-m telescope, the proposed algorithm yielded a 30-fold peak SNR boost for HIP11698 (6.2Mv), from below 0.28 to 8.49, when the elevation angle of the sun was 37.1°.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"37 14","pages":"765-768"},"PeriodicalIF":2.3000,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Weighted Self-Threshold Local Contrast Method for Daytime Shortwave Infrared Adaptive Optics\",\"authors\":\"Minglu Li;Kainan Yao;Lu Chen;Hongzhuang Li;Yatian Li;Liduo Liu;Yihe Li;Han Cao\",\"doi\":\"10.1109/LPT.2025.3559625\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To achieve high-resolution imaging during daytime, we designed a short-wave infrared adaptive optics (SWIR AO) system utilizing the Shack-Hartmann wavefront sensor (SHWS). A weighted self-thresholding local contrast algorithm is proposed to minimize complex background and pixel-sized noise with high brightness (PNHB) in real-time applications. The algorithm effectively suppresses interference while enhancing the signal-to-noise ratio (SNR). The simulations show a higher robustness and lower centroid estimation error, than the traditional algorithm. Further, field experiments were also carried out. Deployed on our SWIR AO of a 4-m telescope, the proposed algorithm yielded a 30-fold peak SNR boost for HIP11698 (6.2Mv), from below 0.28 to 8.49, when the elevation angle of the sun was 37.1°.\",\"PeriodicalId\":13065,\"journal\":{\"name\":\"IEEE Photonics Technology Letters\",\"volume\":\"37 14\",\"pages\":\"765-768\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Photonics Technology Letters\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10962167/\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Photonics Technology Letters","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10962167/","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

摘要

为了在白天实现高分辨率成像，我们利用Shack-Hartmann波前传感器（SHWS）设计了一种短波红外自适应光学（SWIR AO）系统。针对实时应用中复杂背景和高亮度像素级噪声的最小化问题，提出了一种加权自阈值局部对比度算法。该算法在有效抑制干扰的同时提高了信噪比。仿真结果表明，该算法具有较好的鲁棒性和较低的质心估计误差。此外，还进行了田间试验。在4米望远镜的SWIR AO上，当太阳仰角为37.1°时，该算法将HIP11698 （6.2Mv）的峰值信噪比从低于0.28提高到8.49，提高了30倍。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Weighted Self-Threshold Local Contrast Method for Daytime Shortwave Infrared Adaptive Optics

To achieve high-resolution imaging during daytime, we designed a short-wave infrared adaptive optics (SWIR AO) system utilizing the Shack-Hartmann wavefront sensor (SHWS). A weighted self-thresholding local contrast algorithm is proposed to minimize complex background and pixel-sized noise with high brightness (PNHB) in real-time applications. The algorithm effectively suppresses interference while enhancing the signal-to-noise ratio (SNR). The simulations show a higher robustness and lower centroid estimation error, than the traditional algorithm. Further, field experiments were also carried out. Deployed on our SWIR AO of a 4-m telescope, the proposed algorithm yielded a 30-fold peak SNR boost for HIP11698 (6.2Mv), from below 0.28 to 8.49, when the elevation angle of the sun was 37.1°.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

IEEE Photonics Technology Letters 工程技术-工程：电子与电气

CiteScore

5.00

自引率

3.80%

发文量

404

审稿时长

2.0 months

期刊介绍： IEEE Photonics Technology Letters addresses all aspects of the IEEE Photonics Society Constitutional Field of Interest with emphasis on photonic/lightwave components and applications, laser physics and systems and laser/electro-optics technology. Examples of subject areas for the above areas of concentration are integrated optic and optoelectronic devices, high-power laser arrays (e.g. diode, CO2), free electron lasers, solid, state lasers, laser materials'' interactions and femtosecond laser techniques. The letters journal publishes engineering, applied physics and physics oriented papers. Emphasis is on rapid publication of timely manuscripts. A goal is to provide a focal point of quality engineering-oriented papers in the electro-optics field not found in other rapid-publication journals.