Wavelet based tone mapping (TM) enhancement to a detection system for faint and compact sources in HDR and large FOV radio scenes
文献类型：期刊论文
| 作者 | Shan, H.2,3 ; Cui, L.2,3; Hong, X. Y.1; Liu, X.2,3; Chang, N.2,3
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| 刊名 | ASTRONOMY AND COMPUTING
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| 出版日期 | 2023 |
| 卷号 | 42页码:15 |
| ISSN号 | 2213-1337 |
| 关键词 | Radio sources detection Detection criteria Tone mapping Wavelet Image enhancement Large field-of-view |
| DOI | 10.1016/j.ascom.2022.100684 |
| 通讯作者 | Shan, H.(shanhao@xao.ac.cn) |
| 英文摘要 | For high dynamic range (HDR) and large field-of-view (FOV) radio scenes, detection of faint sources with compact support and tiny sizes in comparatively extensive celestial areas is a challenging task. In the era of the Square Kilometer Array (SKA), it will be of particular concern, and data-targeted systematic methods are put on the agenda. This paper proposes a systematic method to solve this problem. From the perspective of image processing, a multiscale image contrast enhancement (ICE) is proposed to normalize the HDR. Source representation is realized by a starlet framework, where a two-step tone mapping (TM) including an arc-tangent function compression and an aggregated gain function enhancement are embedded. According to two bionic principles, the gain function is designed to highlight faint sources, remove artifacts (e.g., halos), and avoid feature distortions. For source detection, an integration method is proposed for projections between the celestial and the planar coordinate systems. It serves for coordinate transform and source location. A detection indicator system is built, and elaborate discrimination principles are drawn up. In the experiments, this method is dedicated to the dataset of the TIFR GMRT Sky Survey (TGSS) alternative data release 1 (ADR1) to facilitate the scientific goal of discovering new sources. Results show its advantages over the state of the art methods in visual inspections and detection ratios, and preliminarily prove that it has prospects for future HDR and large FOV radio data. (c) 2022 Elsevier B.V. All rights reserved. |
| WOS关键词 | DISCRETE OBJECT DETECTION ; BAYESIAN-APPROACH ; FIELD ; DECOMPOSITION ; PROBABILITY ; ALGORITHM ; SCIENCE ; IMAGES ; MODEL ; I. |
| 资助项目 | National Key RD Program[2018YFA0404602] ; NSFC, China[11673056] ; NSFC, China[11173042] ; NSFC, China[U2031212] ; NSFC, China[61931002] ; China Scholarship Council[201409655001] ; Xinjiang NSF, China[2018D01A24] ; CAS Light of West China Program[2021-XBQNXZ-05] ; Youth Innovation Promotion Association of the CAS, China[2017084] ; Operation, Maintenance and Upgrading Fund for Astronomical Telescopes and Facility Instruments ; Ministry of Finance of China |
| WOS研究方向 | Astronomy & Astrophysics ; Computer Science |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000916666800001 |
| 资助机构 | National Key RD Program ; NSFC, China ; China Scholarship Council ; Xinjiang NSF, China ; CAS Light of West China Program ; Youth Innovation Promotion Association of the CAS, China ; Operation, Maintenance and Upgrading Fund for Astronomical Telescopes and Facility Instruments ; Ministry of Finance of China |
| 源URL | [http://ir.xao.ac.cn/handle/45760611-7/5069]  |
| 专题 | 射电天文研究室_行星科学研究组 |
| 通讯作者 | Shan, H. |
| 作者单位 | 1.Chinese Acad Sci, Shanghai Astron Observ, 80 Nandan Rd, Shanghai 200030, Peoples R China 2.Xinjiang Key Lab Radio Astrophys, 150 Sci St 1st, Urumqi 830011, Peoples R China 3.Chinese Acad Sci, Xinjiang Astron Observ, 150 Sci St 1st, Urumqi 830011, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shan, H.,Cui, L.,Hong, X. Y.,et al. Wavelet based tone mapping (TM) enhancement to a detection system for faint and compact sources in HDR and large FOV radio scenes[J]. ASTRONOMY AND COMPUTING,2023,42:15. |
| APA | Shan, H.,Cui, L.,Hong, X. Y.,Liu, X.,&Chang, N..(2023).Wavelet based tone mapping (TM) enhancement to a detection system for faint and compact sources in HDR and large FOV radio scenes.ASTRONOMY AND COMPUTING,42,15. |
| MLA | Shan, H.,et al."Wavelet based tone mapping (TM) enhancement to a detection system for faint and compact sources in HDR and large FOV radio scenes".ASTRONOMY AND COMPUTING 42(2023):15. |
入库方式： OAI收割
来源：新疆天文台
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