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相关论文: Point Source Extraction with MOPEX

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High-quality astronomical images delivered by modern ground-based and space observatories demand adequate, reliable software for their analysis and accurate extraction of sources, filaments, and other structures, containing massive amounts…

天体物理仪器与方法 · 物理学 2021-05-26 A. Men'shchikov

We consider simultaneously identifying the membership and locations of point sources that are convolved with different low-pass point spread functions, from the observation of their superpositions. This problem arises in three-dimensional…

信息论 · 计算机科学 2015-04-24 Yuanxin Li , Yuejie Chi

Scene flow estimation aims to generate the 3D motion field of points between two consecutive frames of point clouds, which has wide applications in various fields. Existing point-based methods ignore the irregularity of point clouds and…

计算机视觉与模式识别 · 计算机科学 2025-01-22 Xuezhi Xiang , Xi Wang , Lei Zhang , Denis Ombati , Himaloy Himu , Xiantong Zhen

We review the well-known matched filter method for the detection of point sources in astronomical images. This is shown to be optimal (that is, to saturate the Cramer--Rao bound) under stated conditions that are very strong: an isolated…

天体物理仪器与方法 · 物理学 2021-01-01 Dustin Lang , David W. Hogg

We present the reduction of the 24 micron data obtained during the first cosmological survey performed by the Spitzer Space Telescope (First Look Survey, FLS). The survey consists of a shallow observation of 2.5x2 sq deg centered at 17h18m…

Precise knowledge of the point spread function (PSF) underpins many data analysis steps in astronomy, from photometry and astrometry to source de-blending and deconvolution. In adaptive optics (AO) observations, however, the PSF is highly…

天体物理仪器与方法 · 物理学 2026-04-02 Arseniy Kuznetsov , Benoit Neichel , Sylvain Oberti , Thierry Fusco

Point sources (PS) are one of the main contaminants to the recovery of the cosmic microwave background (CMB) signal at small scales, and their detection is important for the next generation of CMB experiments. We develop a method (PoSeIDoN)…

Point source detection techniques are used to identify and localise point sources in radio astronomical surveys. With the development of the Square Kilometre Array (SKA) telescope, survey images will see a massive increase in size from…

计算机视觉与模式识别 · 计算机科学 2022-02-09 Duncan Tilley , Christopher W. Cleghorn , Kshitij Thorat , Roger Deane

Procedures based on current methods to detect sources in X-ray images are applied to simulated XMM images. All significant instrumental effects are taken into account, and two kinds of sources are considered -- unresolved sources…

天体物理学 · 物理学 2009-11-06 I. Valtchanov , M. Pierre , R. Gastaud

Many problems on signal processing reduce to nonparametric function estimation. We propose a new methodology, piecewise convex fitting (PCF), and give a two-stage adaptive estimate. In the first stage, the number and location of the change…

统计方法学 · 统计学 2020-02-18 Kurt Riedel

Point source detection at low signal-to-noise is challenging for astronomical surveys, particularly in radio interferometry images where the noise is correlated. Machine learning is a promising solution, allowing the development of…

天体物理仪器与方法 · 物理学 2019-04-02 A. Vafaei Sadr , Etienne. E. Vos , Bruce A. Bassett , Zafiirah Hosenie , N. Oozeer , Michelle Lochner

In this work we present a new algorithm for data deconvolution that allows the retrieval of the target function with super-resolution with a simple approach that after a precis e measurement of the instrument response function (IRF), the…

计算机视觉与模式识别 · 计算机科学 2018-12-07 Sandra Martínez , Oscar E. Martínez

We consider the problem of resolving $ r$ point sources from $n$ samples at the low end of the spectrum when point spread functions (PSFs) are not known. Assuming that the spectrum samples of the PSFs lie in low dimensional subspace (let…

信息论 · 计算机科学 2021-09-07 Jinchi Chen , Weiguo Gao , Sihan Mao , Ke Wei

Photometric stereo is a technique aimed at determining surface normals through the utilization of shading cues derived from images taken under different lighting conditions. However, existing learning-based approaches often fail to…

计算机视觉与模式识别 · 计算机科学 2025-10-30 Shiyu Qin , Zhihao Cai , Kaixuan Wang , Lin Qi , Junyu Dong

Automatic extraction of raw data from 2D line plot images is a problem of great importance having many real-world applications. Several algorithms have been proposed for solving this problem. However, these algorithms involve a significant…

计算机视觉与模式识别 · 计算机科学 2021-02-12 Aalok Gangopadhyay , Prajwal Singh , Shanmuganathan Raman

Feature extraction is a very crucial task in image and pixel (voxel) classification and regression in biomedical image modeling. In this work we present a machine learning based feature extraction scheme based on inception models for pixel…

机器学习 · 统计学 2018-04-09 Giles Tetteh , Markus Rempfler , Bjoern H. Menze , Claus Zimmer

The Spectral and Photometric Imaging Receiver (SPIRE) was launched as one of the scientific instruments on board of the space observatory Herschel. The SPIRE photometer opened up an entirely new window in the Submillimeter domain for large…

In the current era of radio astronomy, continuum surveys observe a multitude of objects with complex morphologies and sizes, and are not limited to observing point sources. Typical radio source extraction software generates catalogues by…

星系天体物理 · 物理学 2019-06-14 C. L. Hale , A. S. G. Robotham , L. J. M. Davies , M. J. Jarvis , S. P. Driver , I. Heywood

This Point spread function (PSF) plays a crucial role in many computational imaging applications, such as shape from focus/defocus, depth estimation, and fluorescence microscopy. However, the mathematical model of the defocus process is…

计算机视觉与模式识别 · 计算机科学 2022-09-20 Renzhi He , Yan Zhuang , Boya Fu , Fei Liu

In this work we address the problem of simultaneous multi-frequency detection of extragalactic point sources in maps of the Cosmic Microwave Background. We apply a new linear filtering technique, the so called `matched matrix filters', that…

天体物理学 · 物理学 2009-11-13 D. Herranz , M. Lopez-Caniego , J. L. Sanz , J. Gonzalez-Nuevo