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相关论文: High accuracy proper motions in crowded fields

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The ability to see around corners, i.e., recover details of a hidden scene from its reflections in the surrounding environment, is of considerable interest in a wide range of applications. However, the diffuse nature of light reflected from…

Image coaddition is one of the most basic operations that astronomers perform. In Paper~I, we presented the optimal ways to coadd images in order to detect faint sources and to perfrom flux measurements under the assumption that the noise…

天体物理仪器与方法 · 物理学 2018-03-28 Barak Zackay , Eran O. Ofek

Blended light is an important source of degeneracy in the characterization of microlensing events, particularly in binary-lens and high magnification events. We show how the techniques of image subtraction can be applied to form an image of…

天体物理学 · 物理学 2007-05-23 Andrew Gould , Jin H. An

This paper focuses on improving object detection performance by addressing the issue of image distortions, commonly encountered in uncontrolled acquisition environments. High-level computer vision tasks such as object detection,…

计算机视觉与模式识别 · 计算机科学 2024-04-15 Vamshi Krishna Kancharla , Neelam sinha

The principles of difference imaging outlined and the technique of Alard and Lupton (1997) is generalised to generate the best possible difference images to within the limits of measurement error. It is shown how for a large database of…

天体物理学 · 物理学 2007-05-23 Austin B. Tomaney

In the process of parametric optical image amplification, images are formed at new frequencies in addition to the amplified original image. We show that the parametric multiplexing of optical images can be used to produce an image with…

量子物理 · 物理学 2019-03-27 D. A. Balakin , A. S. Chirkin

Precise photometric and astrometric measurements on astronomical images require an accurate knowledge of the Point Spread Function (PSF). When the PSF cannot be modelled directly from the image, PSF-reconstruction techniques become the only…

天体物理仪器与方法 · 物理学 2020-02-05 D. Massari , A. Marasco , O. Beltramo-Martin , J. Milli , G. Fiorentino , E. Tolstoy , F. Kerber

Angular differential imaging (ADI) (Marois et al. 2006) is an observational technique in high contrast imaging where the telescope is used in pupil tracking mode so that the image of the sky rotates with respect to the optical surfaces.…

地球与行星天体物理 · 物理学 2017-11-28 Michael Bottom , Garreth Ruane , Dimitri Mawet

Image distortion due to weak gravitational lensing is examined using a non-perturbative method of integrating the geodesic deviation and optical scalar equations along the null geodesics connecting the observer to a distant source. The…

广义相对论与量子宇宙学 · 物理学 2011-09-28 Thomas P. Kling , Louis Bianchini

Image deblurring is an economic way to reduce certain degradations (blur and noise) in acquired images. Thus, it has become essential tool in high resolution imaging in many applications, e.g., astronomy, microscopy or computational…

最优化与控制 · 数学 2017-05-19 Rahul Mourya , André Ferrari , Rémi Flamary , Pascal Bianchi , Cédric Richard

The need for high dynamic range imaging is crucial in many astronomical fields, such as extra-solar planet direct detection, extra-galactic science and circumstellar imaging. Using a high quality coronograph, dynamic ranges of up to…

天体物理学 · 物理学 2016-08-30 F. Malbet , J. W. Yu , M. Shao

We proposed a method to achieve superresolved optical imaging without beating the diffraction limit of light. This is achieved by magnifying the ideal optical image of the object through higher-order spatial frequency generation while…

光学 · 物理学 2016-08-08 Zhixiang Li , Jianji Liu , Guoquan Zhang

Optical/infrared photometry can double the number of proper motion measurements of Massive Compact Objects (MACHOs) relative to single band photometry. The proper motion of a MACHO can be measured by finding the ratio $q$ of the (known)…

天体物理学 · 物理学 2009-10-28 Andrew Gould , Douglas L. Welch

Object detection and semantic segmentation are two of the most widely adopted deep learning algorithms in agricultural applications. One of the major sources of variability in image quality acquired in the outdoors for such tasks is…

计算机视觉与模式识别 · 计算机科学 2022-03-29 Abhisesh Silwal , Tanvir Parhar , Francisco Yandun , George Kantor

A critical analysis and comparison of different methods for obtaining point spread function (PSF) photometry are carried out. Deep ACS observations of NGC3370 were reduced using four distinct approaches. These reductions explore a number of…

星系天体物理 · 物理学 2023-03-08 In Sung Jang

We study the impact of the atmospheric differential chromatic refraction on the measurements and precision of relative astrometry. Specifically, we address the problem of measuring the separations of close pairs of binary stars with…

天体物理学 · 物理学 2009-11-13 Krzysztof G. Hełminiak

This study explores the use of photometric techniques (shape-from-shading and uncalibrated photometric stereo) for upsampling the low-resolution depth map from an RGB-D sensor to the higher resolution of the companion RGB image. A…

计算机视觉与模式识别 · 计算机科学 2019-06-26 Bjoern Haefner , Songyou Peng , Alok Verma , Yvain Quéau , Daniel Cremers

Segmentation in dynamic outdoor environments can be difficult when the illumination levels and other aspects of the scene cannot be controlled. Specifically in orchard and vineyard automation contexts, a background material is often used to…

计算机视觉与模式识别 · 计算机科学 2018-04-04 Amy Tabb , Henry Medeiros

In its Campaign 9, K2 observed dense regions toward the Galactic bulge in order to constrain the microlensing parallaxes and probe for free-floating planets. Photometric reduction of the \emph{K2} bulge data poses a significant challenge…

天体物理仪器与方法 · 物理学 2019-07-15 R. Poleski , M. Penny , B. S. Gaudi , A. Udalski , C. Ranc , G. Barentsen , A. Gould

Large-scale astronomical surveys can capture numerous images of celestial objects, including galaxies and nebulae. Analysing and processing these images can reveal intricate internal structures of these objects, allowing researchers to…

天体物理仪器与方法 · 物理学 2023-11-02 Peng Jia , Jiameng Lv , Runyu Ning , Yu Song , Nan Li , Kaifan Ji , Chenzhou Cui , Shanshan Li