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Related papers: High-Contrast Integral Field Spectrograph (HCIFS):…

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The perception of flicker has been a prominent concern in illumination and electronic display fields for over a century. Traditional approaches often rely on Critical Flicker Frequency (CFF), primarily suited for high-contrast (full-on,…

Graphics · Computer Science 2025-03-24 Yancheng Cai , Ali Bozorgian , Maliha Ashraf , Robert Wanat , Rafał K. Mantiuk

(Abridged) We describe a new method to extract spectra of stars from observations of crowded stellar fields with integral field spectroscopy (IFS). Our approach extends the well-established concept of crowded field photometry in images into…

Instrumentation and Methods for Astrophysics · Physics 2015-06-12 Sebastian Kamann , Lutz Wisotzki , Martin M. Roth

Context. The next generation of space-borne instruments dedicated to the direct detection of exoplanets requires unprecedented levels of wavefront control precision. Coronagraphic wavefront sensing techniques for these instruments must…

Instrumentation and Methods for Astrophysics · Physics 2018-07-20 Olivier Herscovici-Schiller , Laurent M. Mugnier , Pierre Baudoz , Raphaël Galicher , Jean-François Sauvage , Baptiste Paul

SCALES (Slicer Combined with Array of Lenslets for Exoplanet Spectroscopy) is a 2 - 5 micron high-contrast lenslet-based integral field spectrograph (IFS) designed to characterize exoplanets and their atmospheres. The SCALES…

We present results from the first on-sky demonstration of a prototype astronomical integrated photonic spectrograph (IPS) using the Anglo-Australian Telescope near-infrared imaging spectrometer (IRIS2) at Siding Spring Observatory to…

Instrumentation and Methods for Astrophysics · Physics 2018-05-23 N. Cvetojevic , J. S. Lawrence , S. C. Ellis , J. Bland-Hawthorn , R. Haynes , A. Horton

High-dimensional and complex spectral structures make the clustering of hyperspectral images (HSI) a challenging task. Subspace clustering is an effective approach for addressing this problem. However, current subspace clustering algorithms…

Computer Vision and Pattern Recognition · Computer Science 2023-12-12 Renxiang Guan , Zihao Li , Xianju Li , Chang Tang , Ruyi Feng

The success of ground-based instruments for high contrast exoplanet imaging depends on the degree to which adaptive optics (AO) systems can mitigate atmospheric turbulence. While modern AO systems typically suffer from millisecond time lags…

Instrumentation and Methods for Astrophysics · Physics 2019-09-13 Rebecca Jensen-Clem , Charlotte Z. Bond , Sylvain Cetre , Eden McEwen , Peter Wizinowich , Sam Ragland , Dimitri Mawet , James Graham

We investigate the ability of infrared integral-field spectrographs to map the velocity fields of high redshift galaxies, presenting a formalism which may be applied to any telescope and imaging spectrograph system. We discuss the 5-sigma…

Astrophysics · Physics 2008-11-26 David R. Law , Charles C. Steidel , Dawn K. Erb

Starlight suppression techniques for High-Contrast Imaging (HCI) are crucial to achieving the demanding contrast ratios and inner working angles required for detecting and characterizing exoplanets with a wide range of masses and…

Heterogeneous Face Recognition (HFR) aims at matching face images captured across different sensing modalities, such as thermal-to-visible or near-infrared-to-visible, enhancing the usability of face recognition systems in challenging…

Computer Vision and Pattern Recognition · Computer Science 2026-05-07 Anjith George , Sebastien Marcel

High contrast imaging using coronagraphy is one of the main avenues to enable the search for life on extrasolar Earth analogs. The HiCAT testbed aims to demonstrate coronagraphy and wavefront control for segmented on-axis space telescopes…

Instrumentation and Methods for Astrophysics · Physics 2019-03-11 Christopher Moriarty , Keira Brooks , Remi Soummer , Marshall Perrin , Thomas Comeau , Gregory Brady , Rob Gontrum , Peter Petrone

Hyperspectral Imaging (HSI) plays an increasingly critical role in precise vision tasks within remote sensing, capturing a wide spectrum of visual data. Transformer architectures have significantly enhanced HSI task performance, while…

Computer Vision and Pattern Recognition · Computer Science 2024-07-24 Fangqin Zhou , Mert Kilickaya , Joaquin Vanschoren , Ran Piao

IRIS (InfraRed Imaging Spectrograph) is one of the first-generation instruments for the Thirty Meter Telescope (TMT). IRIS is composed of a combination of near-infrared (0.84--2.4 $\mu$m) diffraction limited imager and integral field…

Fourier Transform Interferometry (FTI) is an interferometric procedure for acquiring HyperSpectral (HS) data. Recently, it has been observed that the light source highlighting a (biologic) sample can be coded before the FTI acquisition in a…

Information Theory · Computer Science 2018-03-09 Amirafshar Moshtaghpour , Laurent Jacques

In coded aperture snapshot spectral imaging (CASSI), the captured measurement entangles spatial and spectral information, posing a severely ill-posed inverse problem for hyperspectral images (HSIs) reconstruction. Moreover, the captured…

Computer Vision and Pattern Recognition · Computer Science 2026-02-09 Xiaodong Wang , Zijun He , Ping Wang , Lishun Wang , Yanan Hu , Xin Yuan

Direct imaging of exoplanets requires establishing and maintaining a high contrast dark field (DF) within the science image to a high degree of precision (10^-10). Current approaches aimed at establishing the DF, such as electric field…

Instrumentation and Methods for Astrophysics · Physics 2017-09-26 Kelsey Miller , Olivier Guyon , Jared R Males

As radio telescopes become sensitive, radio frequency interference (RFI) is more and more serious for interesting signals of radio astronomy. There exist demands for developing an automatic, accurate and efficient RFI mitigation method.…

Instrumentation and Methods for Astrophysics · Physics 2023-12-27 Qingguo Zeng , Xue Chen , Xiangru Li , J. L. Han , Chen Wang , D. J. Zhou , Tao Wang

Hyperspectral imaging enables fine-grained recognition of materials by capturing rich spectral signatures, but learning robust classifiers is challenging due to high dimensionality, spectral redundancy, limited labeled data, and strong…

Computer Vision and Pattern Recognition · Computer Science 2026-04-20 Alexander Musiat , Nikolas Ebert , Oliver Wasenmüller

In astronomy or biological imaging, refractive index inhomogeneities of e.g. atmosphere or tissues induce optical aberrations which degrade the desired information hidden behind the medium. A standard approach consists in measuring these…

Optics · Physics 2023-06-01 Tengfei Wu , Marc Guillon , Gilles Tessier , Pascal Berto
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