English
Related papers

Related papers: Public Imaging Surveys: Scientific Opportunities

200 papers

In recent years, significant advances in computer vision have also propelled progress in remote sensing. Concurrently, the use of drones has expanded, with many organizations incorporating them into their operations. Most drones are…

Computer Vision and Pattern Recognition · Computer Science 2026-02-20 Panagiotis Koletsis , Vasilis Efthymiou , Maria Vakalopoulou , Nikos Komodakis , Anastasios Doulamis , Georgios Th. Papadopoulos

In the search for a sustainable approach for software ecosystems that supports experimental and observational science (EOS) across Oak Ridge National Laboratory (ORNL), we conducted a survey to understand the current and future landscape of…

Software Engineering · Computer Science 2022-09-07 David E Bernholdt , Mathieu Doucet , William F Godoy , Addi Malviya-Thakur , Gregory R Watson

The advancement of remote sensing, including satellite systems, facilitates the continuous acquisition of remote sensing imagery globally, introducing novel challenges for achieving open-world tasks. Deployed models need to continuously…

Computer Vision and Pattern Recognition · Computer Science 2025-07-31 Xiang Xiang , Zhuo Xu , Yao Deng , Qinhao Zhou , Yifan Liang , Ke Chen , Qingfang Zheng , Yaowei Wang , Xilin Chen , Wen Gao

We present the first data release (DR1) of the VST Early-type GAlaxy Survey (VEGAS). This is a deep multi-band (u'g'r'i') imaging survey, carried out with the ESO VLT Survey Telescope (VST). To date, using about 90% of the total observing…

Astrophysics of Galaxies · Physics 2021-02-10 E. Iodice , M. Spavone , M. A. Raj , M. Capaccioli , M. Cantiello , VEGAS science team

The installation of the Space Telescope Imaging Spectrograph (STIS) on the Hubble Space Telescope (HST) allows for the first time two-dimensional optical and ultraviolet slitless spectroscopy of faint objects from space. The STIS Parallel…

The Large Synoptic Survey Telescope (LSST) is uniquely equipped to search for Solar System bodies due to its unprecedented combination of depth and wide field coverage. Over a ten-year period starting in 2022, LSST will generate the largest…

The Kilo Degree Survey (KiDS) is a 1500 square degree optical imaging survey with the recently commissioned OmegaCAM wide-field imager on the VLT Survey Telescope (VST). A suite of data products will be delivered to ESO and the community by…

Instrumentation and Methods for Astrophysics · Physics 2019-08-15 Gijs Verdoes Kleijn , Jelte T. A. de Jong , E. A. Valentijn , K. Kuijken

The Infrared Space Observatory (ISO) was an extremely successful european space mission that gave us an unparallel view of the Universe in the infrared, and provided us with hundreds of observations of star forming regions and bipolar…

Astrophysics · Physics 2007-05-23 Alberto Noriega-Crespo

This work presents a description of the scientific goals and objectives of OPTIMus (OPTical, Infrared, Millimeter survey of massive star-forming regions), a survey of massive star-forming regions in the optical, infrared, and millimeter…

Astrophysics of Galaxies · Physics 2026-03-05 M. S. Kirsanova , A. V. Moiseev , A. M. Tatarnikov , A. S. Gusev , A. D. Yarovova , D. S. Wiebe

We present the first public data release of the VISTA EXtension to Auxiliary Surveys (VEXAS), comprising of 9 cross-matched multi-wavelength photometric catalogs where each object has a match in at least two surveys. We aim at a spatial…

Astrophysics of Galaxies · Physics 2019-10-16 C. Spiniello , A. Agnello

The ultimate goal of this research proposal is the creation of a micro-optomechanical intelligence. The proposal centers on the development and investigation of very large-scale integrated (VLSI) arrays of coupled M/NEMS devices as…

Mesoscale and Nanoscale Physics · Physics 2023-04-14 Samer Houri , Gaetan Kerschen

Earth Observation (EO) mining aims at supporting efficient access and exploration of petabyte-scale space- and airborne remote sensing archives that are currently expanding at rates of terabytes per day. A significant challenge is…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-01-22 Luigi Mascolo , Marco Quartulli , Pietro Guccione , Giovanni Nico , Igor G. Olaizola

Observations that require large physical instrument dimensions and/or a considerable amount of cryogens, as it is for example the case for high spatial resolution far infrared astronomy, currently still face technological limits for their…

In this the first of a series of Letters, we present a description of the panchromatic data sets that have been acquired in the Extended Groth Strip region of the sky. Our survey, the All-wavelength Extended Groth strip International Survey…

The Auroral Planetary Imaging and Spectroscopy (APIS) service, accessible online, provides an open and interactive access to processed auroral observations of the outer planets and their satellites. Such observations are of interest for a…

Instrumentation and Methods for Astrophysics · Physics 2015-01-19 Laurent Lamy , Renée Prangé , Florence Henry , Pierre Le Sidaner

Ill-posed image reconstruction problems appear in many scenarios such as remote sensing, where obtaining high quality images is crucial for environmental monitoring, disaster management and urban planning. Deep learning has seen great…

Computer Vision and Pattern Recognition · Computer Science 2024-11-21 Andrew Wang , Mike Davies

In this paper, we present and study a new image segmentation task, called Generalized Open-set Semantic Segmentation (GOSS). Previously, with the well-known open-set semantic segmentation (OSS), the intelligent agent only detects the…

Computer Vision and Pattern Recognition · Computer Science 2022-03-24 Jie Hong , Weihao Li , Junlin Han , Jiyang Zheng , Pengfei Fang , Mehrtash Harandi , Lars Petersson

We present AiTLAS: Benchmark Arena -- an open-source benchmark suite for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO). To this end, we present a comprehensive comparative analysis…

Computer Vision and Pattern Recognition · Computer Science 2023-02-02 Ivica Dimitrovski , Ivan Kitanovski , Dragi Kocev , Nikola Simidjievski