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20122021
most citedResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data

2.2k citations · 2.2k across the 8 of their papers we have counts for

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Showing astro-ph.IMShow all

5 papers · 1 filter

astro-ph.IM2021

An Empirical Evaluation On the Applicability of the DALiuGE Execution Framework

Ying Mei, Shoulin Wei, Feng Wang +7

The Square Kilometre Array (SKA) project is an international cooperation project to build the largest radio telescope worldwide. Data processing is one of the biggest challenges of…

astro-ph.IM2021★ 2 cited

Enhanced Remote Astronomical Archive System Based on the File-Level Unlimited Sliding-Window Technique

Cong-Ming Shi, Hui Deng, Feng Wang +6

Data archiving is one of the most critical issues for modern astronomical observations. With the development of a new generation of radio telescopes, the transfer and archiving of…

astro-ph.IM2015

Imaging SKA-Scale data in three different computing environments

Richard Dodson, Kevin Vinsen, Chen Wu +6

We present the results of our investigations into options for the computing platform for the imaging pipeline in the CHILES project, an ultra-deep HI pathfinder for the era of the…

astro-ph.IM2013

Extremely Large Images: Considerations for Contemporary Approach

Slava Kitaeff, Andreas Wicenec, Chen Wu +1

The new widefield radio telescopes, such as: ASKAP,MWA, LOFAR, eVLA and SKA; will produce spectral-imaging data-cubes (SIDC) of unprecedented volumes in the order of hundreds of Pe…

astro-ph.IM2012★ 3 cited

SkuareView: Client-Server Framework for Accessing Extremely Large Radio Astronomy Image Data

Vyacheslav V. Kitaeff, Chen Wu, Andreas Wicenec +2

The new wide-field radio telescopes, such as: ASKAP, MWA, and SKA; will produce spectral-imaging data-cubes (SIDC) of unprecedented volume. This requires new approaches to managing…