A Geometric Approach to Estimate Background in Astronomical Images
Estimating the true background in an astronomical image is fundamental to detecting faint sources. In a typical low-photon-count astronomical image, such as in the far- and near-ultraviolet wavelength ranges, conventional methods relying on 3 σ clipping ...
Pushpak Pandey, Kanak Saha
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A NEW METHOD FOR DETERMING THE VELOCITY OF TIDs BASED ON RADIO ASTRONOMICAL OBSERVATIONS [PDF]
Wenjun Han, Xizhen Zhang, Yi-jia Zheng
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Denoising Astronomical Images with an Unsupervised Deep Learning Based Method [PDF]
Tie Liu +7 more
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Attention-Enhanced GAN for Astronomical Image Restoration Under Atmospheric Turbulence and Optical Aberrations. [PDF]
Peng C, Li J, Bao J, Luo L.
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Using wavelet decomposition to determine the dimension of structures from projected images. [PDF]
Mayboroda S, Spergel DN.
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Astronomical Image Acquisition Using an Improved Track and Accumulate Method
Seng Cheong Loke
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Reconstruction of Extreme Sea Levels in coastal China using Multiple Deep Learning models. [PDF]
Fang J +8 more
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Unsupervised multimodal deep learning for galaxy morphology taxonomy: integrating ConvNeXtEmbeddings and morphological parameters for scalable survey science. [PDF]
Selim IM +3 more
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Pattern‐Recognition Methods in Automatic Techniques for Astronomical Spectral Analysis [PDF]
Luo A‐Li
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