Multi-Scale image analysis is specially suited to detect objects in deep wide field radio astronomical images obtained through interferometric aperture ...

Multi-Scale image analysis is specially suited to detect ob- jects in deep wide field radio astronomical images obtained through in- terferometric aperture ...

Multi-Scale Image Analysis Applied to Radioastronomical Interferometric Data · List of references · Publications that cite this publication.

Bibliographic details on Multi-Scale Image Analysis Applied to Radioastronomical Interferometric Data.

Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.

This paper proposes a multi-step image reconstruction framework that allows for partitioning of visibility data by baseline length. This enables more flexible ...

Multi-Scale image analysis is specially suited to detect objects in deep wide field radio astronomical images obtained through interferometric aperture ...

We introduce a new class of iterative image reconstruction algorithms for radio interferometry, at the interface of convex optimization and deep learning.

Dec 14, 2024 · We describe a new multi-scale deconvolution algorithm that can also be used in multi-frequency mode. The algorithm only affects the minor ...

We have developed a prototype deep learning-based method that generates reproducible images in an expedient fashion.