Results 1 to 10 of about 14,211,114 (251)

Wildfire Danger Prediction and Understanding With Deep Learning

Geophysical Research Letters, 2022
Climate change exacerbates the occurence of extreme droughts and heatwaves, increasing the frequency and intensity of large wildfires across the globe.
Spyros Kondylatos, Ioannis Prapas, Michele Ronco, Ioannis Papoutsis, Gustau Camps‐Valls, María Piles, Miguel‐Ángel Fernández‐Torres, Nuno Carvalhais   +7 more
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A digital 3D reference atlas reveals cellular growth patterns shaping the Arabidopsis ovule

eLife, 2021
A fundamental question in biology is how morphogenesis integrates the multitude of processes that act at different scales, ranging from the molecular control of gene expression to cellular coordination in a tissue.
Athul Vijayan, Rachele Tofanelli, Sören Strauss, Lorenzo Cerrone, Adrian Wolny, Joanna Strohmeier, Anna Kreshuk, Fred A Hamprecht, Richard S Smith, Kay Schneitz   +9 more
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Photonic signal processor based on a Kerr microcomb for real-time video image processing

Communications Engineering, 2023
Signal processing has become central to many fields, from coherent optical telecommunications, where it is used to compensate signal impairments, to video image processing.
Mengxi Tan, Xingyuan Xu, Andreas Boes, Bill Corcoran, Thach G. Nguyen, Sai T. Chu, Brent E. Little, Roberto Morandotti, Jiayang Wu, Arnan Mitchell, David J. Moss   +10 more
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Precise Distance Measurement for a Near-Earth Asteroid by the Refined Rotational Reflex Velocity Method

The Astronomical Journal, 2023
The rotational reflex velocity (RRV) method was proposed by Heinze and Metchev in 2015 and was used to measure the distances of main-belt asteroids (MBAs). Later, Lin et al. generalized this method using spherical astronomy in 2016.
B. F. Guo, Q. Y. Peng, F. R. Lin, J. L. Cao   +3 more
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Optimal partitioning methods for image segmentation

The Journal of Engineering, 2015
The importance of image processing is increasing in the digitally connected world due to its numerous applications in various fields of medical science, astronomy, weather prediction and video surveillance systems etc. The latest research and development
Shreyas Fadnavis
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DSP IMPLEMENTATION OF THE FAST FOURIER TRANSFORM USING THE CORDIC ALGORITHM

ICTACT Journal on Communication Technology, 2018
Fourier transform is a tool enabling the understanding and implementation of a large number of numerical methods for signal and image processing. This tool has many applications in domains such as vocal recognition, image quality improvement, digital ...
Youness Mehdaoui, Rachid El Alami
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Richardson–Lucy Deconvolution with a Spatially Variant Point-spread Function of Chandra: Supernova Remnant Cassiopeia A as an Example

The Astrophysical Journal, 2023
Richardson–Lucy (RL) deconvolution is one of the classical methods widely used in X-ray astronomy and other areas. Amid recent progress in image processing, RL deconvolution still leaves much room for improvement under realistic situations. One direction
Yusuke Sakai, Shinya Yamada, Toshiki Sato, Ryota Hayakawa, Ryota Higurashi, Nao Kominato   +5 more
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Neural Posterior Estimation for Cataloging Astronomical Images from the Legacy Survey of Space and Time

The Astronomical Journal
The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will commence full-scale operations in 2026, yielding an unprecedented volume of astronomical images.
Yicun Duan, Xinyue Li, Camille Avestruz, Jeffrey Regier, LSST Dark Energy Science Collaboration   +4 more
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Toward a Live Homogeneous Database of Solar Active Regions Based on SOHO/MDI and SDO/HMI Synoptic Magnetograms. I. Automatic Detection and Calibration

The Astrophysical Journal Supplement Series, 2023
Recent studies indicate that a small number of rogue solar active regions (ARs) may have a significant impact on the end-of-cycle polar field and the long-term behavior of solar activity.
Ruihui Wang, Jie Jiang, Yukun Luo
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Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions

The Astronomical Journal
Neural posterior estimation (NPE), a type of amortized variational inference, is a computationally efficient means of constructing probabilistic catalogs of light sources from astronomical images.
Aakash Patel, Tianqing Zhang, Camille Avestruz, Jeffrey Regier, The LSST Dark Energy Science Collaboration   +4 more
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