Precipitation retrieval by the L1‐norm regularization: Typhoon Hagibis case
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DOI: 10.1002/qj.3945
Abstract: This study examines precipitation retrieval by the L1‐norm regularization using the infrared brightness temperatures from the Himawari‐8/Advanced Himawari Imager (AHI) of the typhoon Hagibis and analyses the advantages of high temporal resolution data. The AHI… read more here.
Keywords: precipitation; norm regularization; typhoon hagibis;
L p ‐norm regularization approaches in variational data assimilation
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DOI: 10.1002/qj.4010
Abstract: This article presents a formulation of the 4DVar objective function using as a penalty term a Lp‐norm with 1 < p read more here.
Keywords: assimilation norm; norm regularization; data assimilation; regularization approaches ... See more keywords
An Optimal Hybrid Nuclear Norm Regularization for Matrix Sensing With Subspace Prior Information
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DOI: 10.1109/access.2020.3009688
Abstract: Matrix sensing refers to recovering a low-rank matrix from a few linear combinations of its entries. This problem naturally arises in many applications including recommendation systems, collaborative filtering, seismic data interpolation and wireless sensor networks.… read more here.
Keywords: information; matrix sensing; nuclear norm; hybrid nuclear ... See more keywords
Reweighted Kernel-Based Nonlinear Hyperspectral Unmixing With Regional ℓ₁-Norm Regularization
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DOI: 10.1109/lgrs.2021.3083403
Abstract: Improving the performance of nonlinear unmixing has become an active topic among the remote sensing applications. Usually, the noise levels of hyperspectral images (HSIs) vary with different bands. However, this fact is generally ignored and… read more here.
Keywords: kernel based; nonlinear unmixing; based nonlinear; different bands ... See more keywords