Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Kewen Qu"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 9628-9644 (2024)
The purpose of hyperspectral unmixing (HU) is to extract the spectral signatures and their proportion fractions from the hyperspectral remote sensing image (HSIs), which is a crucial issue in HSIs processing. Recently, nonnegative tensor factorizatio
Externí odkaz:
https://doaj.org/article/de5916551f184792ae306aa1cc418cfa
Autor:
Kewen Qu, Zhenqing Li
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1885-1902 (2024)
Hyperspectral remote sensing images have received extensive attention because of their high spectral resolution. However, the limitation of spatial resolution of imaging spectrometers results in a large number of mixed pixels, which restricts the acc
Externí odkaz:
https://doaj.org/article/928a61609a204890828c01e0e5573e02
Publikováno v:
Remote Sensing, Vol 15, Iss 20, p 4983 (2023)
This paper introduces a novel hyperspectral image super-resolution algorithm based on graph-regularized tensor ring decomposition aimed at resolving the challenges of hyperspectral image super-resolution. This algorithm seamlessly integrates graph re
Externí odkaz:
https://doaj.org/article/118c7b21bee24d5280a5fcac81fa0a7d
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4610 (2023)
Multispectral and hyperspectral image fusion (MHF) aims to reconstruct high-resolution hyperspectral images by fusing spatial and spectral information. Unlike the traditional canonical polyadic decomposition and Tucker decomposition models, the block
Externí odkaz:
https://doaj.org/article/9759e26e67dc4913ba3b846011f20171
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 3386-3402 (2021)
Endmember extraction algorithms (EEAs) play a crucial role in hyperspectral image (HSI) perception, and yet they normally suffer from three flaws: 1) High computational burden, 2) weak noise robustness, and 3) high outlier sensitivity. To solve these
Externí odkaz:
https://doaj.org/article/5d60804e54da4ddfaeb46eb54c98e3ad
Autor:
Kewen Qu, Wenxing Bao
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 963-975 (2020)
Nonnegative matrix factorization (NMF) is widely used in unmixing issue in recent years, because it can simultaneously estimate the endmembers and abundances. However, most existing NMF-based methods only consider single matrix constraints and the ot
Externí odkaz:
https://doaj.org/article/92322216858f49a285b81001b67a7b76
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 1347-1361 (2020)
Endmember extraction algorithms (EEAs) are among the most commonly discussed types of hyperspectral image processing in the past three decades. This article proposes a spatial energy prior constrained maximum simplex volume (SENMAV) approach for spat
Externí odkaz:
https://doaj.org/article/6b5dc70b2c5a4fbdb1e46d9c488a478d
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5306 (2022)
The problem of multispectral and hyperspectral image fusion (MHF) is to reconstruct images by fusing the spatial information of multispectral images and the spectral information of hyperspectral images. Focusing on the problem that the hyperspectral
Externí odkaz:
https://doaj.org/article/8b3d92e0657d4e6bbbc21acea8992295
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::204cf8466d52657e7518f1869cc7b62c
https://doi.org/10.1109/tgrs.2023.3275740
https://doi.org/10.1109/tgrs.2023.3275740
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4116 (2021)
The hyperspectral image super-resolution (HSI-SR) problem aims at reconstructing the high resolution spatial–spectral information of the scene by fusing low-resolution hyperspectral images (LR-HSI) and the corresponding high-resolution multispectra
Externí odkaz:
https://doaj.org/article/d02b963668ce4e38801738864e5a07df