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作者:José Manuel Amigo , Carolina Santos
来源:[B].Data Handling in Science and Technology2020Elsevier
摘要:Hyperspectral and multispectral images do not consist exclusively on relevant information about presence and absence of chemical compounds. Depending on the technique chosen for image acquisition, equipment, experimental/environmental conditions, among others, a variety of unwant...
作者:Lucas Drumetz , Jocelyn Chanussot , Christian Jutten
来源:[B].Data Handling in Science and Technology2020Elsevier
摘要:Spectral unmixing is an inverse problem in hyperspectral imaging that aims at recovering the spectra of the pure constituents of an image (called endmembers), as well as at estimating the proportions of said materials in each pixel (called abundances). A linear mixing model is ty...
作者:Anna de Juan
来源:[B].Data Handling in Science and Technology2020Elsevier
摘要:Multivariate curve resolution (MCR) designs a family of methods able to provide qualitative (spectral signatures) and quantitative (concentration maps) information from image constituents using only the spectroscopic image measurement as initial information. MCR is a chemometric ...
作者:Nicola Falco , Junshi Xia , Xudong Kang ...
来源:[B].Data Handling in Science and Technology2020Elsevier
摘要:Advances in sensor technology and spectroscopy have provided with high spectral resolution imagery known as hyperspectral images. Their peculiar characteristics of providing a continuous spectrum of the material investigated make them extremely valuable for a variety of applicati...
作者:Gemine Vivone
来源:[B].Data Handling in Science and Technology2020Elsevier
摘要:With the increasing of satellite missions, data fusion is growing attention in recent years. Pansharpening, which stands for panchromatic (PAN) sharpening, is a particular data fusion problem based on the enhancement of the spatial resolution of a multispectral image, thanks to t...
作者:Giorgio Antonino Licciardi
来源:[B].Data Handling in Science and Technology2020Elsevier
摘要:Scientific and technological demands in spatial and spectral resolutions have drastically increased the data volume of hyperspectral images. For this reason, since the management, storage, and transmission of hyperspectral images can be extremely difficult, the compression of hyp...
作者:Neal B. Gallagher
来源:[B].Data Handling in Science and Technology2020Elsevier
摘要:Classical least squares (CLS) models are flexible, adaptable, and interpretable. Four forms of CLS are presented, and the mathematical relationships are reduced to showing differences in the weighting in the corresponding objective functions. The generalized least squares (G...
作者:Rosalba Calvini , Alessandro Ulrici , José Manuel Amigo
来源:[B].Data Handling in Science and Technology2020Elsevier
摘要:Hyperspectral and multispectral imaging (HSI and MSI, respectively) are well-known imaging techniques that have their origin in remote sensing. Nevertheless, the versatility of having a camera with the integration of a spectrometer for each pixel has profited many other branches ...
作者:Gustau Camps-Valls , Luis Gómez-Chova , Valero Laparra ...
来源:[B].Data Handling in Science and Technology2020Elsevier
摘要:Earth observation from satellites poses challenging problems where machine learning is being widely adopted as a key player. Perhaps the most challenging scenario that we are facing nowadays is to provide accurate estimates of particular variables of interest characterizing the E...

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