Results 151 to 160 of about 9,466 (207)

Segmentation Methodologies for the Construction of Hyperspectral Cell Nuclei Databases in Histopathology. [PDF]

Bioengineering (Basel)
Rosa-Olmeda G, Hiller-Vallina S, Villa M, Segura-Collar B, Gargini R, Chavarrías M.   +5 more
europepmc   +1 more source

Endmember extraction and abundance estimation algorithm based on double-compressed sampling. [PDF]

Sci Rep
Wang L, Bi Y, Wang W, Li J.
europepmc   +1 more source

Bayesian reconstruction of rapidly scanned mid-infrared optoacoustic signals enables fast, label-free chemical microscopy. [PDF]

Sci Adv
Berger C, Kim M, Scheel-Platz L, Eigenberger A, Prantl L, Liu P, Gujrati V, Ntziachristos V, Jüstel D, Pleitez MA.   +9 more
europepmc   +1 more source

Label-free hyperspectral multiphoton microscopy. [PDF]

Opt Lett
De la Cadena A, Renteria CA, Aksamitiene E, Boppart SA.   +3 more
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Deep learning-based hyperspectral image correction and unmixing for brain tumor surgery. [PDF]

iScience
Black D, Gill J, Xie A, Liquet B, Di Ieva A, Stummer W, Suero Molina E.   +6 more
europepmc   +1 more source

Edge-Distilled and Local-Global Feature Selection Network for Hyperspectral Image Super-Resolution. [PDF]

Sensors (Basel)
Li X, Fan M, Zheng X, Shang J.
europepmc   +1 more source

Regularization approaches to hyperspectral unmixing

, 2020
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Adversarial Autoencoder Network for Hyperspectral Unmixing

IEEE Transactions on Neural Networks and Learning Systems, 2023
Spectral unmixing (SU), which refers to extracting basic features (i.e., endmembers) at the subpixel level and calculating the corresponding proportion (i.e., abundances), has become a major preprocessing technique for the hyperspectral image analysis.
Qiwen Jin, Yong Ma, Fan Fan, Jun Huang, Xiaoguang Mei, Jiayi Ma   +5 more
openaire   +2 more sources

Blind hyperspectral unmixing

SPIE Proceedings, 2007
ABSTRACT Hyperspectral unmixing methods aim at the decompositio n of a hyperspectral image in to a collection endmembersignatures, i.e., the radiance or re”ectance of the materials present in the scene, and the correspondent abundancefractions at each pixel in the image.This paper introduces a new unmixing method termed dependent component analysis ...
Nascimento, Jose, Bioucas-Dias, José M.
openaire   +3 more sources