Adaptive denoising hyperspectral data for visualization enhancement of intraoperative tissue
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Biophotonics"
DOI: 10.1002/jbio.202200083
Abstract: The vast amount of reflectance information obtained from the hyperspectral imaging devices offers great opportunities for investigating the function and structure of human tissue. However, the captured hyperspectral data often contain various noises due to… read more here.
Keywords: denoising hyperspectral; hyperspectral data; adaptive denoising; visualization enhancement ... See more keywords
Unmixing of hyperspectral data for mineral detection using a hybrid method, Sar Chah-e Shur, Iran
Sign Up to like & getrecommendations! Published in 2020 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-020-06070-7
Abstract: This study aims to detect indicative minerals by spectral unmixing of the Hyperion and HyMap datasets in the Sar Chah-e Shur area. The mineral endmembers and their abundances were therefore determined using a series of… read more here.
Keywords: sar chah; hyperspectral data; method; chah shur ... See more keywords
Study on sparse representation and measurement matrices of compressive sensing of plant hyperspectral data for retrieving plant physiological and biochemical parameters
Sign Up to like & getrecommendations! Published in 2019 at "Biosystems Engineering"
DOI: 10.1016/j.biosystemseng.2019.02.011
Abstract: The sparse representation of the original signal and compression of the sparse coefficients in the process of compressive sensing have a large influence on the reconstruction of plant hyperspectral data to retrieve plant physiological and… read more here.
Keywords: hyperspectral data; matrix; plant hyperspectral; compressive sensing ... See more keywords
Estimation of leaf nutrition status in degraded vegetation based on field survey and hyperspectral data
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-61294-7
Abstract: Timely monitoring of global plant biogeochemical processes demands fast and highly accurate estimation of plant nutrition status, which is often estimated based on hyperspectral data. However, few such studies have been conducted on degraded vegetation.… read more here.
Keywords: estimation; degraded vegetation; hyperspectral data; vegetation ... See more keywords
Application of CASI/SASI and fieldspec4 hyperspectral data in exploration of the Baiyanghe uranium deposit, Hebukesaier, Xinjiang, NW China
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2017.1387307
Abstract: ABSTRACT Hyperspectral technology can quickly identify hydrothermal altered minerals and can locate the possible hydrothermal/mineralization centres through the variations of the spectral characteristic parameters of some specific altered minerals. In this study, airborne sensors Compact… read more here.
Keywords: uranium deposit; deposit; baiyanghe uranium; fieldspec4 hyperspectral ... See more keywords
Unsupervised band selection of hyperspectral data based on mutual information derived from weighted cluster entropy for snow classification
Sign Up to like & getrecommendations! Published in 2019 at "Geocarto International"
DOI: 10.1080/10106049.2019.1665717
Abstract: Abstract Information on the spatial and temporal extent of snow cover distribution is a significant input in hydrological processes and climate models. Although hyperspectral remote sensing provides significant opportunities in the assessment of land cover,… read more here.
Keywords: information; hyperspectral data; band; band selection ... See more keywords
AVIRIS-NG hyperspectral data analysis for pre- and post-MNF transformation using per-pixel classification algorithms
Sign Up to like & getrecommendations! Published in 2020 at "Geocarto International"
DOI: 10.1080/10106049.2020.1801857
Abstract: The hyperspectral image such as AVIRIS-NG provides a lot of spectral information and fine resolution that identify and discriminate similar objects based on their spectral reflectance. This study r... read more here.
Keywords: post mnf; data analysis; aviris hyperspectral; pre post ... See more keywords
Estimating the vertical distribution of chlorophyll in winter wheat based on multi-angle hyperspectral data
Sign Up to like & getrecommendations! Published in 2020 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2020.1817605
Abstract: ABSTRACT Chlorophyll plays an important role in crop photosynthesis, which is closely related to nitrogen (N). N deficiency first occurs in the lower leaves, but the spectral detection of the lower layer is insufficient due… read more here.
Keywords: vertical distribution; hyperspectral data; multi angle; angle hyperspectral ... See more keywords
Dimensionality Reduction for Hyperspectral Data Based on Pairwise Constraint Discriminative Analysis and Nonnegative Sparse Divergence
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2016.2624303
Abstract: To improve the classification accuracy of unlabeled large-scale hyperspectral data, a dimensionality reduction algorithm based on pairwise constraint discriminant analysis and nonnegative sparse divergence (PCDA-NSD) is proposed by using the feature transfer learning technology. Different… read more here.
Keywords: nonnegative sparse; hyperspectral data; divergence; constraint ... See more keywords
A Nondestructive Alternative for Kerogen Type Determination in Potential Hydrocarbon Source Rocks Using Hyperspectral Data and Machine Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3195088
Abstract: In petroleum geology, to assess the hydrocarbon generation potential in source rocks involves the determination of the kerogen type by some destructive method. The usage of such methods is a bottleneck in the process because… read more here.
Keywords: kerogen type; source rocks; hyperspectral data; kerogen ... See more keywords
Improved Learning-Based Approach for Atmospheric Compensation of VNIR-SWIR Hyperspectral Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3099957
Abstract: In this work, the Learning-Based Approach to Atmospheric Compensation (LBAC) of hyperspectral data proposed by Acito et al. is extended. LBAC makes use of machine learning methods to directly estimate the spectral reflectance from the… read more here.
Keywords: approach atmospheric; based approach; hyperspectral data; atmospheric compensation ... See more keywords