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
Detection of asbestos-based cement rooftops in conflict-affected settings using EnMAP hyperspectral data: a research article
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-09738-w
Abstract: In volatile, conflict-affected regions, rapidly mapping asbestos-cement rooftops is critical to mitigate health risks from airborne fibres. Over a 4-month field campaign (Nov 2023–Apr 2024), we partnered with the Israel Space Agency and Ministry of… read more here.
Keywords: hyperspectral data; cement rooftops; asbestos based; conflict affected ... 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
Phenol identification and mapping of rangeland species at laboratory and landscape scales using PRISMA hyperspectral data
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2024.2384101
Abstract: ABSTRACT Secondary metabolites have high ecological and economic values. Measuring the amounts of these metabolites in plants through laboratory analysis is time-consuming and expensive. On the other hand, the laboratory results cannot be generalized to… read more here.
Keywords: hyperspectral data; phenol concentration; phenol; landscape ... See more keywords
Scaling-up plant chlorophyll retrieval from proximal to UAV-borne hyperspectral data using a Gaussian process hybrid model
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2025.2546152
Abstract: ABSTRACT The advent of unmanned aerial vehicles (UAVs) has made a breakthrough in agriculture by capturing high spatial-resolution data of croplands, facilitating the mapping of important crop health parameters. The chlorophyll content is a strong… read more here.
Keywords: hyperspectral data; gaussian process; chlorophyll; model ... 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
Inversion study of the meadow steppe above-ground biomass based on ground and airborne hyperspectral data
Sign Up to like & getrecommendations! Published in 2024 at "Geocarto International"
DOI: 10.1080/10106049.2024.2370304
Abstract: Abstract Above-ground biomass (AGB) is a critical criterion for assessing the ecological value and productivity of grasslands. Quickly and accurately estimating the AGB of grasslands has become a matter of great concern in grassland ecosystem… read more here.
Keywords: hyperspectral data; ground biomass; airborne hyperspectral; ground ... See more keywords