Results 171 to 180 of about 2,924,189 (218)

Reconstructing Hyperspectral Images from RGB Images by Multi-Scale Spectral-Spatial Sequence Learning. [PDF]

Entropy (Basel)
Chen W, Liu L, Gao R.
europepmc   +1 more source

A broadband hyperspectral image sensor with high spatio-temporal resolution. [PDF]

Nature
Bian L, Wang Z, Zhang Y, Li L, Zhang Y, Yang C, Fang W, Zhao J, Zhu C, Meng Q, Peng X, Zhang J.   +11 more
europepmc   +1 more source

Low-Intervention Boundary-Risk Graph Calibration for Cross-Domain Few-Shot Hyperspectral Image Classification. [PDF]

Sensors (Basel)
Zhang Y, Fan Y, Wang W.
europepmc   +1 more source

Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications. [PDF]

J Biomed Opt
Tran MH, Ma L, Yuan M, Fei B.
europepmc   +1 more source

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Hyperspectral Imaging (HSI) of Human Kidney Allografts

Annals of Surgery, 2020
Objective: Aim of our study was to test a noninvasive HSI technique as an intraoperative real time assessment tool for deceased donor kidney quality and function in human kidney allotransplantation. Summary of Background Data: HSI is capable to deliver quantitative diagnostic ...
Robert, Sucher, Tristan, Wagner, Hannes, Köhler, Elisabeth, Sucher, Hanna, Quice, Sebastian, Recknagel, Andri, Lederer, Hans Michael, Hau, Sebastian, Rademacher, Stefan, Schneeberger, Gerald, Brandacher, Ines, Gockel, Daniel, Seehofer   +12 more
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Learning Spectral and Spatial Features Based on Generative Adversarial Network for Hyperspectral Image Super-Resolution

, 2019
Super-resolution (SR) of hyperspectral images (HSIs) aims to enhance the spatial/spectral resolution of hyperspectral imagery and the super-resolved results will benefit many remote sensing applications.
Shigang Yue, Hongying Meng, Ang Gao
exaly   +5 more sources

Clustering for HSI hyperspectral image with weighted PCA and ICA

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 2017
Feature extraction from hyperspectral remote sensing data is an effective method for object classification, and how to classify the object information from hyperspectral remote sensing image has become one of the core technologies of the remote sensing application.
Cheng-Fan Li, Lan Liu, Yongmei Lei, Jing-Yuan Yin, Jun-Juan Zhao, Xian-Kun Sun   +5 more
openaire   +2 more sources

The use of hyperspectral imaging (HSI) in wound healing

SPIE Proceedings, 2014
A hyperspectral imaging system (HsI), described previously, was utilized to evaluate and monitor wounds and their healing surgery and post-operatively. Briefly, the system consists of a DLP® based spectral light modulator providing active spectral illumination that is synchronized with a digital focal plan array for collecting spectroscopic images ...
Javier La Fontaine, Lawrence Lavery, Karel Zuzak   +2 more
openaire   +1 more source

Evaluation of Food Quality and Safety with Hyperspectral Imaging (HSI)

Food Engineering Reviews, 2015
The current lifestyle and a greater awareness of the benefits of proper nutrition demand requirements for products offered in the market, being very important the safety, sensory attributes and composition of these respect to the benefits from their constituents, which in most of cases can only be assessed using techniques that require high investment ...
Raúl Siche, Ricardo Vejarano, Victor Aredo, Lia Velasquez, Erick Saldaña, Roberto Quevedo   +5 more
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A HyperSpectral Imaging (HSI) approach for bio-digestate real time monitoring

SPIE Proceedings, 2014
One of the key issues in developing Good Agricultural Practices (GAP) is represented by the optimal utilisation of fertilisers and herbicidal to reduce the impact of Nitrates in soils and the environment. In traditional agriculture practises, these substances were provided to the soils through the use of chemical products (inorganic/organic ...
BONIFAZI, Giuseppe, FABBRI, ANDREA, SERRANTI, Silvia   +2 more
openaire   +2 more sources