Results 51 to 60 of about 1,349 (217)

An Integrated Solution of UAV Push-Broom Hyperspectral System Based on Geometric Correction with MSI and Radiation Correction Considering Outdoor Illumination Variation

Remote Sensing, 2022
The unmanned aerial vehicle (UAV)-borne hyperspectral imaging system has the advantages of high spatial resolution, flexible operation, under-cloud flying, and easy cooperation with ground synchronous tests. Because this platform often flies under clouds,
Liyao Song, Haiwei Li, Tieqiao Chen, Junyu Chen, Song Liu, Jiancun Fan, Quan Wang   +6 more
doaj   +1 more source

Locality Regularized Robust-PCRC: A Novel Simultaneous Feature Extraction and Classification Framework for Hyperspectral Images [PDF]

, 2020
Despite the successful applications of probabilistic collaborative representation classification (PCRC) in pattern classification, it still suffers from two challenges when being applied on hyperspectral images (HSIs) classification: 1) ineffective ...
Ling, Wing-Kuen, Cao, Faxian, Yang, Zhijing, Hu, Ruo, Cheng, Yongqiang   +4 more
core   +1 more source

Bayesian gravitation-based classification for hyperspectral images. [PDF]

, 2022
Integration of spectral and spatial information is extremely important for the classification of high-resolution hyperspectral images (HSIs). Gravitation describes interaction among celestial bodies which can be applied to measure similarity between data
Fu, Hang, Sun, Genyun, Zhang, Chenglong, Yao, Yanjuan, Jia, Xiuping, Zhang, Aizhu, Ren, Jinchang, Pan, Zhaojie   +7 more
core   +1 more source

AI-based segmentation of intraoperative glioblastoma hyperspectral images [PDF]

, 2023
Glioblastoma surgical resection is a problematic mission for neurosurgeons. Tumor complete resection improves patients healing chances and prognosis, whilst excessive resection could lead to neurological deficits.
Torti, Emanuele, Marenzi, Elisa, Gazzoni, Marco, Fabelo, Himar, Ortega, Samuel, Callicó, Gustavo, La Salvia, Marco, Leon, Raquel, Leporati, Francesco, Callicó, Gustavo M.   +9 more
core   +1 more source

Compression of hyperspectral images using discerete wavelet transform and tucker decomposition [PDF]

, 2012
International audienceThe compression of hyperspectral images (HSIs) has recently become a very attractive issue for remote sensing applications because of their volumetric data.
Karami Robati, Azam, Yasdi, M., Mercier, Grégoire   +2 more
core   +2 more sources

Hyperspectral imaging (hsi): applications in animal and dairy sector

Journal of Experimental Biology and Agricultural Sciences, 2016
Hyperspectral imaging (HSI), also known as imaging spectroscopy or 3D spectroscopy, combines imaging and spectroscopy into a single system. With a high resolution measurement of spectral signatures, HSI is able to provide critical information of the target.
Abhinav Kumar, Sonal Saxena, Sameer Shrivastava, Vandana Bharti, Upendra Kumar, Kuldeep Dhama   +5 more
openaire   +1 more source

Age prediction of hematoma using hyperspectral imaging (HSI)

Forensic Science, Medicine and Pathology
Abstract Hyperspectral imaging (HSI) analyzes the reflected light spectrum of an object, providing insights into its material composition. In this experimental, prospective study, standardized hematomas were created in subjects and observed over 21 days using a portable hyperspectral camera, aiming to correlate changes in the ...
S. Al-Arami, St. Lüdtke, J. Dreßler, C. Babian   +3 more
openaire   +2 more sources

ATIS-Driven 3DCNet: A Novel Three-Stream Hyperspectral Fusion Framework with Knowledge from Downstream Classification Performance

Remote Sensing
Reconstructing high-resolution hyperspectral images (HR-HSIs) by fusing low-resolution hyperspectral images (LR-HSIs) and high-resolution multispectral images (HR-MSIs) is a significant challenge in image processing.
Quan Zhang, Jian Long, Jun Li, Chunchao Li, Jianxin Si, Yuanxi Peng   +5 more
doaj   +1 more source

Hyperspectral Image Study based on Deep Learning Model HSI-ConvNext

Transactions on Computer Science and Intelligent Systems Research, 2023
In recent years, deep learning techniques have made significant research progress in the field of hyperspectral image processing. Hyperspectral images are widely used in agriculture, environmental monitoring, geological exploration and other fields due to their richness in material and spectral information about objects.
Zhonghui Bian, Xuying Zhao, Qian Wang, Zhibo Xing   +3 more
openaire   +1 more source

Deep‐Learning‐Driven High‐Fidelity In Vivo Hyperspectral Fluorescence Imaging Under Extreme Photon‐Limited Conditions

Advanced Science, EarlyView.
Highly overlapping fluorescent signals become distinguishable in photon‐limited living organisms via advanced imaging with intelligent reconstruction. The resulting in vivo hyperspectral imaging capability reveals nanoplastic uptake and circulation in live zebrafish, providing a new approach for studying complex biological and environmental processes ...
Renjian Li, Shutao Wu, Kaixiang Li, Zhenyu An, Yuwen Ben, Guiye LI, Sunil Kumar, James Mcginty, Tawfique Hasan, Songnian Fu, Meng Zhang, LingLing Chen   +11 more
wiley   +1 more source