Results 31 to 40 of about 10,052 (204)

The role of intraoperative hyperspectral imaging (HSI) in colon interposition after esophagectomy

BMC Surgery, 2023
Abstract Background Colon conduit is an alternative approach to reconstructing the alimentary tract after esophagectomy. Hyperspectral imaging (HSI) has been demonstrated to be effective for evaluating the perfusion of gastric conduits, but not colon conduits.
Anne Zimmermann, Hannes Köhler, Claire Chalopin, Boris Jansen-Winkeln, Robert Nowotny, Till Schönherr, Matthias Mehdorn, Konstantin Lukas Uttinger, René Thieme, Ines Gockel, Yusef Moulla   +10 more
openaire   +3 more sources

Compressive Source Separation: Theory and Methods for Hyperspectral Imaging [PDF]

, 2012
With the development of numbers of high resolution data acquisition systems and the global requirement to lower the energy consumption, the development of efficient sensing techniques becomes critical. Recently, Compressed Sampling (CS) techniques, which
Arberet, Simon, Golbabaee, Mohammad, Vandergheynst, Pierre   +2 more
core   +5 more sources

Contrastive Learning Based on Transformer for Hyperspectral Image Classification

Applied Sciences, 2021
Recently, deep learning has achieved breakthroughs in hyperspectral image (HSI) classification. Deep-learning-based classifiers require a large number of labeled samples for training to provide excellent performance.
Xiang Hu, Teng Li, Tong Zhou, Yu Liu, Yuanxi Peng   +4 more
doaj   +1 more source

ACTL: Asymmetric Convolutional Transfer Learning for Tree Species Identification Based on Deep Neural Network

IEEE Access, 2021
The identification of tree species is of great significance to the sustainable management and utilization of forest ecosystems. Hyperspectral data provide sufficient spectral and spatial information to classify tree species. Convolutional neural networks
Yun Shi, Donghui Ma, Jie Lv, Jie Li
doaj   +1 more source

Unsupervised spectral sub-feature learning for hyperspectral image classification [PDF]

, 2016
Spectral pixel classification is one of the principal techniques used in hyperspectral image (HSI) analysis. In this article, we propose an unsupervised feature learning method for classification of hyperspectral images.
De Neve, Wesley, Slavkovikj, Viktor, Van de Walle, Rik, Van Hoecke, Sofie, Verstockt, Steven   +4 more
core   +1 more source

Hyperspectral Image Inpainting Based on Robust Spectral Dictionary Learning

Applied Sciences, 2019
To address the problems of defective pixels and strips in hyperspectral images affecting subsequent processing and applications, we modeled the hyperspectral image (HSI) inpainting problem as a sparse signal reconstruction problem with incomplete ...
Xiaorui Song, Lingda Wu
doaj   +1 more source

Non-Invasive Measurement of Frog Skin Reflectivity in High Spatial Resolution Using a Dual Hyperspectral Approach [PDF]

, 2013
Background:Most spectral data for the amphibian integument are limited to the visible spectrum of light and have been collected using point measurements with low spatial resolution.
Greven, H, Liebisch, F, Mielewczik, M, Pinto, F, Rascher, U, Walter, A   +5 more
core   +4 more sources

Local-aware coupled network for hyperspectral image super-resolution

GIScience & Remote Sensing, 2023
Despite the unprecedented success of super-resolution (SR) development for natural images, achieving hyperspectral image (HSI) SR with rich spectral characteristics remains a challenging task.
Meilin Zhang, Guizhou Zheng, Zhiben Jiang, Qiqi Zhu, Linlin Wang, Qingfeng Guan   +5 more
doaj   +1 more source

Hyperspectral and Multispectral Data Fusion via Joint Local-Nonlocal Modeling and Truncation Operator

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Fusion technology has been the core strategy to obtain a high-spatial-spectral resolution hyperspectral image (HSI). In recent years, few fusion models focused on exploiting the underlying manifold structure in the spatial dimension of the high ...
Jiawei Jiang, Yuchao Feng, Honghui Xu, Guojiang Shen, Jianwei Zheng   +4 more
doaj   +1 more source

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