Results 41 to 50 of about 105,347 (307)

Quantitative Hyperspectral Reflectance Imaging [PDF]

Sensors, 2008
Hyperspectral imaging is a non-destructive optical analysis technique that can for instance be used to obtain information from cultural heritage objects unavailable with conventional colour or multi-spectral photography. This technique can be used to distinguish and recognize materials, to enhance the visibility of faint or obscured features, to detect
Ted A.G. Steemers, Gerrit de Bruin, Roberto Padoan, Bernard J. Aalderink, Marvin E. Klein   +4 more
openaire   +3 more sources

Spectral uncertainty analysis of grassland and its camouflage materials based on land-based hyperspectral images

Open Physics, 2023
Spectral uncertainty is one of the most prominent spectral characteristics of hyperspectral images. Compared to the process of remote sensing hyperspectral imaging, hyperspectral imaging under land-based imaging conditions has the characteristics of ...
Zhao Jiale, Zhou Bing, Wang Guanglong, Liu Jie, Ying Jiaju, Chen Qi, Zhao Runze   +6 more
doaj   +1 more source

Hyperspectral Image Super-Resolution Algorithm Based on Graph Regular Tensor Ring Decomposition

Remote Sensing, 2023
This paper introduces a novel hyperspectral image super-resolution algorithm based on graph-regularized tensor ring decomposition aimed at resolving the challenges of hyperspectral image super-resolution.
Shasha Sun, Wenxing Bao, Kewen Qu, Wei Feng, Xiaowu Zhang, Xuan Ma   +5 more
doaj   +1 more source

Correntropy Maximization via ADMM - Application to Robust Hyperspectral Unmixing

, 2016
In hyperspectral images, some spectral bands suffer from low signal-to-noise ratio due to noisy acquisition and atmospheric effects, thus requiring robust techniques for the unmixing problem.
Chen, Badong, Halimi, Abderrahim, Honeine, Paul, Zheng, Nanning, Zhu, Fei   +4 more
core   +2 more sources

Deep learning in remote sensing: a review [PDF]

, 2017
Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields ...
Fraundorfer, Friedrich, Mou, Lichao, Tuia, Devis, Xia, Gui-Song, Xu, Feng, Zhang, Liangpei, Zhu, Xiao Xiang   +6 more
core   +4 more sources

Hyperspectral Imaging

Hyperspectral imaging (HSI) is an advanced sensing modality that simultaneously captures spatial and spectral information, enabling non-invasive, label-free analysis of material, chemical, and biological properties. This Primer presents a comprehensive overview of HSI, from the underlying physical principles and sensor architectures to key steps in ...
Princess Tiffany D. Mendoza, Paul R. Armstrong, Kaliramesh Siliveru   +2 more
  +5 more sources

Novel View Synthesis and Dataset Augmentation for Hyperspectral Data Using NeRF

IEEE Access
Hyperspectral data for the 3D domain is relatively difficult to acquire. Existing hyperspectral datasets are unsuitable for 3D research, suffer from issues of severe data scarcity, and a lack of multi-perspective images of the same object, etc.
Runchuan Ma, Tengfei Ma, Deyu Guo, Sailing He   +3 more
doaj   +1 more source

Deep Learning in Hyperspectral Image Reconstruction from Single RGB images—A Case Study on Tomato Quality Parameters

Remote Sensing, 2020
Hyperspectral imaging has many applications. However, the high device costs and low hyperspectral image resolution are major obstacles limiting its wider application in agriculture and other fields.
Jiangsan Zhao, Dmitry Kechasov, Boris Rewald, Gernot Bodner, Michel Verheul, Nicholas Clarke, Jihong Liu Clarke   +6 more
doaj   +1 more source

Hyperspectral image compression : adapting SPIHT and EZW to Anisotropic 3-D Wavelet Coding [PDF]

, 2008
Hyperspectral images present some specific characteristics that should be used by an efficient compression system. In compression, wavelets have shown a good adaptability to a wide range of data, while being of reasonable complexity.
Christophe, Emmanuel, Duhamel, Pierre, Mailhes, Corinne   +2 more
core   +2 more sources

Correlation Hyperspectral Imaging

Physical Review Letters
Hyperspectral imaging aims at providing information on both the spatial and the spectral distribution of light, with high resolution. However, state-of-the-art protocols are characterized by an intrinsic trade-off imposing to sacrifice either resolution or image acquisition speed.
Gianlorenzo Massaro, Francesco V. Pepe, Milena D’Angelo   +2 more
openaire   +4 more sources