A comparative analysis of tensor decomposition models using hyper spectral image

Evolutionary tensor train decomposition for hyper-spectral remote sensing images

R Solgi, HA Loaiciga, Z Zhang - IGARSS 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Hyper-spectral images are widely used for mapping and remote sensing of the Earth's
surface. Different tensor decomposition methods have been applied for hyper-spectral …
被引用次数：6 相关文章

Application and analysis of hyperspectal imaging

A Sharma, D Kaur, A Gupta… - 2019 5th International …, 2019 - ieeexplore.ieee.org
Hyperspectral imaging is an incline approach in far off sensing that excavates its application
in many special regions, consisting of agriculture, mapping, goal detection, meals best …
被引用次数：9 相关文章

Application of hyperspectral image anomaly detection algorithm for Internet of things

X Wang, G Luo, L Tian - Multimedia Tools and Applications, 2019 - Springer
Hyperspectral image (HSI) anomaly detection, as one of the hottest topics in current remote
sensing information processing and image processing, has important theoretical value and …
被引用次数：9 相关文章 所有 4 个版本

Anomaly detecting in hyperspectral imageries based on tensor decomposition with spectral and spatial partitioning

X Zhang, G Wen, W Dai - 2015 8th International Congress on …, 2015 - ieeexplore.ieee.org
Due to the multidimensional nature of the hyperspectral image (HSI), multi-way arrays
(called tensor) are one of the possible solutions for analyzing such data. In tensor algebra …
被引用次数：9 相关文章