Advances in hyperspectral image and signal processing: A comprehensive overview of the state of the art

P Ghamisi, N Yokoya, J Li, W Liao, S Liu… - … and Remote Sensing …, 2017 - ieeexplore.ieee.org
Recent advances in airborne and spaceborne hyperspectral imaging technology have
provided end users with rich spectral, spatial, and temporal information. They have made a …

A review of change detection in multitemporal hyperspectral images: Current techniques, applications, and challenges

S Liu, D Marinelli, L Bruzzone… - IEEE Geoscience and …, 2019 - ieeexplore.ieee.org
We review both widely used methods and new techniques proposed in the recent literature.
The basic concepts, categories, open issues, and challenges related to CD in HS images …

Multimodal hyperspectral remote sensing: An overview and perspective

Y Gu, T Liu, G Gao, G Ren, Y Ma, J Chanussot… - Science China …, 2021 - Springer
Since the advent of hyperspectral remote sensing in the 1980s, it has made important
achievements in aerospace and aviation field and been applied in many fields …

Tensor-based anomaly detection: An interdisciplinary survey

H Fanaee-T, J Gama - Knowledge-based systems, 2016 - Elsevier
Traditional spectral-based methods such as PCA are popular for anomaly detection in a
variety of problems and domains. However, if data includes tensor (multiway) structure (eg …

Joint dictionary learning for multispectral change detection

X Lu, Y Yuan, X Zheng - IEEE transactions on cybernetics, 2016 - ieeexplore.ieee.org
Change detection is one of the most important applications of remote sensing technology. It
is a challenging task due to the obvious variations in the radiometric value of spectral …

Spectral-spatial classification for noninvasive cancer detection using hyperspectral imaging

G Lu, L Halig, D Wang, X Qin… - Journal of biomedical …, 2014 - spiedigitallibrary.org
Early detection of malignant lesions could improve both survival and quality of life of cancer
patients. Hyperspectral imaging (HSI) has emerged as a powerful tool for noninvasive …

An unsupervised binary and multiple change detection approach for hyperspectral imagery based on spectral unmixing

H Jafarzadeh, M Hasanlou - IEEE Journal of Selected Topics in …, 2019 - ieeexplore.ieee.org
Over the last decade, developments in hyperspectral sensors have caused an increase in
the use of hyperspectral images (HSIs) due to fine spectral resolution, which has lead to the …

Spectral-spatial classification using tensor modeling for cancer detection with hyperspectral imaging

G Lu, L Halig, D Wang, ZG Chen… - Medical Imaging 2014 …, 2014 - spiedigitallibrary.org
As an emerging technology, hyperspectral imaging (HSI) combines both the chemical
specificity of spectroscopy and the spatial resolution of imaging, which may provide a non …

Multi-aspect-streaming tensor analysis

H Fanaee-T, J Gama - Knowledge-Based Systems, 2015 - Elsevier
Tensor analysis is a powerful tool for multiway problems in data mining, signal processing,
pattern recognition and many other areas. Nowadays, the most important challenges in …

Multi-temporal mesoscale hyperspectral data of mixed agricultural and grassland regions for anomaly detection

C McCann, KS Repasky, R Lawrence… - ISPRS Journal of …, 2017 - Elsevier
Flight-based hyperspectral imaging systems have the potential to provide valuable
information for ecosystem and environmental studies, as well as aid in land management …