Modern trends in hyperspectral image analysis: A review

MJ Khan, HS Khan, A Yousaf, K Khurshid… - Ieee …, 2018‏ - ieeexplore.ieee.org
Over the past three decades, significant developments have been made in hyperspectral
imaging due to which it has emerged as an effective tool in numerous civil, environmental …

A survey on computational spectral reconstruction methods from RGB to hyperspectral imaging

J Zhang, R Su, Q Fu, W Ren, F Heide, Y Nie - Scientific reports, 2022‏ - nature.com
Hyperspectral imaging enables many versatile applications for its competence in capturing
abundant spatial and spectral information, which is crucial for identifying substances …

The ECOSTRESS spectral library version 1.0

SK Meerdink, SJ Hook, DA Roberts… - Remote Sensing of …, 2019‏ - Elsevier
Abstract In June 2018, the ECOsystem Spaceborne Thermal Radiometer Experiment on
Space Station (ECOSTRESS) mission was launched to measure plant temperatures and …

Learning spatial-spectral prior for super-resolution of hyperspectral imagery

J Jiang, H Sun, X Liu, J Ma - IEEE Transactions on …, 2020‏ - ieeexplore.ieee.org
Recently, single gray/RGB image super-resolution reconstruction task has been extensively
studied and made significant progress by leveraging the advanced machine learning …

Map** functional diversity from remotely sensed morphological and physiological forest traits

FD Schneider, F Morsdorf, B Schmid… - Nature …, 2017‏ - nature.com
Assessing functional diversity from space can help predict productivity and stability of forest
ecosystems at global scale using biodiversity–ecosystem functioning relationships. We …

Advances in hyperspectral remote sensing of vegetation and agricultural crops

PS Thenkabail, JG Lyon, A Huete - Fundamentals, sensor systems …, 2018‏ - taylorfrancis.com
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …

Statistics of real-world hyperspectral images

A Chakrabarti, T Zickler - CVPR 2011, 2011‏ - ieeexplore.ieee.org
Hyperspectral images provide higher spectral resolution than typical RGB images by
including per-pixel irradiance measurements in a number of narrow bands of wavelength in …

Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle

JAJ Berni, PJ Zarco-Tejada, L Suárez… - IEEE Transactions on …, 2009‏ - ieeexplore.ieee.org
Two critical limitations for using current satellite sensors in real-time crop management are
the lack of imagery with optimum spatial and spectral resolutions and an unfavorable revisit …

Remote sensing of plant functional types

SL Ustin, JA Gamon - New Phytologist, 2010‏ - Wiley Online Library
Conceptually, plant functional types represent a classification scheme between species and
broad vegetation types. Historically, these were based on physiological, structural and/or …

Hyperspectral imaging and its applications: A review

A Bhargava, A Sachdeva, K Sharma, MH Alsharif… - Heliyon, 2024‏ - cell.com
Hyperspectral imaging has emerged as an effective powerful tool in plentiful military,
environmental, and civil applications over the last three decades. The modern remote …