Results 131 to 140 of about 1,615,368 (250)

Band Selection via Band Density Prominence Clustering for Hyperspectral Image Classification

Remote Sensing
Band clustering has been widely used for hyperspectral band selection (BS). However, selecting an appropriate band to represent a band cluster is a key issue.
Chein-I Chang, Yi-Mei Kuo, Kenneth Yeonkong Ma   +2 more
doaj   +1 more source

Entering the Era of Directly Supporting Society With Observation‐Based Ocean Acidification Data

Perspectives of Earth and Space Scientists, Volume 7, Issue 1, December 2026.
Abstract Ocean acidification is a growing concern for many nations around the world. However, our capacity to monitor changes in carbonate chemistry with sufficient spatial and temporal resolution, has until now, been limited, which has impeded effective action and decision‐making at international, national, and regional levels.
Helen S. Findlay, Lucile Gaultier, Luke Gregor, Nicolas Gruber, Peter Land, Daniel Ford, Roberto Sabia, Aleluia Taise‐Uili, Stephen Widdicombe, Jan Newton, Kaitlyn Lowder, Jamie Shutler   +11 more
wiley   +1 more source

Lightweight 3D Dense Autoencoder Network for Hyperspectral Remote Sensing Image Classification. [PDF]

Sensors (Basel), 2023
Bai Y, Sun X, Ji Y, Fu W, Duan X.
europepmc   +1 more source

Hyperspectral images segmentation: a proposal [PDF]

, 2009
Hyper-Spectral Imaging (HIS) also known as chemical or spectroscopic imaging is an emerging technique that combines imaging and spectroscopy to capture both spectral and spatial information from an object. Hyperspectral images are made up of contiguous
GORETTA, Nathalie, CHRISTOPHE, Florio, LELONG, Camille, Fiorio, Christophe, ROGER, Jean-Michel, Gorretta, Nathalie, Bellon Maurel, Véronique, RABATEL, Gilles, BELLON-MAUREL, Véronique   +8 more
core  

The Benefits of High Resolution Multispectral TIR Data and Its Impending Loss by NASA After Four Decades

Perspectives of Earth and Space Scientists, Volume 7, Issue 1, December 2026.
Abstract NASA has led multispectral (≥3 wavelength bands) thermal infrared (TIR) sensor development from the earliest days of the agency. These data are critical in addressing a wide range of scientific questions and administration priories by measuring both temperature (for wildfire and volcanic eruption monitoring, agricultural plant stress, and ...
M. S. Ramsey, K. Cawse‐Nicholson, J. B. Fisher, S. J. Hook, G. C. Hulley, C. M. Lee, M. Silvestri, J. O. Thompson, I. M. Watson   +8 more
wiley   +1 more source

A novel method based on high‐resolution imaging spectroscopy to predict fine‐root traits and the economics space of fresh tree roots

New Phytologist, Volume 252, Issue 5, Page 1816-1831, December 2026.
Maps of the estimated root nitrogen concentration in the < 0.5‐mm‐diameter classes of 20 woody species based on the imaging spectroscopy using the shortwave infrared spectral region. See also the Commentary on this article by Rewald, 252: 1695–1699.
Naoki Makita, Natsuko Tanikawa, Tatsuro Nakaji   +2 more
wiley   +1 more source

SpectralMAE: Spectral Masked Autoencoder for Hyperspectral Remote Sensing Image Reconstruction. [PDF]

Sensors (Basel), 2023
Zhu L, Wu J, Biao W, Liao Y, Gu D.
europepmc   +1 more source

A New Physics‐Constrained Neural Network Approach to Retrieve CH4 Vertical Profiles From Hyperspectral Infrared Data

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 21, 16 November 2026.
Abstract Methane (CH4 ${\text{CH}}_{4}$) is a critical greenhouse gas, and accurate monitoring of its vertical distribution is essential for understanding its radiative impact and identifying emission sources. This paper introduces a novel methodology using a physics‐constrained neural network based on soft constraints to retrieve CH4 ${\text{CH}}_{4}$
Rocco Giosa, Marco D’Emilio, Pamela Pasquariello, Guido Masiello, Carmine Serio, Maria Ragosta, Francesco Carbone, Christian Natale Gencarelli, Italia De Feis, Diana Carolina Fonnegra Mora, Lorenzo Cassini, Raffaele Inglese, Giuliano Liuzzi   +12 more
wiley   +1 more source

Atmospheric correction of vegetation reflectance with simulation-trained deep learning for ground-based hyperspectral remote sensing. [PDF]

Plant Methods, 2023
Qamar F, Dobler G.
europepmc   +1 more source

Image‐Based Multivariate Curve Resolution and Scalar Field Analysis of ERA5 Precipitation Over the Iberian Peninsula

Journal of Chemometrics, Volume 40, Issue 11, November 2026.
ABSTRACT Gridded climate reanalysis datasets can be viewed as image cubes, yet chemometric decomposition methods remain underutilized in climate data analysis. This study applied pixel‐based Multivariate Curve Resolution–Alternating Least Squares (MCR‐ALS) with a trilinearity constraint to ERA5 precipitation data over the Iberian Peninsula (1940–2024).
Stefan Platikanov, Antoni Ginebreda, Romà Tauler   +2 more
wiley   +1 more source