Results 71 to 80 of about 11,195 (191)

Improving the Transferability of Suspended Solid Estimation in Wetland and Deltaic Waters with an Empirical Hyperspectral Approach

open access: yesRemote Sensing, 2019
The deposition of suspended sediment is an important process that helps wetlands accrete surface material and maintain elevation in the face of sea level rise.
Daniel Jensen   +6 more
doaj   +1 more source

Silica in a Mars analog environment: Ka'u Desert, Kilauea Volcano, Hawaii [PDF]

open access: yes, 2010
Airborne Visible/Near-Infrared Imaging Spectrometer (AVIRIS) data acquired over the Ka'u Desert are atmospherically corrected to ground reflectance and used to identify the mineralogic components of relatively young basaltic materials, including 250–700 ...
Arvidson, Raymond E.   +6 more
core   +1 more source

Inferring End‐Members From Geoscience Data Using Simplex Projected Gradient Descent‐Archetypal Analysis

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 2, June 2025.
Abstract End‐member mixing analysis (EMMA) is widely used to analyze geoscience data for their end‐members and mixing proportions. Many traditional EMMA methods depend on known end‐members, which are sometimes uncertain or unknown. Unsupervised EMMA methods infer end‐members from data, but many existing ones don't strictly follow necessary constraints ...
Zanchenling Wang, Tao Wen
wiley   +1 more source

Semi-supervised linear spectral unmixing using a hierarchical Bayesian model for hyperspectral imagery [PDF]

open access: yes, 2007
This paper proposes a hierarchical Bayesian model that can be used for semi-supervised hyperspectral image unmixing. The model assumes that the pixel reflectances result from linear combinations of pure component spectra contaminated by an additive ...
Chein-i Chang   +4 more
core   +6 more sources

Analysis and Extension of the Ponomarenko et al. Method, Estimating a Noise Curve from a Single Image

open access: yesImage Processing On Line, 2013
In the article "An Automatic Approach to Lossy Compression of AVIRIS Images" N.N. Ponomarenko et al. propose a new method to specifically compress AVIRIS images.
Miguel Colom, Antoni Buades
doaj   +1 more source

AVIRIS data characteristics and their effects on spectral discrimination of rocks exposed in the Drum Mountains, Utah: Results of a preliminary study [PDF]

open access: yes
Airborne Visible and Infrared Imaging Spectrometer (AVIRIS) data collected over a geologically diverse field site and over a nearby calibration site were analyzed and interpreted in efforts to document radiometric and geometric characteristics of AVIRIS,
Bailey, G. B.   +2 more
core   +1 more source

Performance of Airborne Imaging Spectrometers for Carbon Dioxide Detection and Emission Quantification

open access: yesJournal of Geophysical Research: Atmospheres, Volume 130, Issue 7, 16 April 2025.
Abstract Carbon dioxide (CO2) emissions from strong point sources account for a significant proportion of the global greenhouse gas emissions, and their associated uncertainties in bottom‐up estimates remain substantial. Imaging spectrometers provide a capability to monitor large point source CO2 emissions and help reduce the uncertainties.
Jinsol Kim   +5 more
wiley   +1 more source

A novel semi-fragile forensic watermarking scheme for remote sensing images [PDF]

open access: yes, 2011
Peer-reviewedA semi-fragile watermarking scheme for multiple band images is presented. We propose to embed a mark into remote sensing images applying a tree structured vector quantization approach to the pixel signatures, instead of processing each band ...
Aiazzi B.   +24 more
core   +1 more source

The Unstable Relationship Between Drought Status and Leaf Water Content Complicates the Remote Sensing of Tree Drought Stress

open access: yesGlobal Change Biology, Volume 31, Issue 4, April 2025.
Remote sensing can monitor plant drought stress across ecosystems but is limited by uncertain links between physiological stress and measurements of water content. We examined how water potential and water content, measured in the field, laboratory, and via airborne imaging, vary over time and space in two oak species.
Indra Boving   +5 more
wiley   +1 more source

Non-Gaussian Linear Mixing Models for Hyperspectral Images

open access: yesJournal of Electrical and Computer Engineering, 2012
Modeling of hyperspectral data with non-Gaussian distributions is gaining popularity in recent years. Such modeling mostly concentrates on attempts to describe a distribution, or its tails, of all image spectra.
Peter Bajorski
doaj   +1 more source

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