Results 81 to 90 of about 1,362 (207)
A novel approach for endmember bundle extraction using spectral space splitting [PDF]
The traditional endmember extraction methods search for a fixed set of endmembers, each one assigned to a single material. However, in many real applications, the materials of interest may present spectral variability which is related to subtle ...
Müller, Rupert +7 more
core +1 more source
A Transformer-Based Framework for Spatiotemporal Unmixing of Land–Water Mixtures in Multispectral Satellite Data [PDF]
Spectral unmixing is essential for analyzing mixed pixels in remote sensing, though it has traditionally focused on hyperspectral data. Multispectral Sentinel-2 imagery, despite its wide availability and relevance for environmental monitoring, has seen ...
A. B. Nguyen, A. Schenk, S. Hinz
doaj +1 more source
Abstract We present the first micrometer‐scale, phase‐resolved compositional characterization of impact melt glass from the Hapcheon crater (~1.4 km apparent diameter), the first confirmed impact structure on the Korean Peninsula, integrating EPMA‐WDS (5 μm spot), confocal Raman spectroscopy (<1 μm spot), XRD, and 40Ar/39Ar step‐heating geochronology ...
Jin‐Young Lee +2 more
wiley +1 more source
Normal Endmember Spectral Unmixing Method for Hyperspectral Imagery [PDF]
The normal compositional model (NCM) has been introduced to characterize mixed pixels in hyperspectral images, particularly when endmember variability needs to be considered in the unmixing process.
Li, Jun +4 more
core +1 more source
Improving Discrimination of Savanna Tree Species Through a Multiple-Endmember Spectral Angle Mapper Approach: Canopy-Level Analysis [PDF]
Differences in within-species phenology and structure are controlled by genetic variation, as well as topography, edaphic properties, and climatic variables across the landscape, and present important challenges to species differentiation with remote ...
Mathieu, R. +5 more
core +3 more sources
Spectral unmixing approach in hyperspectral remote sensing: a tool for oil palm mapping
Oil palm plantations typically span large areas; therefore, remote sensing has become a useful tool for advanced oil palm monitoring. This work reviews and evaluates two approaches to analyze oil palm plantations based on hyperspectral remote sensing ...
Hector Vargas +2 more
doaj +1 more source
ABSTRACT Rationale Vehicular traffic is a major source of anthropogenic greenhouse gases in megacities; however, real‐world constraints on vehicle‐derived N2O emissions and their isotopic characteristics remain limited. Methods Air samples were collected from three tunnels and urban background sites (a university campus and mountain) in Seoul, South ...
Jeongeun Kim +7 more
wiley +1 more source
Unmixing urban hyperspectral imagery with a Gaussian mixture model on endmember variability
In this paper, we model a pixel as a linear combination of endmembers sampled from probability distributions of Gaussian mixture models (GMM). The parameters of the GMM distributions are estimated using spectral libraries. Abundances are estimated based on the distribution parameters.
Yuan Zhou 0004 +2 more
openaire +2 more sources
Optimal endmember-based super-resolution land cover mapping [PDF]
Super-resolution mapping (SRM) aims to determine the spatial distribution of the land cover classes contained in the area represented by mixed pixels to obtain a more appropriate and accurate map at a finer spatial resolution than the input remotely ...
Du, Yun +6 more
core +1 more source
Since the 2000s, bioenergy land use has been rapidly expanded in U.S. agricultural lands. Monitoring this change with limited acquisition of remote sensing imagery is difficult because of the similar spectral properties of crops. While phenology-assisted
Cheng Zhong, Cuizhen Wang, Changshan Wu
doaj +1 more source

