Remote Sensing, 2022 The impervious surface area (ISA) is a key indicator of urbanization, which brings out serious adverse environmental and ecological consequences. The ISA is often estimated from remotely sensed data via spectral mixture analysis (SMA).
Linke Ouyang +8 more
doaj +1 more source
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches [PDF]
, 2012 Imaging spectrometers measure electromagnetic energy scattered in their instantaneous field view in hundreds or thousands of spectral channels with higher spectral resolution than multispectral cameras.
Paul Gader +13 more
core +1 more source
Assimilation of endmember variability in spectral for urban land cover extraction mixture analysis [PDF]
, 2013 Variable Endmember Constrained Least Square (VECLS) technique is proposed to account endmember variability in the linear mixture model by incorporating the variance for each class, the signals of which varies from pixel to pixel due to change in urban ...
Ramachandra, TV +3 more
core +1 more source
Geophysical Monograph Series, Page 137-165., 2020 This book is Open Access. A digital copy can be downloaded for free from Wiley Online Library.
Explores the behavior of carbon in minerals, melts, and fluids under extreme conditions
Carbon trapped in diamonds and carbonate-bearing rocks in subduction zones are examples of the continuing exchange of substantial carbon ...
Konstantin Litasov +3 more
wiley +1 more source
Spectral endmember variability on hyperspectral datasets of a martian meteorite — implications for planetary surfaces [PDF]
Icarus, 2021 Abstract Visible-near-infrared reflectance spectra reveal clues about the mineralogy and composition of planetary surfaces. In most cases, light interacts with a mixture of various components on planetary surfaces. While radiative transfer models have been developed to simulate mixture in particulate surfaces, the extent to which spectral features ...
Pan, Lu +4 more
openaire +3 more sources
Endmember Bundle Extraction based on Multi-objective Optimization [PDF]
, 2021 A number of endmember extraction methods have been developed to identify pure pixels in hyperspectral images (HSIs). The majority of them use only one spectrum to represent one kind of material, which ignores the spectral variability problem that ...
Liu, Rong, Zhu, Xiao Xiang
core +1 more source
A Novel Spectral Library Pruning Technique for Spectral Unmixing of Urban Land Cover
Remote Sensing, 2017 Spectral unmixing of urban land cover relies on representative endmember libraries. For repeated mapping of multiple cities, the use of a generic spectral library, capturing the vast spectral variability of urban areas, would constitute a more ...
Jeroen Degerickx +5 more
doaj +1 more source
Spectrometry of the Urban Lightscape
Technologies, 2022 NASA’s Gateway to Astronaut Photography of Earth contains over 30,000 photos of ~2500 cataloged urban lightscapes (anthropogenic night light) taken from the International Space Station.
Christopher Small
doaj +1 more source
Region-Based Estimate of Endmember Variances for Hyperspectral Image Unmixing [PDF]
, 2016 Endmember variability is receiving growing attention in the hyperspectral image (HSI) unmixing field. As an extension of linear mixing model (LMM), normal compositional model (NCM) assumes that the pixels of the HSI are linear combinations of random ...
Zhang, Bing, Gao, Lianru, Zhuang, Lina
core +1 more source
Remote Sensing, 2023 Spectral unmixing is one of the prime topics in hyperspectral image analysis, as images often contain multiple sources of spectra. Spectral variability is one of the key factors affecting unmixing accuracy, since spectral signatures are affected by ...
Ying Cheng +3 more
doaj +1 more source