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Incorporating Endmember Variability into Linear Unmixing of Coarse Resolution Imagery: Mapping Large-Scale Impervious Surface Abundance Using a Hierarchically Object-Based Spectral Mixture Analysis
2015
Remote Sensing
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Although spectral mixture analysis (SMA) can provide spatial distribution and quantitative fractions for better representations of urban areas, this technique is rarely explored with 1-km resolution imagery ...
To solve these two problems, a hierarchically object-based SMA (HOBSMA) was developed (1) to extrapolate local endmembers for regional spectral library construction; and (2) to incorporate endmember variability ...
mapping subpixel urban impervious surface distribution at the 1-km resolution. ...
doi:10.3390/rs70709205
fatcat:to5ktlreznfchbwzhttokmvcde
Hierarchical Multiple Endmember Spectral Mixture Analysis (MESMA) of hyperspectral imagery for urban environments
2009
Remote Sensing of Environment
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The ability of MESMA to incorporate within-class spectral variability, combined with a hierarchical approach that uses spatial information from one level to constrain model selection at a higher level ...
In this paper, Multiple Endmember Spectral Mixture Analysis (MESMA) was applied to map urban land cover using HyMap data acquired over the city of Bonn, Germany. ...
Acknowledgements Data acquisition with the Hyperspectral Mapper (HyMap) was carried out by the German Aerospace Center (DLR). ...
doi:10.1016/j.rse.2009.03.018
fatcat:5z3rypuexretxhjgvikgjyuxqy
Spectral Mixture Analysis of the Urban Landscape in Indianapolis with Landsat ETM+ Imagery
2004
Photogrammetric Engineering and Remote Sensing
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This paper examines characteristics of urban land-use and land-cover (LULC) classes using spectral mixture analysis (SMA), and develops a conceptual model for characterizing urban LULC patterns. ...
Five image endmembers (shade, green vegetation, impervious surface, dry soil, and dark soil) were selected, and an unconstrained least-squares solution was used to un-mix the MNF components into fraction ...
As the spatial resolution interacts with the fabric of urban landscapes, a spe-Spectral Mixture Analysis of the Urban Landscape in Indianapolis with Landsat ETM+ Imagery Dengsheng Lu and Qihao Weng cial ...
doi:10.14358/pers.70.9.1053
fatcat:m2txbkimwneovmalnttrp4wzre
Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends
2012
Remote Sensing of Environment
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networks The knowledge of impervious surfaces, especially the magnitude, location, geometry, spatial pattern of impervious surfaces and the perviousness-imperviousness ratio, is significant to a range ...
In contrast, there is less interest in spectral and geometric properties of impervious surfaces. ...
(b) Impervious surface map generated by the ANN model, with an accuracy of 12.3% for the whole study area. (3) Impervious surface map resulted from linear spectral mixture analysis, with an accuracy of ...
doi:10.1016/j.rse.2011.02.030
fatcat:x3pcns7lcfebvcyltt2ungfd7y
Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey
2011
Remote Sensing
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With the 2015 launch of the spaceborne EnMAP mission, a new hyperspectral sensor with high signal-to-noise ratio at medium spatial resolution, and a 21 day global revisit capability will become available ...
First and foremost, research is required to analyze the spectral information content of an EnMAP pixel used to support material-based land cover mapping approaches. ...
in the frame of the EnMAP preparation activities and is sponsored by the Space Agency of the German Aerospace Center (DLR) through funds of the Federal Ministry of Economics and Technology, following a ...
doi:10.3390/rs3091817
fatcat:dugumwcfgbhsbo4czvxpsiyoy4
Assimilation of endmember variability in spectral mixture analysis for urban land cover extraction
2013
Advances in Space Research
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VECLS is first tested with a computer simulated three class endmember considering four bands having small, medium and large variability with three different spatial resolutions. ...
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 ...
Recently, a pre-screened and normalised MESMA which includes a new endmember selection strategy and an integration of the normalised spectral mixture analysis (NSMA) and MESMA for estimating impervious ...
doi:10.1016/j.asr.2013.08.022
fatcat:2aszfnt5ezctbfzheffrdezkpi
Imaging Spectroscopy of Urban Environments
2018
Surveys in geophysics
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The diverse vertical structures, highly frequent spatial change and a great variety of materials cause challenges for urban environmental mapping with Earth observation data, especially at the 30 m spatial ...
The high spectral information content of such data is expected to improve accuracies and thematic detail of maps on urban composition and urban environmental condition. ...
Acknowledgements The authors are grateful to the editors of the special issue and the organizers of the ISSI workshop on Exploring the Earth's Ecosystems at a Global Scale with Imaging Spectroscopy Data ...
doi:10.1007/s10712-018-9486-y
fatcat:wxouaehh2radloag4smld64csm
How do modern transportation projects impact on development of impervious surfaces via new urban area and urban intensification? Evidence from Hangzhou Bay Bridge, China
2018
Land Use Policy
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We owe a debt of gratitude to anonymous referees for their thoughtful comments that improved conent of this paper. ...
If changes in impervious surfaces can be quantified using continuous surface maps (as opposed to thematic maps) to characterize spatial distribution, pattern and temporal variation, this can yield comprehensive ...
The ISFs images were computed by applying Multiple Endmember Spectral Mixture Analysis (MESMA) to these data sets (see Shahtahmassebi et al., 2014 for full methods and accuracy assessment). ...
doi:10.1016/j.landusepol.2018.05.059
fatcat:4ogaujhg7jdzne5drw5pytfuxa
Vegetation and Soil Fire Damage Analysis Based on Species Distribution Modeling Trained with Multispectral Satellite Data
2019
Remote Sensing
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In addition, it built continuous suitability surfaces from which the burned surface area and burn severity maps were built. ...
In this study, we quantify wildfire damage to vegetation and soil based on the analysis of burn severity, using multitemporal and multispectral satellite data and species distribution models, particularly ...
The technique most commonly used to unmix the original image is the spectral mixture analysis (SMA) [54] . ...
doi:10.3390/rs11151832
fatcat:oilw3qi6vfcsdoaigjv67u45ye
Measuring the quality of life in city of Indianapolis by integration of remote sensing and census data
2007
International Journal of Remote Sensing
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Environmental variables, i.e. greenness, impervious surface and temperature, were derived from a Landsat ETM + image. ...
Each factor was viewed as a unique aspect of the quality of life. A synthetic index of the urban quality of life was created and mapped based on weighted factor scores of the three factors. ...
Vegetation abundance and impervious surface are more accurate representation of urban morphological composition. They can be obtained by using the technique of spectral mixture analysis (SMA). ...
doi:10.1080/01431160600735624
fatcat:tymwcmx6pbew3eixjk74fxit5m
A multiprocess model of adaptable complexity for impervious surface detection
2011
International Journal of Remote Sensing
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Franke et al. (2009) used a hierarchical approach and applied Multiple Endmember Spectral Mixture Analysis (MESMA) to map four levels of complexity of land cover classes. ...
; (2) spectral mixture analysis models (Wu and Murray 2003 , Braun and Herold 2004 , Powell et al. 2007 , De Voorde et al. 2009 ), which were used to calculate impervious surface fractions within a pixel ...
doi:10.1080/01431161.2010.532177
fatcat:jvpved5vibbxrhect2pugb4j5a
Quantitative Analysis of DART Calibration Accuracy for Retrieving Spectral Signatures Over Urban Area
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Therefore, it is potentially a handy spectral unmixing tool. ...
DART calibration is an iterative inversion method that is applied to shortwave (SW) satellite images to get maps of spectral signatures (SS) of city materials at the satellite spatial resolution. ...
Mixed pixels are generally analyzed using either a linear spectral mixture analysis (LSMA) or nonlinear spectral mixture analysis (NLSMA) [11] [12] [13] [14] [15] . ...
doi:10.1109/jstars.2021.3110811
fatcat:xpovrudvtjh6xlybj5ypblscyy
Spectral Variability in Hyperspectral Data Unmixing: A Comprehensive Review
[article]
2021
arXiv
pre-print
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This resulted in the development of algorithms that incorporate different strategies to allow the EMs to vary within a hyperspectral image, using, for instance, sets of spectral signatures known a priori ...
Traditional spectral unmixing (SU) algorithms neglect the spectral variability of the endmembers, what propagates significant mismodeling errors throughout the whole unmixing process and compromises the ...
The Multiple Endmember Spectral Mixture Analysis (MESMA) algorithm [37] and its variants (sometimes also referred to as iterative mixture analysis cycles) are among the most widely used algorithms for ...
arXiv:2001.07307v3
fatcat:6ambb6x2pzgoxott3jqt3hts2i
Integrating intermediate inputs from partially classified images within a hybrid classification framework: An impervious surface estimation example
2010
Remote Sensing of Environment
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The implementation of intermediate inputs on an impervious surface classification task using a 2001 Landsat ETM+ image from central New York was demonstrated. ...
These additional intermediate inputs were based on spatial and texture statistics calculated on a partially classified image. ...
Franke et al. (2009) applied a hierarchical multiple endmember spectral mixture analysis (MESMA) approach to map urban land cover. ...
doi:10.1016/j.rse.2010.01.008
fatcat:m7uqdfbkqbgxvosr6dxwjioufi
Sociodemographic Characterization of Urban Areas Using Nighttime Imagery, Google Earth, Landsat, and "Social" Ground Truthing
[chapter]
2018
Urban Remote Sensing
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Estimating impervious surface distribution by spectral mixture analysis. Remote Sensing Environ., 84, 493-505.Borel, C.C. and Gerstl, S.A.W. 1994. ...
Chapter 5 introduces a new approach, the Bayesian spectral mixture analysis, in which endmember spectral signatures are no longer assumed as constants. ...
doi:10.1201/9781315166612-23
fatcat:rwvdjlh6creqhpcq67zpdnpg7q
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