Hierarchical Multiple Endmember Spectral Mixture Analysis (MESMA) of hyperspectral imagery for urban environments

Keywords

Endmember, Impervious surface, Hyperspectral imaging, Remote sensing, Land cover

References

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Cited by

• A multi-temporal spectral library approach for mapping vegetation species across spatial and temporal phenological gradientsKenneth L. Dudley, Philip E. Dennison, Keely L. Roth — 2015
• Use of airborne hyperspectral data and height information to support urban micro-climate characterisationWieke Heldens — 2010
• Estimation of skin optical parameters for real-time hyperspectral imaging applicationsAsgeir Bjørgan — 2014
• Detection of gradients of forest composition in an urban area using imaging spectroscopy.Huan Gu, Aditya Singh, Philip A. Townsend — 2015
• Small-Area Population Estimation: an Integration of Demographic and Geographic TechniquesChengbin Deng — 2013
• Impervious surface extraction in urban areas from high spatial resolution imagery using linear spectral unmixingJian Yang, Peijun Li — 2015
• Quantifying urban land cover by means of machine learning and imaging spectrometer data at multiple spatial scalesAkpona Okujeni — 2014
• Machine learning approaches for forest classification and change analysis using multi-temporal Landsat TM images over Huntington Wildlife ForestManqi Li, Jungho Im, Colin M. Beier — 2013
• Hyperspectral Remote Sensing of Urban AreasPerry J. Hardin, Andrew Hardin — 2013
• Coupling spectral unmixing and multiseasonal remote sensing for temperate dryland land-use/land-cover mapping in Minqin County, ChinaDanfeng Sun, Na Liu — 2015
• Incorporating Endmember Variability into Linear Unmixing of Coarse Resolution Imagery: Mapping Large-Scale Impervious Surface Abundance Using a Hierarchically Object-Based Spectral Mixture AnalysisChengbin Deng — 2015
• Spectral Indices for Estimating Exposed Carbonate Rock Fraction in Karst Areas of Southwest ChinaXiangjian Xie, Peijun Du, Junshi Xia — 2015
• Synergies Between VSWIR and TIR Data for the Urban Environment: An Evaluation of the Potential for the Hyperspectral Infrared Imager (HyspIRI)Dar A. Roberts, Dale A. Quattrochi, Glynn Hulley — 2012
• A Developed Algorithm for Automating the Multiple Bands Multiple Endmember Selection of Hyperion data Applied on Central of Cairo, EgyptWaleed Effat, Osman Hegazy, Mohamed NourEldien — 2013
• Mapping tropical dry forest succession using multiple criteria spectral mixture analysisSen Cao, Qiuyan Yu, Arturo Sánchez‐Azofeifa — 2015
• Automatic Cross-calibration of Multispectral Imagery with Airborne Hyperspectral Imagery Using Spectral Mixture AnalysisKim, Yeji, Чой — 2015
• Flood Mapping Based on Multiple Endmember Spectral Mixture Analysis and Random Forest Classifier - The Case of Yuyao, ChinaQuanlong Feng, Jianhua Gong, Jiantao Liu — 2015
• Mapping the land-cover distribution in arid and semiarid urban landscapes with Landsat Thematic Mapper imageryChi Zhang, Yaoliang Chen, Dengsheng Lu — 2015
• A spatially adaptive spectral mixture analysis for mapping subpixel urban impervious surface distributionChengbin Deng, Changshan Wu — 2013
• Exurban development derived from Landsat from 1986 to 2009 surrounding the District of Columbia, USAMarcela Suarez‐Rubio, Todd R. Lookingbill, Andrew J. Elmore — 2012

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