Development of a Class-Based Multiple Endmember Spectral Mixture Analysis (C-MESMA) Approach for Analyzing Urban Environments

By Deng Yingbin   Wu Changshan  

Remote Sensing, Vol. 8, Iss. 4, 2016-04 ,pp. : 349-349

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Evaluating Endmember and Band Selection Techniques for Multiple Endmember Spectral Mixture Analysis using Post-Fire Imaging Spectroscopy

By Tane Zachary   Roberts Dar   Veraverbeke Sander   Casas Ángeles   Ramirez Carlos   Ustin Susan  

Remote Sensing, Vol. 10, Iss. 3, 2018-03 ,pp. : 389-389

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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

By Deng Chengbin  

Remote Sensing, Vol. 7, Iss. 7, 2015-07 ,pp. : 9205-9229

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Mapping Robinia Pseudoacacia Forest Health Conditions by Using Combined Spectral, Spatial, and Textural Information Extracted from IKONOS Imagery and Random Forest Classifier

By Wang Hong   Zhao Yu   Pu Ruiliang   Zhang Zhenzhen  

Remote Sensing, Vol. 7, Iss. 7, 2015-07 ,pp. : 9020-9044

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The Utility of AISA Eagle Hyperspectral Data and Random Forest Classifier for Flower Mapping

By Abdel-Rahman Elfatih M.   Makori David M.   Landmann Tobias   Piiroinen Rami   Gasim Seif   Pellikka Petri   Raina Suresh K.  

Remote Sensing, Vol. 7, Iss. 10, 2015-10 ,pp. : 13298-13318

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