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International Journal of Remote Sensing Volume 29, 2008 - Issue 10
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Original Articles

Feasibility of neural network approach in spectral mixture analysis of reflectance spectra

Jyotsna Ravi Departmento de Fisica, Universidad de Concepcion, Catilla 160 C, Concepcion, 4089100, ChileCorrespondence[email protected]
,
SebastianThomas Lee Departmento de Fisica, Universidad de Concepcion, Catilla 160 C, Concepcion, 4089100, Chile
,
Manidurai Paulraj Departmento de Fisica, Universidad de Concepcion, Catilla 160 C, Concepcion, 4089100, Chile
&
Rolando Hernandez Departmento de Fisica, Universidad de Concepcion, Catilla 160 C, Concepcion, 4089100, Chile
Pages 2981-2992 | Received 01 Feb 2007, Accepted 04 Apr 2007, Published online: 29 Apr 2008

Citations (9)

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Read on this site (2)

Carmen Quintano, Alfonso Fernández-Manso, YosioE. Shimabukuro & Gabriel Pereira. (2012) Spectral unmixing. International Journal of Remote Sensing 33:17, pages 5307-5340.
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L. Bennun & A. Delgado. (2009) Reply to ‘Feasibility of neural network approach in spectral mixture analysis of reflectance spectra’. International Journal of Remote Sensing 30:18, pages 4905-4907.
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Articles from other publishers (7)

Stéphane Jacquemoud & Susan Ustin. 2019. Leaf Optical Properties. Leaf Optical Properties.
Lei Ma, Jin Chen, Yuan Zhou & Xuehong Chen. (2016) Two-Step Constrained Nonlinear Spectral Mixture Analysis Method for Mitigating the Collinearity Effect. IEEE Transactions on Geoscience and Remote Sensing 54:5, pages 2873-2886.
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Xiaohua Tong, Xue Zhang, Jie Shan, Huan Xie & Miaolong Liu. (2013) Attraction-Repulsion Model-Based Subpixel Mapping of Multi-/Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing 51:5, pages 2799-2814.
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Xuehong Chen, Jin Chen, Xiuping Jia, Ben Somers, Jin Wu & Pol Coppin. (2011) A Quantitative Analysis of Virtual Endmembers' Increased Impact on the Collinearity Effect in Spectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing 49:8, pages 2945-2956.
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Nareenart Raksuntorn & Qian Du. (2010) Nonlinear Spectral Mixture Analysis for Hyperspectral Imagery in an Unknown Environment. IEEE Geoscience and Remote Sensing Letters 7:4, pages 836-840.
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Nareenart Raksuntorn & Qian Du. (2009) Nonlinear mixture analysis for hyperspectral imagery. Nonlinear mixture analysis for hyperspectral imagery.
Bo Zhang, Franklin W Schwartz & Daoqin Tong. (2009) LANDSAT Sub-pixel Analysis in Mapping Impact of Climatic Variability on Prairie Pothole Changes. Transactions in GIS 13:2, pages 179-195.
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