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Original Articles

Extracting crop radiometric responses from simulated low and high spatial resolution satellite data using a linear mixing model

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Pages 3767-3784 | Received 19 Jun 1992, Accepted 18 Apr 1994, Published online: 07 May 2007

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Hankui K. Zhang, Bo Huang, Ming Zhang, Kai Cao & Le Yu. (2015) A generalization of spatial and temporal fusion methods for remotely sensed surface parameters. International Journal of Remote Sensing 36:17, pages 4411-4445.
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Charles Ichoku & Arnon Karnieli. (1996) A review of mixture modeling techniques for sub‐pixel land cover estimation. Remote Sensing Reviews 13:3-4, pages 161-186.
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Articles from other publishers (13)

Wenzhong Shi, Dizhou Guo & Hua Zhang. (2022) A reliable and adaptive spatiotemporal data fusion method for blending multi-spatiotemporal-resolution satellite images. Remote Sensing of Environment 268, pages 112770.
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Gabriele Moser, Andrea De Giorgi & Sebastiano Bruno Serpico. (2016) Multiresolution Supervised Classification of Panchromatic and Multispectral Images by Markov Random Fields and Graph Cuts. IEEE Transactions on Geoscience and Remote Sensing 54:9, pages 5054-5070.
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Tegan Emerson, Michael Kirby, Chris Peterson & Louis Scharf. (2016) Reduced dimension estimators in matched subspace detection. Reduced dimension estimators in matched subspace detection.
S. Sima, A. Ahmadalipour, M. Shafiee Jood, M. Tajrishy & A. Abrishamchi. (2012) Monitoring Urmia Lake Area Variations Using MODIS Satellite Data. Monitoring Urmia Lake Area Variations Using MODIS Satellite Data.
Gabriele Moser & Sebastiano B. Serpico. (2011) Joint classification of panchromatic and multispectral images by multiresolution fusion through Markov random fields and graph cuts. Joint classification of panchromatic and multispectral images by multiresolution fusion through Markov random fields and graph cuts.
Anne Solberg. 2007. Image Processing for Remote Sensing. Image Processing for Remote Sensing 249 271 .
Lorenzo Cannavacciuolo, William Emery, Gabriele Moser & Sebastiano B. Serpico. (2007) A contextual change detection method for high-resolution optical images of urban areas. A contextual change detection method for high-resolution optical images of urban areas.
G. Storvik, R. Fjortoft & A.H.S. Solberg. (2005) A bayesian approach to classification of multiresolution remote sensing data. IEEE Transactions on Geoscience and Remote Sensing 43:3, pages 539-547.
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V. A. Zaitseva & S. V. Nikonenko. (2000) Matching of light fluxes in the analysis of measurement data with different space resolutions. Journal of Applied Spectroscopy 67:1, pages 166-171.
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B. Zhukov, D. Oertel, F. Lanzl & G. Reinhackel. (1999) Unmixing-based multisensor multiresolution image fusion. IEEE Transactions on Geoscience and Remote Sensing 37:3, pages 1212-1226.
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G.I. Metternicht & A. Fermont. (1998) Estimating Erosion Surface Features by Linear Mixture Modeling. Remote Sensing of Environment 64:3, pages 254-265.
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G.P. Asner, C.A. Wessman & J.L. Privette. (1997) Unmixing the directional reflectances of AVHRR sub-pixel landcovers. IEEE Transactions on Geoscience and Remote Sensing 35:4, pages 868-878.
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K.W. Oleson, S. Sarlin, J. Garrison, S. Smith, J.L. Privette & W.J. Emery. (1995) Unmixing multiple land-cover type reflectances from coarse spatial resolution satellite data. Remote Sensing of Environment 54:2, pages 98-112.
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