XXII ISPRS Congress 2012: Technical Commission VII

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Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VII/4: METHODS FOR LAND COVER CLASSIFICATION]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: SPATIAL INTERPOLATION AS A TOOL FOR SPECTRAL UNMIXING OF REMOTELY SENSED IMAGES Li Xi, Chen Xiaoling

Document type:: Multivolume work

Structure type:: Chapter

ACKNOWLEDGEMENTS This research was supported by National Natural Science Foundation of China under grant no. 41101413 and Ph.D. Programs Foundation of Ministry of Education of China under grant no. 20110141120073. REFERENCES Brown, M., S. R. Gunn and H. G. Lewis, 1999, Support vector machines for optimal classification and spectral unmixing. Ecological Modelling, 120(2-3): pp. 167- 179. Freeman, W. T., T. R. Jones and E. C. Pasztor, 2002. Example- based super-resolution. /EEE Computer Graphics and Applications, 22(2): pp. 56-65. Heinz, D. C. and C. I. Chang, 2001. Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery. IEEE Transactions on Geoscience and Remote Sensing, 39(3): pp. 529-545. Huang, C. and J. R. G. Townshend, 2003. A stepwise regression tree for nonlinear approximation: applications to estimating subpixel land cover. International Journal of Remote Sensing, 24(1): pp. 75-90. Kim, K. I. and Y. Kwon, 2010. Single-Image super-resolution using sparse regression and natural image prior. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(6): pp. 1127-1133. Kimes, D. S. and R. F. Nelson, 1998. Attributes of neural networks for extracting continuous vegetation variables from optical and radar measurements. International Journal of Remote Sensing, 19(14): pp. 2639-2663. Lee, S. and R. G. Lathrop, 2006. Subpixel analysis of Landsat ETM+ using Self-Organizing Map (SOM) neural networks for urban land cover characterization. /EEE Transactions on Geoscience and Remote Sensing, 44(6): pp. 1642-1654. Li, X., L. Tian, X. Zhao and X. Chen, 2011. A super resolution approach for spectral unmixing of remote sensing images. /nternational Journal of Remote Sensing, 32(21): pp. 6091-6107. Liu W- G,' K. € "seo, E Y Wu, S. Gopal-and € F. Woodcock, 2004. ART-MMAP: A neural network approach to subpixel classification. [EEE Transactions on Geoscience and Remote Sensing, 42(9): pp. 1976-1983. Roberts, D. A., M. Gardner, R. Church, S. Ustin, G. Scheer and R. O. Green, 1998. Mapping chaparral in the Santa Monica Mountains using multiple endmember spectral mixture models. Remote Sensing of Environment, 65(3): pp. 267-279. Roessner, S., K. Segl, U. Heiden and H. Kaufmann, 2001. Automated differentiation of urban surfaces based on airborne hyperspectral imagery. IEEE Transactions on Geoscience and Remote Sensing, 39(7): pp. 1525- 1532. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia

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