Automatic Radiometric Normalization of Satellite Imagery Theory and Implementation Mort Canty Jülich Forschungszentrum ZFL, March/April 2012
Cloud Computing
ENVI/IDL
Normalization
IR-MAD
CCA PCA Image Statistics Linear Algebra Python/GDAL
-Appengine -Picloud -OpenLayers - OpenCV ...
Literature Allan A. Nielsen (2007). The regularized iteratively re-weighted MAD method for change detection in multi- and hyperspectral data. IEEE Transactions on Image Processing 16(2), 463-478. M. J. Canty and A. A. Nielsen (2008). Automatic radiometric normalization of multitemporal satellite imagery with the iteratively re-weighted MAD transformation Remote Sensing of Environment. 112(3), 1025-1036. M. J. Canty (2010). Image Analysis, Classification and Change Detection in Remote Sensing. With Algorithms for ENVI/IDL (2nd Ed.), Taylor and Francis, ISBN 978-1-4200-8713-0 M. Galloy (2011). Modern IDL: A Guide to IDL Programming, http://modernidl.idldev.com
E. Westra (2010). Python Geospatial Development, Packt Publishing, ISBN-10: 1849511544
Automatic Radiometric Normalization of Satellite Imagery.pdf
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