A method for correction of multitemporal satellite imagery

This paper proposes new approaches to radiometric correction of multitemporal satellite imagery using wavelet analysis and Fourier transform. The results obtained are compared with commonly used NO-change regression (NC) normalization and Histogram Matching spatial domain methods. Statistical accura...

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Bibliographic Details
Published inProceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology Vol. 6; pp. 3032 - 3035
Main Authors Zhenxing Yin, Min Zhang, Jinyong Yin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2011
Subjects
Fourier Transform
Multitemporal
Radiometry
Reflectivity
Relative Radiometric Correction
Remote sensing
Satellite broadcasting
Satellites
Terrestrial atmosphere
Transforms
Wavelet Transform
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Summary:This paper proposes new approaches to radiometric correction of multitemporal satellite imagery using wavelet analysis and Fourier transform. The results obtained are compared with commonly used NO-change regression (NC) normalization and Histogram Matching spatial domain methods. Statistical accuracy assessment shows that proposed transform domain approaches are valid.
ISBN:9781612840871
1612840876
DOI:10.1109/EMEIT.2011.6023729