An approach using wavelet transform for land cover changes detection on remote sensing data

Sonia Bouzidi 1, 2 Isabelle Herlin 1
1 AIR - Image Processing and Dynamic and Satellite Data
Inria Paris-Rocquencourt
2 UEVE - Université d'Évry-Val-d'Essonne
Abstract : The paper addresses a new application of time-frequency representation in classification of non-stationary signals. It defines an approach to characterize curves describing the temporal reflectance profiles related to land-cover behavior. These curves are obtained from processing multi-resolution remote sensing data and then projected on a representation space improving discrimination between different land cover types. This approach can be applied in a scenario dedicated to the detection of land use changes caused by erosion.
Keywords : Time-frequency transformation Signal classification Land cover change Remote sensing
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Conference papers
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https://hal.inria.fr/inria-00527191
Contributor : Brigitte Briot <>
Submitted on : Tuesday, October 18, 2016 - 2:09:08 PM
Last modification on : Friday, May 25, 2018 - 12:02:05 PM

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Sonia Bouzidi, Isabelle Herlin. An approach using wavelet transform for land cover changes detection on remote sensing data. Sciences of Electronic, Technologies of Information and Telecommunications : SETIT 2003, Mar 2003, Mahdia, Tunisia. ⟨inria-00527191⟩

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