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Compression of remote sensing data using second-generation wavelets: a review

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Abstract

Wavelet-based methods have been widely used for compression of remotely sensed images and data. Recently, second generation of wavelets which is based on a method called lifting has proven to be more effective than traditional wavelets as it provides lossless compression, lowers the memory usage, and is computationally faster. This study explores the literature related to applying second-generation wavelets for the compression of remote sensing data. Nevertheless, in order to compare the results of two wavelet types, some applications of traditional wavelets are also presented.

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Authors and Affiliations

  1. Geomatics Engineering Unit, Department of Civil Engineering, Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400, Serdang, Selangor, Malaysia

    Ladan Ebadi & Helmi Z. M. Shafri

  2. Geospatial Information Science Research Centre (GISRC), Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400, Serdang, Selangor, Malaysia

    Helmi Z. M. Shafri

Authors
  1. Ladan Ebadi
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  2. Helmi Z. M. Shafri
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Correspondence to Ladan Ebadi.

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Ebadi, L., Shafri, H.Z.M. Compression of remote sensing data using second-generation wavelets: a review. Environ Earth Sci 71, 1379–1387 (2014). https://doi.org/10.1007/s12665-013-2544-3

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