Evaluation of Image Fusion Techniques for THE Identification of Landslide Scars

Authors

  • Emerson Vieira MARCELINO INPE
  • Leila Maria Garcia FONSECA INPE
  • Fernando VENTURA INPE
  • Antônio Nuno de Castro SANTA ROSA INPE
  • Antônio Roberto FORMAGGIO INPE

Abstract

This paper presents an evaluation of Intensity-Hue-Saturation (IHS), Principal Component Analysis (PCA) and Wavelet Transform (WT) fusion techniques for the identification of landslide scars using orbital optic images. The analysis was done using HRV SPOT sensor bands (XS1 and XS2) and TM LANDSAT sensor bands (3, 4, 5). A HRV PAN band was simulated by a spectral linear combination between bands XS1 and XS2. The evaluation process was based on visual interpretation, statistical analysis, and automatic classification (MAXVER). WT technique showed the best results in comparison the fusion methods used. In addition, this technique maintained a high spectral correlation in respect to the original multispectral images. The best statistical results were obtained with the WT method showing spectral correlation values above 91% for the 3 and 5 bands. Key words: remote sensing; image fusion techniques; landslide scars.

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Published

2008-04-23

Issue

Vol. 28 No. 3 (2003)

Section

Article

License

The authors maintain the copyright and grant GEOGRAFIA the right of first publication, with the articles simultaneously licensed under the Creative Commons BY 4.0 License, which allows sharing and adapting the articles for any purpose, as long as appropriate credits and provisions of image rights, privacy or moral rights. Other legal attributions can be accessed at: https://creativecommons.org/licenses/by/4.0/legalcode.en.

 

Geography, Rio Claro, SP, Brazil - eISSN 1983-8700 is licensed under the Creative Commons BY 4.0 License.

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