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Change detection with texture segmentation and nonlinear filtering in optical remote sensing images

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Abstract

Change detection is an important problem in the analysis of optical remote sensing images. The usual way of approaching this problem is by thresholding a difference image in order to obtain a detection mask, but the choice of this threshold is not always easy as the distribution of the values of changed and unchanged pixels may overlap. Therefore, an automatic detector can lead to a high number of false alarms. In this paper, we propose to improve this technique by designing a nonlinear filtering step that highlights the changes in the difference image. In order to better accomplish this process, a previous segmentation stage using texture information from the original images is required. This information can also be used to dismiss areas that do not contain changes with a high likelihood. We show that the process separates the distribution of values in the changed region from the unchanged region and make the choice of the threshold more robust. This results in a significantly lower error than obtaining the mask from the difference image without previous nonlinear filtering. The proposed technique has been used with success in the detection of new constructions on non-urban soil from very-high-resolution aerial images.

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Acknowledgments

This work has been supported by the Valencian Cartographic Institute under a research and development project and by the Generalitat Valenciana under Grant No. PROMETEO/2010/040.

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Authors and Affiliations

  1. Signal Processing Group, Institute of Telecommunications and Multimedia Applications (iTEAM), Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain

    I. Bosch, A. Serrano, L. Vergara & R. Miralles

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  1. I. Bosch
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  2. A. Serrano
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  3. L. Vergara
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  4. R. Miralles
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Correspondence to I. Bosch.

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Bosch, I., Serrano, A., Vergara, L. et al. Change detection with texture segmentation and nonlinear filtering in optical remote sensing images. SIViP 9, 1955–1963 (2015). https://doi.org/10.1007/s11760-014-0690-z

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  • DOI: https://doi.org/10.1007/s11760-014-0690-z

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