Abstract
Climate change has produced transformations in the coastal zone of Tamaulipas State. Such changes include modifications to coastline and transformations to texture-relief and texture of the zone. In this work, high resolution panchromatic SPOT images have been employed to quantify such modifications. A synthetic multispectral image is used to validate our results. To quantify the texture-relief and texture, the multi-spectral image is modeled as a vector field of as many dimensions as bands of the image. Upon this field, the vector operators divergence and laplacian are applied. Results are presented for an area of Tampico-Altamira, details of the methodology are shown and results are discussed.
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Lira, J., Marín, E. (2014). Morphological Change of a Scene Employing Synthetic Multispectral and Panchromatic Images. In: Bayro-Corrochano, E., Hancock, E. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2014. Lecture Notes in Computer Science, vol 8827. Springer, Cham. https://doi.org/10.1007/978-3-319-12568-8_122
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DOI: https://doi.org/10.1007/978-3-319-12568-8_122
Publisher Name: Springer, Cham
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