Morphological change of a scene employing synthetic multispectral and panchromatic images

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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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APA

Lira, J., & Marín, E. (2014). Morphological change of a scene employing synthetic multispectral and panchromatic images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8827, pp. 1006–1013). Springer Verlag. https://doi.org/10.1007/978-3-319-12568-8_122

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