Edge enhancement in multispectral satellite images by means of vector operators
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| Format: | Artículo científico |
| Langue: | en |
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Universidad Nacional Autónoma de México
2014
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| _version_ | 1876482885331976192 |
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| author | Jorge Lira |
| author_facet | Jorge Lira |
| contents | Edge enhancement in multispectral satellite images by means of vector operators Jorge Lira Alejandro Rodríguez Ciencias de la Tierra Edge detection edge detection vector operator edge enhancement multispectral image Edge enhancement is an element of analysis to derive the spatial structure of satellite images. Two methods to extract edges from multispectral satellite images are presented. A multispectral image is modeled as a vector field with a number of dimensions equal to the number of bands in the image. In this model, a pixel is defined as a vector formed by a number of elements equal to the number of bands. Two vector operators are applied to such vector field. In our first method, we extend the definition of the gradient. In this extension, the vector difference of the window central pixel with neighboring pixels is obtained. A multispectral image is then generated where each pixel represents the maximum change in spectral response in the image in any direction. This image is named a multispectral gradient. The other method, considers the generalization of the Laplacian by means of an h -dimensional Fourier transform. This image is named a multispectral Laplacian. The vector operators perform a simultaneous extraction of edge- content in the spectral bands of a multispectral image. Our methods are parameter-free. Our methods work for a multispectral image of any number of bands. Two examples are discussed that involve multispectral satellite images at two scales. We compare our results with widely used edge enhancement procedures. The evaluation of results shows better performance of proposed methods when compared to widely used edge operators. 2014 artículo científico 0016-7169 https://www.redalyc.org/articulo.oa?id=56831360005 en http://www.redalyc.org/revista.oa?id=568 Geofísica Internacional application/pdf Universidad Nacional Autónoma de México Geofísica Internacional (México) Num.3 Vol.53 |
| format | Artículo científico |
| id | redalyc_56831360005 |
| institution | Redalyc |
| language | en |
| publishDate | 2014 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | Edge enhancement in multispectral satellite images by means of vector operators Jorge Lira Ciencias de la Tierra Edge detection edge detection vector operator edge enhancement multispectral image Edge enhancement in multispectral satellite images by means of vector operators Jorge Lira Alejandro Rodríguez Ciencias de la Tierra Edge detection edge detection vector operator edge enhancement multispectral image Edge enhancement is an element of analysis to derive the spatial structure of satellite images. Two methods to extract edges from multispectral satellite images are presented. A multispectral image is modeled as a vector field with a number of dimensions equal to the number of bands in the image. In this model, a pixel is defined as a vector formed by a number of elements equal to the number of bands. Two vector operators are applied to such vector field. In our first method, we extend the definition of the gradient. In this extension, the vector difference of the window central pixel with neighboring pixels is obtained. A multispectral image is then generated where each pixel represents the maximum change in spectral response in the image in any direction. This image is named a multispectral gradient. The other method, considers the generalization of the Laplacian by means of an h -dimensional Fourier transform. This image is named a multispectral Laplacian. The vector operators perform a simultaneous extraction of edge- content in the spectral bands of a multispectral image. Our methods are parameter-free. Our methods work for a multispectral image of any number of bands. Two examples are discussed that involve multispectral satellite images at two scales. We compare our results with widely used edge enhancement procedures. The evaluation of results shows better performance of proposed methods when compared to widely used edge operators. 2014 artículo científico 0016-7169 https://www.redalyc.org/articulo.oa?id=56831360005 en http://www.redalyc.org/revista.oa?id=568 Geofísica Internacional application/pdf Universidad Nacional Autónoma de México Geofísica Internacional (México) Num.3 Vol.53 |
| title | Edge enhancement in multispectral satellite images by means of vector operators |
| topic | Ciencias de la Tierra Edge detection edge detection vector operator edge enhancement multispectral image |
| url | https://www.redalyc.org/articulo.oa?id=56831360005 |