Edge enhancement in multispectral satellite images by means of vector operators

Edge detection in multispectral images

Edge Detection in Multispectral Images

This paper proposes an extension of edge detectors based on second-order differential operators to the case of multiple band (color) images. To this end, we deline a local directional measure of multispectral contrast. A definition of edge point is then given, as the location of a directional maximum of the contrast function. Extremal contrast edges are defined, as loci of zero crossing points ...

Testing the spectral variation hypothesis by using satellite multispectral images

In the present paper, a test of the spectral variation hypothesis (SVH) was performed using multispectral high resolution satellite data. The SVH was tested by comparing the relationship between the spectral heterogeneity and species richness in plots of different size (100– 10000 m) in a complex wetland ecosystem, the “Montepulciano Lake”, Central Italy. The nature reserve of the Montepulciano...

A Gravitational Edge Detection for Multispectral Images

Gravitational edge detection is one of the new edge detection algorithms that is based on the law of gravity. This algorithm assumes that each image pixel is a celestial body with a mass represented by its grayscale intensity and their interactions are based on the Newtonian laws of gravity. In this article, a multispectral version of the algorithm is introduced. The method uses gravitational t...

Fusion of Multispectral and Panchromatic Satellite Images in Environmental Issues

Image fusion of multispectral and panchromatic satellite image is used to combine spatial detail of the panchromatic image of high spatial resolution and spectral information of multispectral image of low resolution, in order to create a synthetic multispectral high-resolution image. This process is called pansharpening and the resulting image, has among others, improved visual quality and visu...