Abstract: Disclosed herein is a method of detecting a target in a sea area based on a Synthetic Aperture Radar (SAR) image thereof. The Synthetic Aperture Radar (SAR) image is made up of pixels, each having a respective magnitude. The method comprises computing a first reference quantity which characterizes a Poisson distribution assumed for the magnitudes that the pixels in the Synthetic Aperture Radar (SAR) image would have if the sea area were free of targets. The method further comprises selecting pixels in the Synthetic Aperture Radar (SAR) image, computing a real quantity which characterizes a real statistical distribution of the magnitudes of the selected pixels, and detecting a target in the sea area based on the computed first reference and real quantities. The selected pixels are in a one and the same sub-image of the Synthetic Aperture Radar (SAR) image, and detecting comprises detecting a target in a sea subarea of the sea area, the sea subarea being represented by the sub-image.

Abstract: Disclosed herein is a method for identifying persistent scatterers in digital “Synthetic Aperture Radar” images of an area of Earth's surface each taken at a respective time. The method involves processing the digital Synthetic Aperture Radar images to produce digital generalized differential interferograms. The method further involves analyzing properties of pairs of pixels in the digital generalized differential interferograms to identify individual pixels imaging persistent scatterers.

Abstract: A method for automatically detecting fires on Earth's surface using a satellite system is provided. The method includes acquiring multi-spectral images of the Earth at different times, using a multi-spectral satellite sensor, each multi-spectral image being a collection of single-spectral images each associated with a respective wavelength (?), and each single-spectral image being made up of pixels each indicative of a spectral radiance (R?) from a respective area of the Earth. The method also includes providing a model relating the spectral radiances (R?) of each pixel in multi-spectral images acquired at different times and physical quantities representing thermodynamic phenomena occurring on the Earth's surface, in the Earth's atmosphere, and related to the Earth and the Sun relative positions. The method further includes computing for each pixel, at a given time, at least the physical quantity in the model representing a possible fire on the Earth's surface.

Abstract: Disclosed herein is a method for identifying persistent scatterers in digital “Synthetic Aperture Radar” images of an area of Earth's surface each taken at a respective time. The method involves processing the digital Synthetic Aperture Radar images to produce digital generalized differential interferograms. The method further involves analyzing properties of pairs of pixels in the digital generalized differential interferograms to identify individual pixels imaging persistent scatterers.

Abstract: Disclosed herein is a method for identifying persistent scatterers in digital “Synthetic Aperture Radar” images of an area of Earth's surface each taken at a respective time. The method involves processing the digital Synthetic Aperture Radar images to produce digital generalized differential interferograms. The method further involves analyzing properties of pairs of pixels in the digital generalized differential interferograms to identify individual pixels imaging persistent scatterers.

Abstract: A method for automatically detecting fires on Earth's surface using a satellite system is provided. The method includes acquiring multi-spectral images of the Earth at different times, using a multi-spectral satellite sensor, each multi-spectral image being a collection of single-spectral images each associated with a respective wavelength (?), and each single-spectral image being made up of pixels each indicative of a spectral radiance (R?) from a respective area of the Earth. The method also includes providing a model relating the spectral radiances (R?) of each pixel in multi-spectral images acquired at different times and physical quantities representing thermodynamic phenomena occurring on the Earth's surface, in the Earth's atmosphere, and related to the Earth and the Sun relative positions. The method further includes computing for each pixel, at a given time, at least the physical quantity in the model representing a possible fire on the Earth's surface.