Detection of Pollutants in Atmosphere by Digital Signal Processing of Satellite Images
Detection of pollutants in atmosphere by digital signal processing of satellite images
Abstract
Satellite imaging has changed the view of remote sensing application. Different methods and ways of processing have been found out . These methods have extended from military applications to research work. A satellite image has to go for image processing and the proper pictorial view can be achieved of the required object. Remote sensing is done in two ways one is satellite imaging and other is ariel photography . the precision and accuracy has been increased due to digital signal processing. Launching of advanced satellites it has been possible to increase the ground resolution of satellite images. Due to increased resolution it has been possibleto extend the work from ground images to atmospherics pollution content images that are difficult by instrumental techniques. Here we are suggesting a theory by which we can do an attempt to get information about change in constituents of air in atmosphere without having to take special images other than regular remote sensing satellite images. Satellite images are taken from satellite with specially designed instruments. These instruments work within multiband of visible light infrared light wavelength and also include thermal images. These different images give us the information about the reflected light and absorbed light from the earth’s surfaces and earth’s atmosphere. We can also get stereo –images of the earth’s surface and earth’s atmosphere by proper processing. By applying digital signal processing and interpreting the images we get dimensional image of the atmosphere . the three dimensions are the 3 axis lengths and the fourth dimension is spectrum of a point location in an atmosphere . since each element in atmosphere has its own specific spectrum. It is possible to interpret constituents of air and a 3D model of motion of pollutants in an atmosphere.
Introduction
Satellites of advanced technology are
Abstract
Satellite imaging has changed the view of remote sensing application. Different methods and ways of processing have been found out . These methods have extended from military applications to research work. A satellite image has to go for image processing and the proper pictorial view can be achieved of the required object. Remote sensing is done in two ways one is satellite imaging and other is ariel photography . the precision and accuracy has been increased due to digital signal processing. Launching of advanced satellites it has been possible to increase the ground resolution of satellite images. Due to increased resolution it has been possibleto extend the work from ground images to atmospherics pollution content images that are difficult by instrumental techniques. Here we are suggesting a theory by which we can do an attempt to get information about change in constituents of air in atmosphere without having to take special images other than regular remote sensing satellite images. Satellite images are taken from satellite with specially designed instruments. These instruments work within multiband of visible light infrared light wavelength and also include thermal images. These different images give us the information about the reflected light and absorbed light from the earth’s surfaces and earth’s atmosphere. We can also get stereo –images of the earth’s surface and earth’s atmosphere by proper processing. By applying digital signal processing and interpreting the images we get dimensional image of the atmosphere . the three dimensions are the 3 axis lengths and the fourth dimension is spectrum of a point location in an atmosphere . since each element in atmosphere has its own specific spectrum. It is possible to interpret constituents of air and a 3D model of motion of pollutants in an atmosphere.
Introduction
Satellites of advanced technology are