Compression of satellite images and remote sensing
Remote sensing involvescollecting images of the Earth from an airborne or spaceborne platform. The images aretransmitted to a ground station, whereapplications may be carried out. Finally, they are sent to final users. Of course, remote sensing images can be exploited in several ways. For instance, they can be used to detect the presence of some particular objects or in general to analyze the characteristics of some ground region. Typical applications are agricultural field monitoring, texture analysis, urban planning, change detection, fire detection (in general environmental monitoring and disaster prevention) and so on.
There are many kinds of images that can be collected by a platform.Panchromatic images have a single color band, with wavelength range spanning from the ultraviolet to the infrared.Multispectral images have three or more spectral bands, often including three color bands (R, G, B) plus one or more infrared bands.Hyperspectral images have a very fine spectral resolution, providing images in hundreds of spectral bands, at the expenses of image spatial resolution.
The most important characteristics of remote sensing images are their ground resolution (i.e. the size of the smallest object that can be discriminated by the optical system), the spectral resolution (i.e. the number of "color" bands and their bandwidth) and the radiometric resolution (similar to the number of bits whereon each image pixel is quantized).
The main research topics currently developed by SAS-IPL researchers are:
- Pattern recognition
- Super resolution