Performance & analysis of satellite image processing using panchromatic and multispectral images
The field of remote sensing is a continuously growing market with applications like vegetation mapping and observation of the environment. The increase in applications is due to the availability of high quality images for a reasonable price and improved computation power. However, as a result of the demand for higher classification accuracy and the need in enhanced positioning precision (e.g. for geoscience information systems) there is always a need to improve the spectral and spatial resolution of remotely sensed imagery.