Restoration and merging of multispectral and radar imagery for land use studies

Abstract

The introduction of remotely sensed multispectral and microwave (radar) imagery in the country has opened new avenues for the better understanding of land use resources. Numerous studies have been done to combine multi-sensor and multi-resolution imagery in efforts to increase the interpretability and classification accuracy of the resultant image, a process called Data Fusion. The principal objective of this paper is to present initial results of an on-going project involving the restoration and merging of microwave and multispectral imageries. It is the project's goal to combine the advantages that both of these imaging systems offer. In addition, the study presents various methods used and selected to enhance visual interpretation and if possible preserve the spectral content and spatial resolution of the source imageries for subsequent image classification.