Marine pollution assessment near Alexandria, Egypt by Thematic Principal Components (TPC)

This work deals with the detection, identification and mapping of different types of pollutants in the marine environment through the application of a refined image processing technique. The technique is based on the use of already available information on each theme. Classification routines, based on selection of training areas and application of thematic principal components (TPC) analysis, are carried out. The procedure, results, and accuracy testing are presented and discussed. Application to the problem of identification of pollution in Lake Maryout, Egypt, is presented using SPOT images. Results indicate better separability and higher accuracy than traditional techniques.