Advance Multispectral Analysis for Segmentation of Satellite Image

摘要

This paper presents an application with record performance for electromagnetic spectrum analysis of multispectral satellite image. The analysis method is an application-specific pixels oriented to images segmentation. This kind of segmentation is used in remote sensing for land cover and land use classification and change detection. Regions of the image are clustered separately and then the results are combined, for this the processing method employs two types of clustering algorithms, each specialized to its task and steered towards obtaining a final meaningful segmentation. The results show good spatial coherency in segments and coherent borders between regions that were segmented separately.