Self Organizing Map Based Radar Shadow Detection Using Textural Features
Conference: EUSAR 2006 - 6th European Conference on Synthetic Aperture Radar
05/16/2006 - 05/18/2006 at Dresden, Germany
Proceedings: EUSAR 2006
Pages: 4Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
Gorener, Suleyman Hakan (Informatics Institute, Istanbul Technical University, Turkey)
Kartal, Mesut (Electrical and Electronics Engineering Faculty, Istanbul Technical University, Turkey)
This paper demonstrates the adaptation of a neural network based classification method to radar shadow detection process. The method which is previously used for automatic cloud detection and classification for satellite images using textural features is newly applied to radar shadow detection process. A novel utilization of Gray Level Co-occurrence Matrices (GLCM) method is preferred to extract textural features and Self Organized Maps (SOM) are used to classify the data according to pre-classified training set.