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A Graph-Based Image Segmentation Approach for Image Classification and Its Application on SAR Images

Sharifi M., Kiani K., Kheirkhahan M.

Przegląd Elektrotechniczny

2013

R. 89, nr 4

202-205

In this paper, we propose a novel approach for image classification based on Graph-based image segmentation method and apply it on SAR images with satisfactory clustering performance and low computational cost. In this method first, the image pre-processes by mean shift algorithm to cluster into disjoint region, then the segmented regions are represented as a graph structure with all connected neighbourhood, and after that normalized cut method is applied to classify image into defined classes.

W artykule przedstawiono metodę klasyfikacji obrazów, z wykorzystaniem segmentacji metodą grafową. Proponowana rozwiązanie wykorzystano w analizie obrazów SAR.

Change Detection for SAR Imagery Using Connected Components Analysis

Gromek A., Jenerowicz M.

International Journal of Electronics and Telecommunications

2012

Vol. 58, No. 2

111-116

Objective of the described analysis is to provide consistent change detection method based on image processing techniques applied to the Synthetic Aperture Radar (SAR) images acquired over the same geographical area, but at two different time instances. The approach adopted in our work requires incorporation of results with the additional information derived from analysis based on mathematical morphology (MM) techniques and visual interpretation of multitemporal VHR optical satellite images.