A Symmetry Based Clustering Technique for Multi-Spectral Satellite Imagery
نویسندگان
چکیده
In this paper we have proposed a clustreing technique that extracts suband sup-clusters based on a simple measure of circular symmetry. These sub-clusters and sup-clusters are then used as building blocks to form final clusters of any arbitry shape including concave ones through merging and splitting iteratively. The proposed method is tested on multi-spectral satellite imagery and a good result is obtained. Major advantages of this method is its simplicity and being free from initial guess about the cluster centres or the number of clusters.
منابع مشابه
Object Level Strategy for Spectral Quality Assessment of High Resolution Pan-sharpen Images
Panchromatic and multi-spectral images produced by the remote sensing satellites are fused together to provide a multi-spectral image with a high spatial resolution at the same time. The spectral quality of the fused images is very important because the quality of a large number of remote sensing products depends on it. Due to the importance of the spectral quality of the fused images, its eval...
متن کاملDifferential Evolution based Fuzzy Clustering Technique: Application to Satellite Image Segmentation
An important approach to unsupervised pixel classification in remote sensing satellite imagery is to use clustering in the spectral domain. The problem of classifying an image into different homogeneous regions is viewed as the task of clustering the pixels in the intensity space. In particular, satellite images contain landcover types some of which cover significantly large areas, while some (...
متن کاملPerformance of Multi-beam Satellite Systems With A New Bandwidth Sharing Algorithm
An efficient resource allocation is important to guarantee the best performance with a fair distribution of multi-beam satellite capacity to provide satellite multimedia and broadcasting services. In this way, available bandwidth and capacity problems in new satellite system likes Multi-Input-Multi-Output (MIMO), exploring new techniques for enhancing spectral efficiency in satellite communicat...
متن کامل3D Classification of Urban Features Based on Integration of Structural and Spectral Information from UAV Imagery
Three-dimensional classification of urban features is one of the important tools for urban management and the basis of many analyzes in photogrammetry and remote sensing. Therefore, it is applied in many applications such as planning, urban management and disaster management. In this study, dense point clouds extracted from dense image matching is applied for classification in urban areas. Appl...
متن کاملObject-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images
As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2002