Classification of urban environments in SAR images: a fuzzy clustering perspective

被引：1

作者：

Gamba, P ^{[1
]}

Savazzi, P ^{[1
]}

机构：

[1] Univ Pavia, Dipartimento Elettr, I-27100 Pavia, Italy

来源：

IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT | 1998年

关键词：

D O I：

10.1109/IGARSS.1998.702902

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

In this paper fuzzy clustering algorithms are used for the interpretation of high resolution SAR images of urban environments. The idea is to define a pyramidal procedure suitable for the characterization first of more different environments (for instance, green areas, streets, and buildings). This rough analysis is then followed by more oriented fuzzy clustering tools, devoted to the extraction of more details: in this paper a modified fuzzy Hough Transform is introduced and used to group pixels classified as pixels in consistent straight lines.

引用

页码：351 / 353

页数：3