Monitoring Urban Changes in Rome, Italy by Multi-Temporal ERS-SAR Images

被引：0

作者：

Bonci, E. ^{[1
]}

Del Frate, F. ^{[1
]}

Solimini, D. ^{[1
]}

机构：

[1] Univ Tor Vergata, Dipartimento Informat Sistemi & Produz, Rome, Italy

来源：

2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8 | 2006年

关键词：

SAR; neural networks; change detection; urban areas; land cover;

D O I：

10.1109/IGARSS.2006.610

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

This contribution discusses the kind of information about land use in urban and sub-urban areas contained in multitemporal SAR data and suggests how it can be exploited for classifying a wide, complex and heterogenous landscape. Rome, Italy, is the test site. Multitemporal, coherence and textural features are obtained from a set of SAR images taken in winter, spring and summer by the ERS tandem mission. These features are used to identify areas belonging to diverse urban classes, including water surfaces, woodland and parks, and continuous high/low density residential areas. The decision-making process is performed by a classifier based on a neural network algorithm.

引用

页码：2357 / 2360

页数：4

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