David Marzi, Erith Munoz Rios, Antonietta Sorriso, Fabio Dell’Acqua, Paolo Gamba
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引用次数: 0
Abstract
This paper presents a methodology designed to leverage multitemporal sequences of synthetic aperture radar (SAR) and multispectral data and automatically extract urban changes. The approach compares results using different radar and optical sensors, describing the advantages and drawbacks of using SAR data from the COnstellation of small Satellites for the Mediterranean basin Observation (COSMO)/SkyMed, SAtélite Argentino de Observación COn Microondas (SAOCOM), and Sentinel-1 constellations, as well as nighttime light data or Sentinel-2 images. Multiple indexes obtained from multispectral data are compared, too, and results obtained by an unsupervised clustering procedure are analyzed. The results show that using different datasets it is possible to obtain consistent results about different types of changes in urban areas (e.g., demolition, development, and densification) with different levels of spatial details.
期刊介绍：
The prime objective of the International Journal of Microwave and Wireless Technologies is to enhance the communication between microwave engineers throughout the world. It is therefore interdisciplinary and application oriented, providing a platform for the microwave industry. Coverage includes: applied electromagnetic field theory (antennas, transmission lines and waveguides), components (passive structures and semiconductor device technologies), analogue and mixed-signal circuits, systems, optical-microwave interactions, electromagnetic compatibility, industrial applications, biological effects and medical applications.
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