Abstract
Synthetic aperture radar (SAR) images have attracted much attention due to their all-weather operation, high spatial resolution, and recent improvements in processing these images. Earth Observation (EO) satellites produce a large number of SAR images every day. It is a difficult task to find useful information from these SAR images quickly and accurately. Several satellite systems in orbit collect a large number of SAR images daily. Analytical methods are needed to effectively use them to retrieve information needed by various users. Traditional remote sensing image classification schemes need to describe metadata of remote sensing images, such as radar parameters and image description parameters (size, date, sensor, time, etc.). However, these metadata are insufficient to fully process SAR images to provide useful information. One solution is content-based image retrieval (CBIR) programs.
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