Synthetic Aperture Radar (SAR)
Classification
SAR images
Segmentation
Convolutional Neural Networks (CNN)
Moving and Stationary Target Acquisition
Recognition (MSTAR)
...Show More Authors
In this review paper, several studies and researches were surveyed for assisting future researchers to identify available techniques in the field of classification of Synthetic Aperture Radar (SAR) images. SAR images are becoming increasingly important in a variety of remote sensing applications due to the ability of SAR sensors to operate in all types of weather conditions, including day and night remote sensing for long ranges and coverage areas. Its properties of vast planning, search, rescue, mine detection, and target identification make it very attractive for surveillance and observation missions of Earth resources. With the increasing popularity and availability of these images, the need for machines has emerged to enhance t
...
Show More