Synthetic aperture radar image enhancement for object detection

Within the broad field of remote sensing, object detection utilising SAR images is an important application such as deforestation, marine monitoring, security for the defence and civilian sectors, disaster management, etc. Object Detection in SAR images could be a difficult task, as these images are...

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Bibliographic Details
Main Authors: Pawar, Sushant, Gandhe, Sanjay
Format: Conference Proceeding
Language:English
Subjects:
Clutter
Deforestation
Image enhancement
Image processing
Image quality
Literature reviews
Object recognition
Radar detection
Radar imaging
Remote monitoring
Remote sensing
Synthetic aperture radar
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Summary:Within the broad field of remote sensing, object detection utilising SAR images is an important application such as deforestation, marine monitoring, security for the defence and civilian sectors, disaster management, etc. Object Detection in SAR images could be a difficult task, as these images are intrinsically affected with the speckle noise & strong clutter interference due to backscattering. Two environmental challenges for SAR-based object detection are camouflage and image quality. Sensor-based device problems include limited resolution, image processing indicator, small or glistening item indications, low signal-to-noise ratios, and so on. Here proposed the elaborated literature review on the object detection in SAR representational process on associated problems in SAR images. Major three issues in SAR images, Range Cell migration, Speckle noise, complex clutters are elaborated within the discussion.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0227618