Recent Advances in Synthetic Aperture Radar Image Analysis, Modelling, Enhancement and Information Extraction
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: closed (28 February 2021) | Viewed by 447
Special Issue Editor
Interests: synthetic aperture radar; remote sensing by radar; Markov processes; geophysical image processing; radar imaging; Bayes methods; geophysical techniques; image texture; binomial distribution; geophysical signal processing; image denoising
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Special Issue Information
Dear Colleagues,
Synthetic aperture radar (SAR) is an all-weather, 24 hour, coherent remote sensing technique used in spaceborne, airborne, and ground platforms for providing mid to high-resolution imaging data. SAR images are widely available and used to systematically monitor the natural environment, particularly changes due to human or environmental activities. SAR images provide Earth observation applications for monitoring urban areas, soil moisture retrieval, forest and vegetation monitoring, deformation monitoring of manmade structures or surface deformations, assessment of changes in pre and post events, such as earthquakes, floods. It is also very interesting to analyze data in data archives. Recent advances in Artificial Intelligence (AI) gives many opportunities to propose new approaches to existing applications.
We would like to invite researchers to submit papers with recent research in the topics of information extraction:
- SAR image analysis, processing and enhancement using AI
- Methods, models and inversion supported by Artificial Intelligence for SAR, PolSAR and InSAR
- SAR for damage detection and mapping
- Inverse SAR applications
- SAR displacement monitoring and applications
- Change detection using SAR, ISAR or GPR
- Ground-Based SAR Radars design and data exploration
- SAR for Ground-penetrating radars; Information extraction using recent advances in Artificial intelligence
Dr. Dusan Gleich
Guest Editor
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Keywords
- SAR
- InSAR
- PolSAR
- Urban Remote Sensing
- Change detection
- Ground-Based SAR Radars
- Information extraction
- Artificial intelligence
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