研究目的
To explore the possibilities that advanced synthetic aperture radar (SAR) systems provide for surveillance, change detection, moving target identification and high resolution imaging in Arctic scenarios.
研究成果
The campaign demonstrated the superiority of fully polarimetric SAR over single-polarization systems for Arctic applications, enabling detection of objects above and below ice/snow surfaces, change detection, and target recognition. Different frequency bands provide complementary information, with higher frequencies detecting surface features and lower frequencies penetrating subsurface structures. The dataset supports future sensor evaluations and recommendations for Arctic surveillance capabilities.
研究不足
The F-SAR system allowed only up to three simultaneous polarizations and required separate flights for P-band data, limiting simultaneous multi-band acquisitions. The complexity and cost of fully polarimetric systems may hinder widespread military use.
1：Experimental Design and Method Selection:
The study involved test campaigns using the F-SAR system for multi-band, fully polarimetric SAR imaging in Arctic environments. Polarimetric decompositions (Pauli and SDH) were applied for data analysis and visualization.
2：Sample Selection and Data Sources:
Test sites in Greenland (e.g., Kangerlussuaq, Qeqertarsuaq) were selected, with ground truth data collected via GPS measurements, photos, videos, and aerial photos.
3：List of Experimental Equipment and Materials:
F-SAR system (multi-band polarimetric SAR), GPS devices, cameras, helicopters for aerial photos, test objects (e.g., aircraft, snow scooters, dogsleds, corner reflectors).
4：Experimental Procedures and Operational Workflow:
Data acquisitions were made with F-SAR in various frequency bands (X, C, S, L, P), with flights over test sites. Changes were introduced between flights for change detection experiments. Data processing included geocoding using DEMs and application of polarimetric decompositions.
5：Data Analysis Methods:
Analysis involved generating RGB images from decomposition components, difference maps for change detection, and interpretation based on physical scattering properties.
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