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HandWiki. High Resolution Wide Swath SAR Imaging. Encyclopedia. Available online: https://encyclopedia.pub/entry/32276 (accessed on 15 October 2026).
HandWiki. High Resolution Wide Swath SAR Imaging. Encyclopedia. Available at: https://encyclopedia.pub/entry/32276. Accessed October 15, 2026.
HandWiki. "High Resolution Wide Swath SAR Imaging" Encyclopedia, https://encyclopedia.pub/entry/32276 (accessed October 15, 2026).
HandWiki. (2022, November 01). High Resolution Wide Swath SAR Imaging. In Encyclopedia. https://encyclopedia.pub/entry/32276
HandWiki. "High Resolution Wide Swath SAR Imaging." Encyclopedia. Web. 01 November, 2022.
High Resolution Wide Swath SAR Imaging
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The content is sourced from: https://handwiki.org/wiki/Earth:High_Resolution_Wide_Swath_SAR_imaging

High Resolution Wide Swath (HRWS) imaging is an important branch in Synthetic aperture radar (SAR) imaging, a remote sensing technique capable of providing high resolution images independent of weather conditions and sunlight illumination. This makes SAR very attractive for the systematic observation of dynamic processes on the Earth's surface, which is useful for environmental monitoring, earth resource mapping and military systems. SAR technology has provided terrain structural information to geologists for mineral exploration, oil spill boundaries on water to environmentalists, sea state and ice hazard maps to navigators, and intelligence, surveillance, reconnaissance and detecting information to military operations. Conventional SAR systems are limited in that a wide swath can only be achieved at the expense of a degraded azimuth resolution. Since wide coverage swaths and high resolution output are both important, this poses challenges and contradicting requirements on the design of space-borne SAR systems and related new algorithms.

high resolution images wide swath high resolution

References

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  2. Guarnieri A M. Adaptive removal of azimuth ambiguities in SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(3): 625-633.
  3. Gebert, Nicolas, Gerhard Krieger, and Alberto Moreira. "Multichannel azimuth processing in ScanSAR and TOPS mode operation." IEEE Transactions on Geoscience and Remote Sensing 48.7 (2010): 2994-3008.
  4. Tomiyasu K. Conceptual performance of a satellite borne, wide swath synthetic aperture radar[J]. IEEE Transactions on Geoscience and Remote Sensing, 1981 (2): 108-116.
  5. Cafforio C, Guccione P, Guarnieri A M. Doppler centroid estimation for ScanSAR data[J]. IEEE transactions on geoscience and remote sensing, 2004, 42(1): 14-23.
  6. Krieger, Gerhard, et al. "Advanced concepts for ultra-wide-swath SAR imaging." Proceedings of the European Conference on Synthetic Aperture Radar (EUSAR). Vol. 2. VDE, 2008.
  7. http://www.alternatewars.com/BBOW/Radar/Radar_Bands_Wavelengths.htm
  8. Gebert N, Krieger G, Moreira A. High Resolution Wide Swath SAR Imaging with Digital Beamforming–Performance Analysis, Optimization, System Design[J]. EUSAR 2006, 2006.
  9. Krieger, Gerhard, Nicolas Gebert, and Alberto Moreira. "Multidimensional waveform encoding: A new digital beamforming technique for synthetic aperture radar remote sensing." IEEE Transactions on Geoscience and Remote Sensing 46.1 (2008): 31-46.
  10. Wu C, Jin M. Modeling and a correlation algorithm for spaceborne SAR signals[J]. IEEE Transactions on Aerospace and Electronic Systems, 1982 (5): 563-575.
  11. Raney R K, Runge H, Bamler R, et al. Precision SAR processing using chirp scaling[J]. IEEE Transactions on Geoscience and Remote Sensing, 1994, 32(4): 786-799.
  12. Villano, Michelangelo, Gerhard Krieger, and Alberto Moreira. "Staggered SAR: High-resolution wide-swath imaging by continuous PRI variation." IEEE Transactions on Geoscience and Remote Sensing 52.7 (2014): 4462-4479.
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