Introduction to Synthetic Aperture Radar (SAR)
By P. Berens. 2006
223 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/a1a71abaa0e7178cfaa374f815dc7d7ff5e9ff88
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- Zhensen Wu
- Ademola Enitan Ilesanmi
- Jian Wu
- Taiwo Ilesanmi
- Zhengwen Xu
Citations in the corpus
- SPARSE RECONSTRUCTION FOR SAR IMAGING BASED ON COMPRESSED SENSING (2010, unknown): “Till now, the most popular methods for SAR imaging are based on matched filtering (MF) theory [3], such as Range-Doppler algorithm [4], Chirp-Scaling algorithm [5], Spectral Analysis algorithm [6], etc.”
- Methods for image denoising using convolutional neural network: a review (2021, background): “Synthetic aperture radar (SAR) images provide space and airborne operation in military surveillance [12].”
- DESIGN OF COMPACT VIVALDI ANTENNA ARRAYS FOR UWB SEE THROUGH WALL APPLICATIONS (2008, unknown): “Depending on different applications requirements, a trade-off must be made between the array performance such as the main beamwidth and steering range, and the array design degrees of freedom such as the inter-element spacing and the number of elements [21].”
- A survey of ionospheric effects on space-based radar (2004, background): “The point spread function (PSF) is also referred to as the generalized ambiguity function or point target response; it is a useful function for analysis of radar imaging resolution (e.g., Cutrona 1990, Ulander and Hellsten 1996, Cheney 2001a, 2001b, 2002).”