Superresolution of Radar Forward-Looking Imaging Based on Accelerated TV-Sparse Method

Total variation-sparse (TV-sparse)-based multiconstraint devonvolution method has been used to realize superresolution imaging and preserve target contour information simultaneously of radar forward-looking imaging. However, due to the existence of matrix inversion, it suffers from high computationa...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing Jg. 14; S. 92 - 102
Hauptverfasser:	Zhang, Yin, Zhang, Qiping, Zhang, Yongchao, Huang, Yulin, Yang, Jianyu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Azimuth Complexity Computer applications Computing time Data analysis Data processing Gohberg–Semencul (GS) representation Image resolution Imaging Imaging techniques Radar Radar antennas Radar imaging Signal resolution sparse superresolution Target recognition total variation
ISSN:	1939-1404, 2151-1535
Online-Zugang:	Volltext
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