Radar Imaging in Challenging Scenarios from Smart and Flexible Platforms

• Autore: Amin Moeness
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 online resource (196 p.)
• Soggetto topico: Geography; Research & information: general
• Soggetto non controllato: Airborne SAR; antenna arrays; back projection algorithm; coherence factor; compressive sensing; computational burden; corner reflector; crop growth deficit map; differential interferometry; Digital Elevation Model (DEM); DInSAR; drone-borne radar; extended back-projection algorithm; fifth-order motion parameter model; forward-looking GPR; frequency-domain processing; Frequency-Modulated Continuous-Wave (FMCW); global positioning systems; helicopter-borne radar; high resolution; high-resolution; highly-squinted; inverse scattering; linear scattering models; lunar exploration; lunar penetrating radar; lunar regolith modeling; maneuvers; microwave imaging; MIMO radar; n/a; near-field; P-Band; precision agriculture; radar imaging; range-Doppler processor; SAR Interferometry; SFCW; signal processing; Sounder; sparse array; spatial variation; surface clutter; Synthetic Aperture Radar (SAR); through-wall imaging; topography variations; UHF and VHF bands; ultrawideband signal; unmanned aerial vehicle; Vivaldi antenna
• Persona (resp. second.): PernaStefano; SoldovieriFrancesco; AminMoeness
• Sommario/riassunto: undefined
• Titolo autorizzato: Radar Imaging in Challenging Scenarios from Smart and Flexible Platforms
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910674022003321
• Lo trovi qui: Univ. Federico II