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 electronic resource (196 p.)
• Soggetto topico: Research & information: general; Geography
• Soggetto non controllato: high-resolution; highly-squinted; maneuvers; fifth-order motion parameter model; spatial variation; frequency-domain processing; extended back-projection algorithm; topography variations; computational burden; high resolution; lunar penetrating radar; lunar exploration; compressive sensing; lunar regolith modeling; signal processing; Synthetic Aperture Radar (SAR); Airborne SAR; Sounder; P-Band; helicopter-borne radar; UHF and VHF bands; MIMO radar; through-wall imaging; ultrawideband signal; SFCW; sparse array; back projection algorithm; Vivaldi antenna; SAR Interferometry; Digital Elevation Model (DEM); Frequency-Modulated Continuous-Wave (FMCW); differential interferometry; DInSAR; precision agriculture; drone-borne radar; crop growth deficit map; radar imaging; unmanned aerial vehicle; inverse scattering; linear scattering models; global positioning systems; range-Doppler processor; corner reflector; forward-looking GPR; surface clutter; near-field; antenna arrays; microwave imaging; coherence factor
• 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