Computational Burden Resulting from Image Recognition of High Resolution Radar Sensors
This paper presents a methodology for high resolution radar image generation and automatic target recognition emphasizing the computational cost involved in the process. In order to obtain focused inverse synthetic aperture radar (ISAR) images certain signal processing algorithms must be applied to...
Main Authors: | Elena Rufo, José L. Lázaro, Alfredo Gardel, Raúl Fernández-Recio, Ignacio Bravo, Patricia López-Rodríguez |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2013-04-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/13/4/5381 |
Similar Items
-
Deep forest for radar HRRP recognition
by: Yanhua Wang, et al.
Published: (2019-09-01) -
Radar Target Modelling Based on RCS Measurements
by: Wessling, Andreas
Published: (2002) -
Multi-radar fusion technique for high-resolution ISAR imaging in sea-cluttered environment
by: Liu Yi, et al.
Published: (2019-08-01) -
Study on ISAR imaging for forward-looking missile-borne millimetre wave radar
by: Cai Wen, et al.
Published: (2019-08-01) -
RCS measurements and radar imaging of marine objects
by: Alexander Y. Andreev, et al.
Published: (2020-12-01)