Paper Info
Title
Class Separability And Features Selection: Gb-Mimo Sar Melissa Case Of Study
Abstract
MELISSA is a new Ground Based (GB) MIMO SAR system developed by JRC. Despite the successes of MELISSA, GB MIMO SAR sensors could be particularly suitable for many other applications such as MIMO MTI, 3-D ISAR systems and Automatic Target Recognition (ATR) which are still under investigation. This document is addressed for investigating the ability of MELISSA as ATR sensor.The results have proved the abilities of MELISSA of of detecting, discriminating and recognizing potential targets presenting in the area of interest.
Year
Venue
Keywords
2015
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
Classification, MIMO SAR, KNN
Field
DocType
ISSN
Computer vision,Algorithm design,Automatic target recognition,Computer science,Synthetic aperture radar,Remote sensing,MIMO,Inverse synthetic aperture radar,Artificial intelligence,Class separability,Area of interest
Conference
2153-6996
Citations 
PageRank 
References 
0
0.34
2
Authors
5
Name
Order
Citations
PageRank
Giovanni Marino110.71
dario tarchi2287.71
Vladimir Kyovtorov321.39
Jorge Figueiredo-Morgado410.71
Pier Francesco Sammartino5685.86