Institutional Repository
Technical University of Crete
EN  |  EL

Search

Browse

My Space

Space target motion salient classification using polarimetric retina vision sensing principles

Beninati Anthony, Douard Nicolas , Bauman Gloria, Hoogerhyde Jonathan, Passalaris Anargiros, Giakos Zoe, Nowak Martin, Shrestha Suman, Mohamed Hussam Eldin , Zervakis Michail, Livanos Georgios, Giakos George C.

Simple record


URIhttp://purl.tuc.gr/dl/dias/93856ECD-BA15-4BD7-882A-1B2077C14954-
Identifierhttps://doi.org/10.1109/IST.2018.8577175-
Identifierhttps://ieeexplore.ieee.org/document/8577175-
Languageen-
Extent5 pagesen
TitleSpace target motion salient classification using polarimetric retina vision sensing principlesen
CreatorBeninati Anthonyen
CreatorDouard Nicolas en
CreatorBauman Gloriaen
CreatorHoogerhyde Jonathanen
CreatorPassalaris Anargirosen
CreatorGiakos Zoeen
CreatorNowak Martinen
CreatorShrestha Sumanen
CreatorMohamed Hussam Eldin en
CreatorZervakis Michailen
CreatorΖερβακης Μιχαηλel
CreatorLivanos Georgiosen
CreatorΛιβανος Γεωργιοςel
CreatorGiakos George C.en
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryA new remote sensing retina vision system aimed at classifying rapid moving objects, such as Space debris, based on their motion patterns, is presented. The purpose of this study is to investigate how different types of target complex motion patterns can be detected and discriminated with high accuracy. The remote retina vision sensing system consists of an asynchronous event-based neuromorphic camera coupled with polarization filters enabling improved detection, tracking, and discrimination, with high contrast and dynamic range; a spinning light modulating wheel, operating at varying angular frequency, is placed in front of a static target. The outcome of this study indicates that deep learning combined with Polarimetric Dynamic Vision Sensor p(DVS) principles is well suited to accurately classify targets based on distinct salient features, such as motion patterns, rapidly, at low operational bandwidth, low-power consumption, and storage.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2019-05-22-
Date of Publication2018-
SubjectComplex motion patternsen
SubjectDeep learningen
SubjectDetection and classification of targetsen
SubjectDetection and discrimination of non-cooperative Space targeten
SubjectNeuromorphic imagingen
SubjectPolarimetric Dynamic Vision Sensor p(DVS)en
SubjectSalient features detectionen
SubjectSpace debrisen
SubjectRetina vision sensorsen
Bibliographic CitationA. Beninati, N. Douard, G. Bauman, J. Hoogerhyde, A. Passalaris, Z. Giakos, M. Nowak, S. Shrestha, H. E. Mohamed, M. Zervakis, G. Livanos and G. Giakos, "Space target motion salient classification using polarimetric retina vision sensing principles," in IEEE International Conference on Imaging Systems and Techniques, 2018. doi: 10.1109/IST.2018.8577175en

Services

Statistics