{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T09:17:20Z","timestamp":1774430240079,"version":"3.50.1"},"reference-count":48,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2023,5,10]],"date-time":"2023-05-10T00:00:00Z","timestamp":1683676800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002946","name":"German Aerospace Center","doi-asserted-by":"publisher","award":["FuturePorts"],"award-info":[{"award-number":["FuturePorts"]}],"id":[{"id":"10.13039\/501100002946","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Ground radar stations observing specific regions of interest nowadays provide detections in the form of point-clouds. This article focuses on a framework that consists of an elliptical multitarget tracker, referred to as Principal-Axes based Kalman Filter (PAKF)-based Joint Probabilistic Data Association (JPDA) (PAKF-JPDA), to enable maritime traffic monitoring. The framework touches on two major stages, target detection and target tracking. For the former, we employed a clustering approach and for the latter, we presented a data-association-based version of the PAKF tracker with an automatic track management functionality. The framework\u2019s benefits are demonstrated when it is applied to the radar streaming in a harbor setting based on a homogeneous multisensor tracking system by comparing our results against their corresponding reference data with visualizations, including performance measures.<\/jats:p>","DOI":"10.3390\/rs15102503","type":"journal-article","created":{"date-parts":[[2023,5,11]],"date-time":"2023-05-11T01:37:24Z","timestamp":1683769044000},"page":"2503","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["An Overview of the PAKF-JPDA Approach for Elliptical Multiple Extended Target Tracking Using High-Resolution Marine Radar Data"],"prefix":"10.3390","volume":"15","author":[{"given":"Jaya Shradha","family":"Fowdur","sequence":"first","affiliation":[{"name":"Institute of Communications and Navigation, German Aerospace Center (DLR), 17235 Neustrelitz, Germany"}]},{"given":"Marcus","family":"Baum","sequence":"additional","affiliation":[{"name":"Institute of Computer Science, University of G\u00f6ttingen, 37077 G\u00f6ttingen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3245-4272","authenticated-orcid":false,"given":"Frank","family":"Heymann","sequence":"additional","affiliation":[{"name":"Institute of Solar-Terrestrial Physics, German Aerospace Center (DLR), 17235 Neustrelitz, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9865-1482","authenticated-orcid":false,"given":"Pawel","family":"Banys","sequence":"additional","affiliation":[{"name":"Institute of Communications and Navigation, German Aerospace Center (DLR), 17235 Neustrelitz, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,10]]},"reference":[{"key":"ref_1","unstructured":"European Maritime Safety Agency (EMSA) (2020). 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