{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:36:32Z","timestamp":1760240192527,"version":"build-2065373602"},"reference-count":12,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2019,4,8]],"date-time":"2019-04-08T00:00:00Z","timestamp":1554681600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This Special Issue hosts papers related to ocean radars including the high-frequency (HF) surface wave and sky wave radars, X-, L-, K-band marine radars, airborne scatterometers, and altimeter. The topics covered by these papers include sea surface wind, wave and current measurements, new methodologies and quality control schemes for improving the estimation results, clutter and interference classification and detection, and optimal design as well as calibration of the sensors for better performance. Although different problems are tackled in each paper, their ultimate purposes are the same, i.e., to improve the capacity and accuracy of these radars in ocean monitoring.<\/jats:p>","DOI":"10.3390\/rs11070834","type":"journal-article","created":{"date-parts":[[2019,4,8]],"date-time":"2019-04-08T11:54:52Z","timestamp":1554724492000},"page":"834","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Editorial for Special Issue \u201cOcean Radar\u201d"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9622-5041","authenticated-orcid":false,"given":"Weimin","family":"Huang","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Memorial University, St. John\u2019s, NL A1B 3X5, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9440-3825","authenticated-orcid":false,"given":"Bj\u00f6rn","family":"Lund","sequence":"additional","affiliation":[{"name":"RSMAS-OCE, University of Miami, 4600 Rickenbacker Causeway, Miami, FL 33149, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7477-4664","authenticated-orcid":false,"given":"Biyang","family":"Wen","sequence":"additional","affiliation":[{"name":"School of Electronic Information, Wuhan University, Wuhan 430072, Hubei, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,4,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Cosoli, S., and de Vos, S. (2018). Interoperability of direction-finding and beam-forming high frequency radar systems: An example from the Australian high frequency ocean radar network. Remote Sens., 11.","DOI":"10.3390\/rs11030291"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Shen, W., and Gurgel, K.W. (2018). Wind direction inversion from narrow-beam HF radar backscatter signals in low and high wind conditions at different radar frequencies. Remote Sens., 10.","DOI":"10.3390\/rs10091480"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Zhang, L., You, W., Wu, J.Q.M., Qi, S., and Ji, Y. (2018). Deep learning-based automatic clutter\/interference detection for HFSWR. Remote Sens., 10.","DOI":"10.3390\/rs10101517"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Cosoli, S., Grcic, B., De Vos, S., and Hetzel, Y. (2018). Improving data quality for the Australian high frequency ocean radar network through real-time and delayed-mode quality-control procedures. Remote Sens., 10.","DOI":"10.3390\/rs10091476"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Ogata, K., Seto, S., Fuji, R., Takahashi, T., and Hinata, H. (2018). Real-time tsunami detection with oceanographic radar based on virtual tsunami observation experiments. Remote Sens., 10.","DOI":"10.3390\/rs10071126"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Lai, Y., Zhou, H., Zeng, Y., and Wen, B. (2017). Quantifying and reducing the DOA estimation error resulting from antenna pattern deviation for direction-finding HF radar. Remote Sens., 9.","DOI":"10.3390\/rs9121285"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Nekrasov, A., Khachaturian, A., Abramov, E., Popov, D., Markelov, O., Obukhovets, V., Veremyev, V., and Bogachev, M. (2018). Optimization of airborne antenna geometry for ocean surface scatterometric measurements. Remote Sens., 10.","DOI":"10.3390\/rs10101501"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Rodriguez, E. (2018). On the optimal design of Doppler scatterometers. Remote Sens., 10.","DOI":"10.20944\/preprints201810.0106.v1"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Chen, C., Zhu, J., Lin, M., Zhao, Y., Wang, H., and Wang, J. (2017). Validation of the significant wave height product of HY-2 altimeter. Remote Sens., 9.","DOI":"10.3390\/rs9101016"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Du, Y., Yang, X., Chen, K.-S., Ma, W., and Li, Z. (2017). An Improved spectrum model for sea surface radar backscattering at L-band. Remote Sens., 9.","DOI":"10.3390\/rs9080776"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Kammerer, A.J., and Hackett, E.E. (2017). Use of proper orthogonal decomposition for extraction of ocean surface wave fields from X-band radar measurements of the sea surface. Remote Sens., 9.","DOI":"10.3390\/rs9090881"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Cui, J., Bachmayer, R., DeYoung, B., and Huang, W. (2018). Ocean wave measurement using short-range K-band narrow beam continuous wave radar. Remote Sens., 10.","DOI":"10.3390\/rs10081242"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/7\/834\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:43:34Z","timestamp":1760186614000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/7\/834"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,8]]},"references-count":12,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2019,4]]}},"alternative-id":["rs11070834"],"URL":"https:\/\/doi.org\/10.3390\/rs11070834","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2019,4,8]]}}}