{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:39:39Z","timestamp":1760243979369,"version":"build-2065373602"},"reference-count":33,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2009,2,24]],"date-time":"2009-02-24T00:00:00Z","timestamp":1235433600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The convolution between co-polarization amplitude only data is studied to improve ship detection performance. The different statistical behaviors of ships and surrounding ocean are characterized a by two-dimensional convolution function (2D-CF) between different polarization channels. The convolution value of the ocean decreases relative to initial data, while that of ships increases. Therefore the contrast of ships to ocean is increased. The opposite variation trend of ocean and ships can distinguish the high intensity ocean clutter from ships\u2019 signatures. The new criterion can generally avoid mistaken detection by a constant false alarm rate detector. Our new ship detector is compared with other polarimetric approaches, and the results confirm the robustness of the proposed method.<\/jats:p>","DOI":"10.3390\/s90201221","type":"journal-article","created":{"date-parts":[[2009,2,24]],"date-time":"2009-02-24T13:34:19Z","timestamp":1235482459000},"page":"1221-1236","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Improving Ship Detection with Polarimetric SAR based on Convolution between Co-polarization Channels"],"prefix":"10.3390","volume":"9","author":[{"given":"Haiyan","family":"Li","sequence":"first","affiliation":[{"name":"Institute of Oceanology, Chinese Academy of Sciences, Qingdao Shandong, 266071, P.R. China"},{"name":"College of Earth Sciences, Graduate School of Chinese Academy of Sciences, Beijing 100049, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yijun","family":"He","sequence":"additional","affiliation":[{"name":"Institute of Oceanology, Chinese Academy of Sciences, Qingdao Shandong, 266071, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenguang","family":"Wang","sequence":"additional","affiliation":[{"name":"Electronic and Information Engineer, Beihang University, Beijing 100083, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2009,2,24]]},"reference":[{"key":"ref_1","unstructured":"Eldhuset, K. Principles and performance of an automated ship detection system for SAR images."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1109\/TGRS.1990.572948","article-title":"Aplication of radon transform techniques to wake detection of Seasat-A SAR images","volume":"28","author":"Rey","year":"1990","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1109\/36.368224","article-title":"Localized radon transform- based detection of ship wakes in SAR images","volume":"33","author":"Copeland","year":"1995","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1010","DOI":"10.1109\/36.508418","article-title":"An automatic ship and ship wake detection system for spaceborne SAR images in coastal regions","volume":"34","author":"Eldhuset","year":"1996","journal-title":"IEEE Trans. Geo. and Remote Sensing"},{"key":"ref_5","unstructured":"Lin, I-I., Kwoh, L.K., Lin, Y.C., and Khoo, V. Ship and ship wake detection in the ERS SAR imagery using computer-based algorithm."},{"key":"ref_6","first-page":"901","article-title":"Apply Randon transform to detect narrow-v ship wake in SAR images","volume":"5","author":"Zhou","year":"2000","journal-title":"Chinese Journal of Image and Graphics"},{"key":"ref_7","first-page":"289","article-title":"Ship wake detection in SAR imagery based on Randon transform and morphologic images processing","volume":"5","author":"Wang","year":"2001","journal-title":"Chinese Journal of remote sensing"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1080\/07038992.1997.10874677","article-title":"Ship detection by the RADARSAT SAR: Validation of detection model predictions","volume":"23","author":"Vachon","year":"1997","journal-title":"Canadian Journal of Remote Sensing"},{"key":"ref_9","first-page":"33","article-title":"Canadian progress toward marine and coastal applications of synthetic aperture radar","volume":"21","author":"Vachon","year":"2000","journal-title":"Johns Hopkins APL Technical Digest"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"568","DOI":"10.1080\/07038992.2001.10854896","article-title":"Automatic detection of ships in RADARSAT-1 SAR imagery","volume":"27","author":"Wackerman","year":"2001","journal-title":"Canadian Journal of Remote Sensing"},{"key":"ref_11","unstructured":"Ringrose, R., and Nicola, H. Ship detection using polarimetric SAR data."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1109\/36.499784","article-title":"Simulated polarimetric signatures of primitive geometrical shapes","volume":"34","author":"Cameron","year":"1996","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1080\/07038992.2001.10854875","article-title":"Ocean surveillance with polarimetric SAR","volume":"27","author":"Yeremy","year":"2001","journal-title":"Canadian Journal of Remote Sensing"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1109\/36.20273","article-title":"Unsupervised Classification of Scattering behaviour using Radar polarimetry data","volume":"27","year":"1989","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"552","DOI":"10.5589\/m04-002","article-title":"Ship detection and characterization using polarimetric SAR","volume":"30","author":"Touzi","year":"2004","journal-title":"Canada Journal Remote Sensing"},{"key":"ref_16","unstructured":"Touzi, R. Calibrated polarimetric SAR data for ship detection."},{"key":"ref_17","unstructured":"Touzi, R., Charbonneau, F., and Hawkins, R.H. Ship-Sea contrast Optimization When using polarimetric SAR."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2039","DOI":"10.1109\/TGRS.2004.834654","article-title":"On the use of permanent symmetric scatters for ship characterization","volume":"42","author":"Touzi","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"key":"ref_19","unstructured":"Arnaud, A. Ship detection by SAR interferometry."},{"key":"ref_20","unstructured":"Iehara, M., Ouchi, K., Takami, I., Morimura, K., and Kumano, S. Detection of ships using convolution of split-look SAR images."},{"key":"ref_21","unstructured":"Ouchi, K., and Yaguchi, H. Simulation on the extraction of ships' images embedded in speckle using convolution of multilook SAR images and applications to Radarsat data."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1109\/LGRS.2004.827462","article-title":"Ship detection based on coherence images derived from cross correlation of multilook SAR images","volume":"1","author":"Ouchi","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sensing Letter"},{"key":"ref_23","unstructured":"Bracewell, R. The Fourier Transform and Its Applications, McGraw-Hill. [3rd ed.]. Ch. 3."},{"key":"ref_24","unstructured":"Jiang, Q. (2002). Detection de bateaux dans les images de radar a ouverture synthetique. [Ph. D Thesis, National Library of Canada]. AAINQ80535."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1599","DOI":"10.1117\/12.202062","article-title":"Concept of polarization entropy in optical scattering","volume":"34","author":"Cloude","year":"1995","journal-title":"Optical Engineering"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1109\/36.485127","article-title":"A review of target decomposition theorems in radar polarimetry","volume":"34","author":"Cloude","year":"1996","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1117\/12.278958","article-title":"Application of the H\/A\/alpha polarimetric decomposition theorem for land classification","volume":"3120","author":"Cloude","year":"1997","journal-title":"Proceeding of SPIE"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2332","DOI":"10.1109\/36.964969","article-title":"Unsupervised classification of multi-frequency and fully polarimetric SAR images based on H\/A\/Alpha-Wishart classifier","volume":"39","author":"Pottier","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1109\/36.7709","article-title":"Radar Polarimetry: Analysis Tools and Applications","volume":"26","author":"Diane","year":"1988","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"122","DOI":"10.5589\/m04-056","article-title":"Improved ship detection with airborne polarimetric SAR data","volume":"31","author":"Liu","year":"2005","journal-title":"Canada Journal Remote Sensing"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1109\/36.312890","article-title":"Intensity and phase statistics of multilook polarimetric and interferometric SAR imagery","volume":"32","author":"Lee","year":"1994","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"key":"ref_32","first-page":"2353","article-title":"A study on polarimetric correlation coefficient for feature extraction of polarimetric SAR data","volume":"E88-B","author":"Toshifumi","year":"2005","journal-title":"IEICE Institute of Electronics, Information and Communication Engineers"},{"key":"ref_33","unstructured":"Cusano, M. A real timeoperational scheme for ship traffic monitoring using quick look ERS SAR images."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/9\/2\/1221\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T22:09:54Z","timestamp":1760220594000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/9\/2\/1221"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,2,24]]},"references-count":33,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2009,2]]}},"alternative-id":["s90201221"],"URL":"https:\/\/doi.org\/10.3390\/s90201221","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2009,2,24]]}}}