{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T15:38:32Z","timestamp":1772206712173,"version":"3.50.1"},"reference-count":28,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2024,2,14]],"date-time":"2024-02-14T00:00:00Z","timestamp":1707868800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["62222102"],"award-info":[{"award-number":["62222102"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["62171023"],"award-info":[{"award-number":["62171023"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["FRF-TP-22-005C1"],"award-info":[{"award-number":["FRF-TP-22-005C1"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["62222102"],"award-info":[{"award-number":["62222102"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["62171023"],"award-info":[{"award-number":["62171023"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["FRF-TP-22-005C1"],"award-info":[{"award-number":["FRF-TP-22-005C1"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>With the rapid development of synthetic aperture radar (SAR) techniques, satellite systems\u2019 capabilities to acquire information are continually improving. The PAZ satellite, with its high resolution and wide scanning swath, can provide high-quality data support for SAR applications. Oil tanks serve as energy storage devices, and their identification holds significant value in both military and civilian fields. Challenges in the detection and recognition of oil tanks using classical methods include poor detection, slow computation speed, and multiple windows of correct recognition. This paper centers on the analysis of oil tanks using PAZ data. We employ a sliding-window approach to acquire candidate target windows, process the windows through Weibull distribution modeling and hole filling, and extract target features using the monogenic signal based on regional L2 norm. The results demonstrate that the proposed method effectively improves the accuracy, and the model exhibits strong generalization ability and robustness.<\/jats:p>","DOI":"10.3390\/rs16040676","type":"journal-article","created":{"date-parts":[[2024,2,14]],"date-time":"2024-02-14T06:59:26Z","timestamp":1707893966000},"page":"676","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Oil Tank Detection and Recognition via Monogenic Signal"],"prefix":"10.3390","volume":"16","author":[{"given":"Yunqing","family":"Fan","sequence":"first","affiliation":[{"name":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China"}]},{"given":"Junjun","family":"Yin","sequence":"additional","affiliation":[{"name":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China"}]},{"given":"Jian","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Tsinghua University, Beijing 100084, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,2,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1023\/A:1006790026612","article-title":"Principles of Synthetic Aperture Radar","volume":"21","author":"Bamler","year":"2000","journal-title":"Surv. Geophys."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/0734-189X(88)90016-3","article-title":"Detecting buildings in aerial images","volume":"41","author":"Huertas","year":"1988","journal-title":"Comput. Vis. Graph. Image Process."},{"key":"ref_3","unstructured":"Kim, M., Madden, M., and Warner, T.A. (2008). Object-Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications, Springer."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"934","DOI":"10.1016\/j.imavis.2012.07.002","article-title":"Spatial and spectral morphological template matching","volume":"30","author":"Weber","year":"2012","journal-title":"Image Vis. Comput."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"4069","DOI":"10.1109\/JSTARS.2014.2308301","article-title":"Detection of Buildings in Multispectral Very High Spatial Resolution Images Using the Percentage Occupancy Hit-or-Miss Transform","volume":"7","author":"Stankov","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.patcog.2015.07.009","article-title":"Multilingual scene character recognition with co-occurrence of histogram of oriented gradients","volume":"51","author":"Tian","year":"2016","journal-title":"Pattern Recognit."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"10491","DOI":"10.4249\/scholarpedia.10491","article-title":"Scale Invariant Feature Transform","volume":"7","author":"Lindeberg","year":"2012","journal-title":"Scholarpedia"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1109\/34.55109","article-title":"Invariant Image Recognition by Zernike Moments","volume":"12","author":"Khotanzad","year":"1990","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_9","first-page":"49","article-title":"Support vector machines","volume":"1","author":"Steinwart","year":"2008","journal-title":"Wiley Interdiscip. Rev. Comput. Stat."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Kramer, O. (2013). Dimensionality Reduction with Unsupervised Nearest Neighbors, Springer.","DOI":"10.1007\/978-3-642-38652-7"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1109\/TPAMI.2008.79","article-title":"Robust Face Recognition via Sparse Representation","volume":"31","author":"Wright","year":"2009","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"101047","DOI":"10.1016\/j.est.2019.101047","article-title":"A review of energy storage types, applications and recent developments","volume":"27","author":"Rosen","year":"2020","journal-title":"J. Energy Storage"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"3136","DOI":"10.1109\/78.969520","article-title":"The monogenic signal","volume":"49","author":"Felsberg","year":"2001","journal-title":"IEEE Trans. Signal Process"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/B:JMIV.0000026554.79537.35","article-title":"The Monogenic Scale-Space: A Unifying Approach to Phase-Based Image Processing in Scale-Space","volume":"21","author":"Felsberg","year":"2004","journal-title":"J. Math. Imaging Vis."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1109\/LSP.2012.2188890","article-title":"Spatiotemporal Local Monogenic Binary Patterns for Facial Expression Recognition","volume":"19","author":"Huang","year":"2012","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"952","DOI":"10.1109\/LSP.2014.2321565","article-title":"Sparse Representation of Monogenic Signal: With Application to Target Recognition in SAR Images","volume":"21","author":"Dong","year":"2014","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1308","DOI":"10.1109\/JSTARS.2015.2513481","article-title":"SAR Target Recognition Via Sparse Representation of Monogenic Signal on Grassmann Manifolds","volume":"9","author":"Dong","year":"2016","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_18","first-page":"15","article-title":"On expectations associated with maximum likelihood estimation in the Weibull distribution","volume":"7","author":"Watkins","year":"1998","journal-title":"Stat. Methods Appl."},{"key":"ref_19","unstructured":"Hahn, S.L. (1996). Hilbert Transforms in Signal Processing, Artech House Inc."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"2844","DOI":"10.1109\/78.960432","article-title":"Hypercomplex signals\u2014A novel extension of the analytic signal to the multidimensional case","volume":"49","author":"Sommer","year":"2001","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"911","DOI":"10.1016\/j.ansens.2004.10.003","article-title":"Riesz transform on manifolds and heat kernel regularity","volume":"37","author":"Auscher","year":"2004","journal-title":"Ann. Sci. Ec. Norm. Super."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"7859","DOI":"10.1109\/JSTARS.2022.3194551","article-title":"POLSAR Target Recognition Using a Feature Fusion Framework Based on Monogenic Signal and Complex-Valued Nonlocal Network","volume":"15","author":"Li","year":"2022","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"2379","DOI":"10.1364\/JOSAA.4.002379","article-title":"Relations between the statistics of natural images and the response properties of cortical cells","volume":"4","author":"Field","year":"1987","journal-title":"J. Opt. Soc. Am. A Opt. Image Sci."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"3316","DOI":"10.1109\/JSTARS.2015.2436694","article-title":"SAR Target Recognition via Joint Sparse Representation of Monogenic Signal","volume":"8","author":"Dong","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Fan, Y., Yin, J., and Yang, J. (2023, January 16\u201321). SAR Target Recognition via Features Extracted from Monogenic Signal. Proceedings of the IGARSS 2023\u20142023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA.","DOI":"10.1109\/IGARSS52108.2023.10281572"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.ins.2013.07.035","article-title":"A high capacity reversible watermarking approach for authenticating images: Exploiting down-sampling, histogram processing, and block selection","volume":"256","author":"Kamran","year":"2014","journal-title":"Inf. Sci."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Bingham, E., and Mannila, H. (2001, January 26\u201329). Random projection in dimensionality reduction: Applications to image and text data. Proceedings of the Knowledge Discovery and Data Mining, San Francisco, CA, USA.","DOI":"10.1145\/502512.502546"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.joes.2019.04.002","article-title":"Study of synthetic aperture radar and automatic identification system for ship target detection","volume":"4","author":"Chaturvedi","year":"2019","journal-title":"J. Ocean Eng. Sci."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/4\/676\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T13:59:36Z","timestamp":1760104776000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/4\/676"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,14]]},"references-count":28,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2024,2]]}},"alternative-id":["rs16040676"],"URL":"https:\/\/doi.org\/10.3390\/rs16040676","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2,14]]}}}