https://www.socictopen.socict.org/files/original/5db22d26b437d619ecf6d39c5ee08841.pdf 7c15c4c26b4265bbe675fd38a7a68239 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Adaptive Hierarchical Detection Method for Ship Targets in High-Resolution SAR Images Creator An entity primarily responsible for making the resource Yi Liang, Kun Sun, Yugui Zeng, Guo-Fei Li, Mengdao Xing Description An account of the resource With the improvement of image resolution in synthetic aperture radars (SARs), sea clutter characteristics become more complex, which poses new challenges to traditional ship target detection missions. In this paper, to detect ship targets quickly and efficiently in a complex background, we propose an adaptive hierarchical detection method based on a coarse-to-fine mechanism. This method constructs a new visual attention mechanism to strengthen ship targets and obtain the candidate targets adaptively by the means dichotomy method. On this basis, the precise detection results of the targets are obtained using the speed block kernel density estimation method, which maintains constant false alarm characteristics. Compared with existing methods, the adaptive hierarchical detection method has simple, fast, and accurate characteristics. Experiments based on GF-III satellite and airborne SAR datasets are presented to demonstrate the effectiveness of the proposed method. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource ship detection, saliency method, superpixel segmentation, kernel density estimation, synthetic aperture radar Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/rs12020303 Source A related resource from which the described resource is derived Remote Sensing Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Science Language A language of the resource EN