FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3202109671> ?p ?o ?g. }

• W3202109671 endingPage "10016" @default.
• W3202109671 startingPage "10003" @default.
• W3202109671 abstract "With the development of economic globalization, coastal harbors have become an increasingly important gateway for international trade. Synthetic aperture radar (SAR) is an important microwave sensor with high resolution imaging capability. Harbor detection in SAR images is of great significance for timely obtaining coastal intelligence of a country. However, due to its complexity and diversity, harbor detection is challenging. In this paper, a harbor detection method based on multidirectional one-dimensional scanning is proposed. First, discrete coastline to obtain control points, and multiple directions are selected at each control point, values of scanned pixels in each direction are recorded to obtain the representation vector. Then, design a one-dimensional convolutional neural network for harbor features identification of representation vectors. Finally, the harbors are located by clustering feature points. The proposed method can extract vectors to characterize the distribution of land, waters, and wharfs. Therefore, the problem of object detection in two-dimensional images is transformed into the identification of representation vectors. The method is effective for harbors with various scales and forms and has low computational complexity. Experimental results on spaceborne SAR images demonstrate the effectiveness of the proposed method." @default.
• W3202109671 created "2021-10-11" @default.
• W3202109671 creator A5007776175 @default.
• W3202109671 creator A5013688635 @default.
• W3202109671 creator A5017227883 @default.
• W3202109671 creator A5026843046 @default.
• W3202109671 creator A5043192734 @default.
• W3202109671 creator A5048082060 @default.
• W3202109671 creator A5058819297 @default.
• W3202109671 date "2021-01-01" @default.
• W3202109671 modified "2023-10-17" @default.
• W3202109671 title "A Multidirectional One-Dimensional Scanning Method for Harbor Detection From SAR Images" @default.
• W3202109671 cites W1509486062 @default.
• W3202109671 cites W1532362218 @default.
• W3202109671 cites W1966811077 @default.
• W3202109671 cites W1970527487 @default.
• W3202109671 cites W1972156833 @default.
• W3202109671 cites W2004831737 @default.
• W3202109671 cites W2006570776 @default.
• W3202109671 cites W2019421992 @default.
• W3202109671 cites W2019728268 @default.
• W3202109671 cites W2033378772 @default.
• W3202109671 cites W2035195019 @default.
• W3202109671 cites W2079299474 @default.
• W3202109671 cites W2108268240 @default.
• W3202109671 cites W2112597509 @default.
• W3202109671 cites W2114318935 @default.
• W3202109671 cites W2119666089 @default.
• W3202109671 cites W2120829943 @default.
• W3202109671 cites W2133059825 @default.
• W3202109671 cites W2142796063 @default.
• W3202109671 cites W2144677187 @default.
• W3202109671 cites W2293724088 @default.
• W3202109671 cites W2401405689 @default.
• W3202109671 cites W2474655211 @default.
• W3202109671 cites W2496497439 @default.
• W3202109671 cites W2519749422 @default.
• W3202109671 cites W2533871849 @default.
• W3202109671 cites W2534798644 @default.
• W3202109671 cites W2568374134 @default.
• W3202109671 cites W2568859033 @default.
• W3202109671 cites W2597117158 @default.
• W3202109671 cites W2736722881 @default.
• W3202109671 cites W2757094569 @default.
• W3202109671 cites W2771325140 @default.
• W3202109671 cites W2783266131 @default.
• W3202109671 cites W2888287011 @default.
• W3202109671 cites W2901870929 @default.
• W3202109671 cites W2913791005 @default.
• W3202109671 cites W2955670325 @default.
• W3202109671 cites W2963229614 @default.
• W3202109671 cites W2963785947 @default.
• W3202109671 cites W2975782586 @default.
• W3202109671 cites W2982932271 @default.
• W3202109671 cites W3080309540 @default.
• W3202109671 cites W3089304842 @default.
• W3202109671 cites W3124621213 @default.
• W3202109671 cites W3188702784 @default.
• W3202109671 cites W3193665231 @default.
• W3202109671 cites W4252494279 @default.
• W3202109671 doi "https://doi.org/10.1109/jstars.2021.3115878" @default.
• W3202109671 hasPublicationYear "2021" @default.
• W3202109671 type Work @default.
• W3202109671 sameAs 3202109671 @default.
• W3202109671 citedByCount "4" @default.
• W3202109671 countsByYear W32021096712022 @default.
• W3202109671 countsByYear W32021096712023 @default.
• W3202109671 crossrefType "journal-article" @default.
• W3202109671 hasAuthorship W3202109671A5007776175 @default.
• W3202109671 hasAuthorship W3202109671A5013688635 @default.
• W3202109671 hasAuthorship W3202109671A5017227883 @default.
• W3202109671 hasAuthorship W3202109671A5026843046 @default.
• W3202109671 hasAuthorship W3202109671A5043192734 @default.
• W3202109671 hasAuthorship W3202109671A5048082060 @default.
• W3202109671 hasAuthorship W3202109671A5058819297 @default.
• W3202109671 hasBestOaLocation W32021096711 @default.
• W3202109671 hasConcept C10929652 @default.
• W3202109671 hasConcept C116834253 @default.
• W3202109671 hasConcept C153180895 @default.
• W3202109671 hasConcept C154945302 @default.
• W3202109671 hasConcept C160633673 @default.
• W3202109671 hasConcept C17744445 @default.
• W3202109671 hasConcept C199539241 @default.
• W3202109671 hasConcept C205649164 @default.
• W3202109671 hasConcept C2776151529 @default.
• W3202109671 hasConcept C2776359362 @default.
• W3202109671 hasConcept C31972630 @default.
• W3202109671 hasConcept C41008148 @default.
• W3202109671 hasConcept C52622490 @default.
• W3202109671 hasConcept C554190296 @default.
• W3202109671 hasConcept C59822182 @default.
• W3202109671 hasConcept C62649853 @default.
• W3202109671 hasConcept C73555534 @default.
• W3202109671 hasConcept C76155785 @default.
• W3202109671 hasConcept C81363708 @default.
• W3202109671 hasConcept C83665646 @default.
• W3202109671 hasConcept C86803240 @default.
• W3202109671 hasConcept C87360688 @default.

• next