Matches in SemOpenAlex for { <https://semopenalex.org/work/W4382066040> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W4382066040 endingPage "3242" @default.
- W4382066040 startingPage "3242" @default.
- W4382066040 abstract "The detection of vehicle targets in wide-area Synthetic Aperture Radar (SAR) images is crucial for real-time reconnaissance tasks and the widespread application of remote sensing technology in military and civilian fields. However, existing detection methods often face difficulties in handling large-scale images and achieving high accuracy. In this study, we address the challenges of detecting vehicle targets in wide-area SAR images and propose a novel method that combines coarse-grained judgment with fine-grained detection to overcome these challenges. Our proposed vehicle detection model is based on YOLOv5, featuring a CAM attention module, CAM-FPN network, and decoupled detection head, and it is strengthened with background-assisted supervision and coarse-grained judgment. These various techniques not only improve the accuracy of the detection algorithms, but also enhance SAR image processing speed. We evaluate the performance of our model using the Wide-area SAR Vehicle Detection (WSVD) dataset. The results demonstrate that the proposed method achieves a high level of accuracy in identifying vehicle targets in wide-area SAR images. Our method effectively addresses the challenges of detecting vehicle targets in wide-area SAR images, and has the potential to significantly enhance real-time reconnaissance tasks and promote the widespread application of remote sensing technology in various fields." @default.
- W4382066040 created "2023-06-27" @default.
- W4382066040 creator A5003180557 @default.
- W4382066040 creator A5034682822 @default.
- W4382066040 creator A5036821454 @default.
- W4382066040 creator A5050500595 @default.
- W4382066040 creator A5053931437 @default.
- W4382066040 creator A5058971566 @default.
- W4382066040 creator A5069298427 @default.
- W4382066040 date "2023-06-23" @default.
- W4382066040 modified "2023-10-18" @default.
- W4382066040 title "Vehicle Target Detection Method for Wide-Area SAR Images Based on Coarse-Grained Judgment and Fine-Grained Detection" @default.
- W4382066040 cites W1566144858 @default.
- W4382066040 cites W1903029394 @default.
- W4382066040 cites W2128272608 @default.
- W4382066040 cites W2137887410 @default.
- W4382066040 cites W2144150246 @default.
- W4382066040 cites W2160445017 @default.
- W4382066040 cites W2410591237 @default.
- W4382066040 cites W2565639579 @default.
- W4382066040 cites W2570343428 @default.
- W4382066040 cites W2752782242 @default.
- W4382066040 cites W2762294195 @default.
- W4382066040 cites W2765711406 @default.
- W4382066040 cites W2770644646 @default.
- W4382066040 cites W2800701231 @default.
- W4382066040 cites W2804145004 @default.
- W4382066040 cites W2884585870 @default.
- W4382066040 cites W2901919361 @default.
- W4382066040 cites W2904480641 @default.
- W4382066040 cites W2945014618 @default.
- W4382066040 cites W2962834855 @default.
- W4382066040 cites W2963037989 @default.
- W4382066040 cites W2963857746 @default.
- W4382066040 cites W2990641522 @default.
- W4382066040 cites W3012162230 @default.
- W4382066040 cites W3035473155 @default.
- W4382066040 cites W3035694605 @default.
- W4382066040 cites W3097983326 @default.
- W4382066040 cites W3106250896 @default.
- W4382066040 cites W3111765632 @default.
- W4382066040 cites W3127275778 @default.
- W4382066040 cites W3130415882 @default.
- W4382066040 cites W3176659256 @default.
- W4382066040 cites W3177052299 @default.
- W4382066040 cites W4364368505 @default.
- W4382066040 doi "https://doi.org/10.3390/rs15133242" @default.
- W4382066040 hasPublicationYear "2023" @default.
- W4382066040 type Work @default.
- W4382066040 citedByCount "0" @default.
- W4382066040 crossrefType "journal-article" @default.
- W4382066040 hasAuthorship W4382066040A5003180557 @default.
- W4382066040 hasAuthorship W4382066040A5034682822 @default.
- W4382066040 hasAuthorship W4382066040A5036821454 @default.
- W4382066040 hasAuthorship W4382066040A5050500595 @default.
- W4382066040 hasAuthorship W4382066040A5053931437 @default.
- W4382066040 hasAuthorship W4382066040A5058971566 @default.
- W4382066040 hasAuthorship W4382066040A5069298427 @default.
- W4382066040 hasBestOaLocation W43820660401 @default.
- W4382066040 hasConcept C127313418 @default.
- W4382066040 hasConcept C154945302 @default.
- W4382066040 hasConcept C31972630 @default.
- W4382066040 hasConcept C41008148 @default.
- W4382066040 hasConcept C62649853 @default.
- W4382066040 hasConcept C87360688 @default.
- W4382066040 hasConceptScore W4382066040C127313418 @default.
- W4382066040 hasConceptScore W4382066040C154945302 @default.
- W4382066040 hasConceptScore W4382066040C31972630 @default.
- W4382066040 hasConceptScore W4382066040C41008148 @default.
- W4382066040 hasConceptScore W4382066040C62649853 @default.
- W4382066040 hasConceptScore W4382066040C87360688 @default.
- W4382066040 hasFunder F4320321001 @default.
- W4382066040 hasIssue "13" @default.
- W4382066040 hasLocation W43820660401 @default.
- W4382066040 hasOpenAccess W4382066040 @default.
- W4382066040 hasPrimaryLocation W43820660401 @default.
- W4382066040 hasRelatedWork W1891287906 @default.
- W4382066040 hasRelatedWork W1969923398 @default.
- W4382066040 hasRelatedWork W1976486353 @default.
- W4382066040 hasRelatedWork W2036807459 @default.
- W4382066040 hasRelatedWork W2113672159 @default.
- W4382066040 hasRelatedWork W2115641108 @default.
- W4382066040 hasRelatedWork W2546584843 @default.
- W4382066040 hasRelatedWork W2772917594 @default.
- W4382066040 hasRelatedWork W2949849531 @default.
- W4382066040 hasRelatedWork W8774632 @default.
- W4382066040 hasVolume "15" @default.
- W4382066040 isParatext "false" @default.
- W4382066040 isRetracted "false" @default.
- W4382066040 workType "article" @default.