Отрывок: They are very complicated procedures that have many realizations. The detection is the process of partitioning a SAR image into multiple regions (connected sets of pixels that corre- spond to objects). The goal of detection is to simplify the representation of an image into more meaningful to analyze. The classification is defining visual content to seg- mented regions. It is final step for detection build...
Полная запись метаданных
Поле DC Значение Язык
dc.contributor.authorYe, S.P.-
dc.contributor.authorChen, C.X.-
dc.contributor.authorNedzved, A.-
dc.contributor.authorJiang, J.-
dc.date.accessioned2021-01-06 17:24:02-
dc.date.available2021-01-06 17:24:02-
dc.date.issued2020-12-
dc.identifierDspace\SGAU\20210106\86858ru
dc.identifier.citationYe SP, Chen CX, Nedzved A, Jiang J. Building detection by local region features in SAR images. Computer Optics 2020; 44(6): 944-950. DOI: 10.18287/2412-6179-CO-703.ru
dc.identifier.urihttps://dx.doi.org/10.18287/2412-6179-CO-703-
dc.identifier.urihttp://repo.ssau.ru/handle/Zhurnal-Komputernaya-optika/Building-detection-by-local-region-features-in-SAR-images-86858-
dc.description.abstractThe buildings are very complex for detection on SAR images, where the basic features of those are shadows. There are many different representations for SAR shadow. As result it is no possible to use convolutional neural network for building detection directly. In this article we give property analysis of SAR shadows of different type buildings. After that, each region (ROI) prepared for training of building detection is corrected with its own SAR shadow properties. Reconstructions of ROI will be put in a modified YOLO network for building detection with better quality result.ru
dc.description.sponsorshipThe work was partially funded by Public Welfare Technology Applied Research Program of Zhejiang Province under Grant (No.LGJ18F020001, LGF18F030004, LGJ19F020002 , and LGF19F020016), and by National introduction project of senior foreign experts under Grant No.G20200216025. Introduction Project of Zhejiang Province under Grant (No.100), and project of BRFFI F18R-218 "Development and experimental research of descriptive methods for automatization of biomedical images analysis".ru
dc.language.isoen_USru
dc.publisherСамарский национальный исследовательский университетru
dc.relation.ispartofseries44;6-
dc.subjectSAR imagesru
dc.subjectbuilding detectionru
dc.subjectYOLO networkru
dc.titleBuilding detection by local region features in SAR imagesru
dc.typeArticleru
dc.textpartThey are very complicated procedures that have many realizations. The detection is the process of partitioning a SAR image into multiple regions (connected sets of pixels that corre- spond to objects). The goal of detection is to simplify the representation of an image into more meaningful to analyze. The classification is defining visual content to seg- mented regions. It is final step for detection build...-
Располагается в коллекциях: Журнал "Компьютерная оптика"

Файлы этого ресурса:
Файл Описание Размер Формат  
440612.pdfОсновная статья3.11 MBAdobe PDFПросмотреть/Открыть
Показать базовое описание ресурса Просмотр статистики
Поделиться:



Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.