Zobrazeno 1 - 10
of 89
pro vyhledávání: '"multisource fusion"'
Publikováno v:
Geo-spatial Information Science, Pp 1-31 (2024)
Capsule Robot Endoscope (CRE), as one of the widely used methods of gastrointestinal medical examination, has the characteristics of painless, non-cross infection, and no movement restriction, compared with other traditional endoscopes. To obtain the
Externí odkaz:
https://doaj.org/article/f6ba1137e7854231a6b2316873b51206
Autor:
Fazel Amiri, Saeedeh Nateghi
Publikováno v:
مدلسازی و مدیریت آب و خاک, Vol 3, Iss 2, Pp 143-156 (2023)
Introduction Land use/cover information is vital to the dynamic monitoring, planning and management, and the reasonable development of land. Recently, due to human activity, land cover information has changed dramatically. Furthermore, construction,
Externí odkaz:
https://doaj.org/article/1bc6a151be9d4ccfbd46ebbc35e3fccf
Autor:
Jing Zhang, Hong Li
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1596 (2024)
Tropical cyclones (TCs) are characterized by robust vortical motion and intense thermodynamic processes, often causing damage in coastal cities as they result in landfall. Accurately estimating the ensemble mean of TC precipitation is critical for fo
Externí odkaz:
https://doaj.org/article/082d576f31b24a0cb1f7ec800293e956
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 2819-2840 (2023)
In the last decade, the increase of active and passive earth observation satellites has provided us with more remote sensing data. This fact has led to enhanced interest in the fusion of different satellite data since some of the satellites have prop
Externí odkaz:
https://doaj.org/article/d45bcb735b57483d8667bc118275b84d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 4381-4389 (2021)
Feature extraction and fusion are two critical issues for the task of multisource classification. In this article, we propose an enhanced multisource fusion network (EMFNet) to address them in an end-to-end framework. Specifically, two convolutional
Externí odkaz:
https://doaj.org/article/2bd69a56b95e41638aad33e2662876ca
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 8773-8788 (2021)
Recently, deep learning-based methods outperform others in hyperspectral image (HSI) classification. However, the deep learning methods require sufficient labeled samples to improve performance, which is unfeasible in practice. The training labels ar
Externí odkaz:
https://doaj.org/article/1d6a574889e94002823ff9620e8cc8ba
Publikováno v:
IEEE Access, Vol 8, Pp 146300-146307 (2020)
In complex underwater environments, the single mode of a single sensor cannot meet the precision requirement of object identification, and multisource fusion is currently the mainstream research approach. Deep canonical correlation analysis is an eff
Externí odkaz:
https://doaj.org/article/f87f78e4860f4df78833ab6809b45c7e
Akademický článek
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Akademický článek
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Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5491 (2022)
Due to the functional limitations of a single UAV, UAV clusters have become an important part of smart cities, and the relative positioning between UAVs is the core difficulty in UAV cluster applications. Existing UAVs can be equipped with satellite
Externí odkaz:
https://doaj.org/article/19e435c205c341e481929138a4c8de3a