Zobrazeno 1 - 10
of 387
pro vyhledávání: '"Urban Scene"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 1070-1084 (2025)
In urban scenes, there are man-made ground objects with complex structures and significant height differences, which leads to challenges in generating large-scale true digital orthophoto maps (TDOMs) of cities. However, traditional TDOM generation me
Externí odkaz:
https://doaj.org/article/e30fe2921e66421fa417e70949b358be
Autor:
Ahmed Salah Ibrahim
Publikováno v:
Journal of Urban Research, Vol 48, Iss 2, Pp 54-76 (2024)
The urban scene in the city expresses the overall environmental and spatial configuration that interacts within human activity. It is a reflection of the characteristics of the city in all its economic, social, environmental and cultural dimensions.
Externí odkaz:
https://doaj.org/article/cd07622192c94bc4b775235e7233b9c9
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6561-6576 (2024)
Urban trees, as a characteristic element of the urban ecosystem, exert significant influences on climate supervision. Therefore, the extraction of individual trees in urban areas holds significant research value. However, the complexity of features i
Externí odkaz:
https://doaj.org/article/755b9d7c7c524a8c84d3bb9652e06f00
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 3065 (2024)
In urban scenes, buildings are usually dense and exhibit similar shapes. Thus, existing autonomous unmanned aerial vehicle (UAV) localization schemes based on map matching, especially the semantic shape matching (SSM) method, cannot capture the uniqu
Externí odkaz:
https://doaj.org/article/56e4216451494f6c93610c784a3c6f01
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 127, Iss , Pp 103696- (2024)
Urban scene understanding and functional identification are essential for accurately characterizing the spatial structure and optimizing the city layouts during rapid urbanization. Multimodal data is important for recognizing the distribution pattern
Externí odkaz:
https://doaj.org/article/469eee0a19f24930b08c31fe6092788d
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 7, Pp 11763-11784 (2023)
The monitoring of urban land categories is crucial for effective land resource management and urban planning. To address challenges such as uneven parcel distribution, difficulty in feature extraction and loss of image information in urban remote sen
Externí odkaz:
https://doaj.org/article/43c266f58a6d4e448f04cc03aa4bfceb
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 10230-10245 (2023)
The global context is crucial to the semantic segmentation task of remote sensing (RS) urban scene imagery since objects have large size variations, high similarity, and mutual occlusion. However, the existing methods for extracting global context in
Externí odkaz:
https://doaj.org/article/9efa5adbf9de4d44b2df77a4ad559c23
Multiscale Context-Aware Feature Fusion Network for Land-Cover Classification of Urban Scene Imagery
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8475-8491 (2023)
Recently, several land-cover classification models have achieved great success in terms of both accuracy and computational performance. However, it remains challenging due to interclass similarities, intraclass variations, scale-related inaccuracies,
Externí odkaz:
https://doaj.org/article/df74811d10424ca4a53137cc572f1241
Publikováno v:
IET Generation, Transmission & Distribution, Vol 16, Iss 24, Pp 5041-5051 (2022)
Abstract In the distribution network planning work, taking into account the constraints of funds and construction annual plan, there is always the prioritization problem of multiple MVDC distribution networks. Aiming at the problem, this paper propos
Externí odkaz:
https://doaj.org/article/8a974cdb51524632a99f81e4f77f88df
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 1079 (2024)
With the continuous advancement of the construction of smart cities, the availability of large-scale and semantically enriched datasets is essential for enhancing the machine’s ability to understand urban scenes. Mesh data have a distinct advantage
Externí odkaz:
https://doaj.org/article/815f0c85f38b421eb0149f4ac25ff4fd