Application of a graph convolutional network with visual and semantic features to classify urban scenes
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2022.2048834
Abstract: Abstract Urban scenes consist of visual and semantic features and exhibit spatial relationships among land-use types (e.g. industrial areas are far away from the residential zones). This study applied a graph convolutional network with neighborhood… read more here.
Keywords: graph convolutional; network; visual semantic; convolutional network ... See more keywords
Proportion Estimation for Urban Mixed Scenes Based on Nonnegative Matrix Factorization for High-Spatial Resolution Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3119988
Abstract: High-spatial resolution urban scenes, which contain ecological, social, and environmental zones, are composed of diverse functional areas. Depicting urban scenes from both qualitative and quantitative aspects, i.e., scene classification and scene unmixing, are increasingly important… read more here.
Keywords: urban scenes; scene; nonnegative matrix; matrix factorization ... See more keywords
An Improved Method for Individual Tree Segmentation in Complex Urban Scenes Based on Using Multispectral LiDAR by Deep Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3373395
Abstract: 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 in… read more here.
Keywords: segmentation; multispectral lidar; tree segmentation; urban scenes ... See more keywords
Cauchy–Rician Model for Backscattering in Urban SAR Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3146370
Abstract: This letter presents a new statistical model for urban scene synthetic aperture radar (SAR) images by combining the Cauchy distribution, which is heavy tailed, with the Rician backscattering. The literature spans various well-known models most… read more here.
Keywords: rician model; cauchy rician; model; sar images ... See more keywords
Using 2-Lines Congruent Sets for Coarse Registration of Terrestrial Point Clouds in Urban Scenes
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3128403
Abstract: The registration of terrestrial point clouds is a crucial technique to obtaining the entire scene geometry. However, urban scenes, characterized by repetitive components, symmetrical structures, and object occlusion, pose ambiguity challenge of matches in the… read more here.
Keywords: registration terrestrial; point clouds; terrestrial point; urban scenes ... See more keywords
Light Transport Induced Domain Adaptation for Semantic Segmentation in Thermal Infrared Urban Scenes
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3194931
Abstract: Semantic segmentation in urban scenes is widely used in applications of intelligent transportation systems (ITS). In urban scenes, thermal infrared (TIR) images can be captured in weak illumination conditions or in the presence of obscuration… read more here.
Keywords: thermal infrared; domain adaptation; urban scenes; semantic segmentation ... See more keywords