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- W4312332071 abstract "The extraction of buildings by remote sensing satellite images has obvious advantages for China to use in urban construction, population planning and disaster warning. However, various problems arise in practical applications, such as unclear texture features, misclassification of terrain as buildings as well as lighting and weather affecting the accuracy rate. Due to the complexity and multi-scale nature of high-resolution images, some basic deep learning methods do not consider the spatial contextual information of the overall image, so the segmentation results often have defects such as rough edges and incomplete predictions. In this paper, we design a unique algorithmic idea, optimization and integration of past models, the module about Feature selection decoder module structure is proposed to achieve feature extraction and fusion by introducing advanced backbone network. High-level semantic information is utilized to complement the overall extraction map. The results indicate that the segmentation accuracy of the method on the Massachusetts dataset outperforms the previous models in all aspects." @default.
- W4312332071 created "2023-01-04" @default.
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- W4312332071 date "2022-09-12" @default.
- W4312332071 modified "2023-09-27" @default.
- W4312332071 title "PUNet: Convolutional Networks based on Parallel Feature Fusion" @default.
- W4312332071 doi "https://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927916" @default.
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