Semantic Segmentation of Remote sensing images via combining residuals and multi-scale modules

Konferenz: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
17.12.2021 - 19.12.2021 in Shenyang, China

Tagungsband: ICMLCA 2021

Seiten: 4Sprache: EnglischTyp: PDF

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Autoren:
Liu, Zinuo (Guangzhou No.2 High School, China)

Inhalt:
The residual network is designed for image classification, which is very effective for image classification. But for image segmentation, it is far from enough. Previous PSPNET uses multi-scale features and achieves great success. However, the previous PSPNET only used multi-scale features in the decoding part, so we integrated the advantages of residual network and multi-scale feature module and propose a residual multi-scale module. Experiments show that this module is very effective for semantic segmentation of high resolution images.