Improved SE-UNet network-based semantic segmentation and extraction of hidden geological significance in geological maps

ABSTRACT: Automatic segmentation and recognition of content and element information in color geological map are of great significance for researchers to analyze the distribution of mineral resources and predict disaster information. This article focuses on color planar raster geological map (geologi...

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Autori principali:	Kai Ma, Jun-jie Liu, Si-qi Lu, Ze-hua Huang, Miao Tian, Jun-yuan Deng, Zhong Xie, Qin-jun Qiu
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	KeAi Communications Co., Ltd. 2025-11-01
Serie:	China Geology
Soggetti:	Geological map UNet model Image segmentation Semantic segmentation Pixel pre-segmentation Clustering algorithm
Accesso online:	http://www.sciencedirect.com/science/article/pii/S209651922500103X
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