Res50-SimAM-ASPP-Unet: A Semantic Segmentation Model for High-Resolution Remote Sensing Images

High-resolution remote sensing images contain intricate details and complex backgrounds, presenting challenges for traditional segmentation methods, which often struggle with accurate classification and contextual understanding. To address these issues, this study introduces the Res50-SimAM-ASPP-Une...

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Hlavní autoři:	Jiajing Cai, Jinmei Shi, Yu-Beng Leau, Shangyu Meng, Xiuyan Zheng, Jinghe Zhou
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2024-01-01
Edice:	IEEE Access
Témata:	Segmentation of high-resolution remote sensing images multi-scale void space pyramid pool ASPP module attention mechanism SimAM module Res50-SimAM-ASPP-Unet
On-line přístup:	https://ieeexplore.ieee.org/document/10804789/
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