Semantic Segmentation of Remote Sensing Imagery Based on Improved Squeeze and Excitaion Block

Shengwei Wu; Jiaoli Fang; Daming Zhu

doi:10.3788/LOP231528

Laser & Optoelectronics Progress, Volume. 61, Issue 12, 1228002(2024)

Semantic Segmentation of Remote Sensing Imagery Based on Improved Squeeze and Excitaion Block

Shengwei Wu¹, Jiaoli Fang^2、*, and Daming Zhu¹

Author Affiliations

¹Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650000, Yunnan , China

²Computer Center, Kunming University of Science and Technology, Kunming 650000, Yunnan , China

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Shengwei Wu, Jiaoli Fang, Daming Zhu. Semantic Segmentation of Remote Sensing Imagery Based on Improved Squeeze and Excitaion Block[J]. Laser & Optoelectronics Progress, 2024, 61(12): 1228002

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Paper Information

Category: Remote Sensing and Sensors

Received: Jun. 13, 2023

Accepted: Aug. 10, 2023

Published Online: May. 20, 2024

The Author Email: Jiaoli Fang (fangjiaoli@163.com)

DOI:10.3788/LOP231528

CSTR:32186.14.LOP231528

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology