Paper
23 February 2023 Glacier remote sensing information extraction based on improved DeepLab v3
Yanni Ma, Junchuan Yu, Qiong Wu, Xin Xu, Yangyang Chen
Author Affiliations +
Proceedings Volume 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022); 125512C (2023) https://doi.org/10.1117/12.2668425
Event: Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 2022, Changchun, China
Abstract
This paper uses DeepLab v3 to extract glacier information from remote sensing images. DeepLab v3 is embedded into the stacked model to study the glacier recognition in the hinterland of Qilian Mountains in Gansu Province, learn the glacier characteristics and background characteristics respectively, and then integrate the two channels to produce the final results. With this method, glacier information can be extracted with high efficiency and accuracy.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanni Ma, Junchuan Yu, Qiong Wu, Xin Xu, and Yangyang Chen "Glacier remote sensing information extraction based on improved DeepLab v3", Proc. SPIE 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 125512C (23 February 2023); https://doi.org/10.1117/12.2668425
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KEYWORDS
Convolution

Image segmentation

Glaciers

Remote sensing

Education and training

Semantics

Data modeling

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