Paper
28 March 2023 Remote sensing image segmentation network based on attention mechanism feature fusion
Ji Gao, Huan Zhao, Wufei Liu, Zipeng Zhang
Author Affiliations +
Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 1256621 (2023) https://doi.org/10.1117/12.2668299
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China
Abstract
For remote sensing image segmentation projects, it is usually necessary to segment the boundary of ground objects finely, but the fitting of the boundary is a difficult problem in deep learning image segmentation. At the same time, for remote sensing images taken from high altitude, usually many large-scale targets in natural scenes will become small target objects in remote sensing images. To solve this problem, in order to improve the recognition effect of remote sensing image scene targets with huge scale differences, this paper combines UNet and FPN. This paper uses the framework of pytorch1.7.1 to establish the UNet + FPN model. Through the experimental results and visual analysis of building data sets and road data sets, the model in this paper has obvious advantages.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ji Gao, Huan Zhao, Wufei Liu, and Zipeng Zhang "Remote sensing image segmentation network based on attention mechanism feature fusion", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 1256621 (28 March 2023); https://doi.org/10.1117/12.2668299
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KEYWORDS
Image segmentation

Remote sensing

Image processing algorithms and systems

Feature fusion

Visualization

Detection and tracking algorithms

Roads

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