An iterative attention context fusion network for semantic segmentation of remote sensing image

Yanpu Chen; Haihui Wang; Shuiping Zhang; Po Hu

doi:10.1117/12.3011073

7 March 2024 An iterative attention context fusion network for semantic segmentation of remote sensing image

Yanpu Chen, Haihui Wang, Shuiping Zhang, Po Hu

Proceedings Volume 13088, MIPPR 2023: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 130880B (2024) https://doi.org/10.1117/12.3011073
Event: Twelfth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2023), 2023, Wuhan, China

Abstract

In recent years, high-resolution remote sensing image segmentation has become a key task involving technology in many fields, mainly used to accurately extract target information from remote sensing images, and widely used in land detection, coverage classification, etc. These images are characterized by high resolution and large scale, and the overall segmentation requires high performance of hardware devices, the downsampling method usually used is easy to affect the segmentation quality, cropping and slicing the image will lead to the lack of edge information, and the problems of category homogenization, changes in complex scenes, and noise and occlusion make the segmentation challenging. Therefore, in this paper, we propose An iterative attention context fusion network (IACFNet) based on the attention mechanism as well as information fusion at different scales, which iteratively calculates the attention module weights connecting low and high features and refines the problem of spatial information loss, utilizing multiscale segmentation for information complementation, and utilizing an improved boundary loss function to precisely define boundary instances. Our proposed method obtains a performance improvement of about 2.8% and 1.5% in the mean intersection over union (mIoU) metric compared to the current state-of-the-art methods, respectively.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yanpu Chen, Haihui Wang, Shuiping Zhang, and Po Hu "An iterative attention context fusion network for semantic segmentation of remote sensing image", Proc. SPIE 13088, MIPPR 2023: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 130880B (7 March 2024); https://doi.org/10.1117/12.3011073

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KEYWORDS

Image segmentation

Image fusion

Remote sensing

Semantics

Image quality

Homogenization

Image classification

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