Research on semantic segmentation algorithm of multispectral remote sensing image based on deep learning

Li Zhang; Yibei Chen; Yiyong Lin; Bingxi Dong; Xinglong Ran

doi:10.1117/12.2643660

9 October 2022 Research on semantic segmentation algorithm of multispectral remote sensing image based on deep learning

Li Zhang, Yibei Chen, Yiyong Lin, Bingxi Dong, Xinglong Ran

Proceedings Volume 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022); 1224615 (2022) https://doi.org/10.1117/12.2643660
Event: 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 2022, Qingdao, China

Abstract

The semantic segmentation technology of remote sensing image refers to labeling the semantic information of pixel-level of the image to complete the classification, namely, terrain classification. It is widely used in intelligent maps, smart cities and other aspects. With the increase of satellite image resolution and the development video communication moonlet, its application and scenes are greatly broadened. The traditional remote sensing image semantic segmentation method mainly uses statistical machine learning methods, which cannot take into account the spectral features and the context semantic relationship of pixels, and has a bottleneck in improving the accuracy of classification. In deep learning method, Using the convolutional neural networks to extract features can achieve classification results of remote sensing images with higher classification accuracy. Aiming at the problems of existing deep learning methods in multi-spectral image semantic segmentation, to make full use of the information of multi-spectral images, this paper proposes a semantic segmentation algorithm for multispectral remote sensing images based on deep learning and verified the method on open data sets.

Citation Download Citation

Li Zhang, Yibei Chen, Yiyong Lin, Bingxi Dong, and Xinglong Ran "Research on semantic segmentation algorithm of multispectral remote sensing image based on deep learning", Proc. SPIE 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 1224615 (9 October 2022); https://doi.org/10.1117/12.2643660

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KEYWORDS

Image segmentation

Remote sensing

Convolution

Image classification

Image processing algorithms and systems

Classification systems

Multispectral imaging

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