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Dual Stream Fusion Network for Multi-spectral High Resolution Remote Sensing Image Segmentation

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Pattern Recognition and Computer Vision (PRCV 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 13020))

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Abstract

Semantic segmentation is in-demand in High Resolution Remote Sensing (HRRS) image processing. Unlike natural images, HRRS images usually provide channels such as Near Infrared (NIR) in addition to RGB channels. However, in order to make use of the pre-trained model, the current semantic segmentation methods in remote sensing field usually only use the RGB channel and discard the information of other channels. In this paper, to make full use of the HRRS image information, a dual-stream fusion network is proposed to fuse the information of different channel combinations through a Feature Pyramid Network (FPN), then a Stage Pyramid Pooling (SPP) module is used to integrate the features of different scales and produce the final segmentation results. Experiments on the RSCUP competition dataset show that the proposed approach can effectively improve the segmentation performance.

The first author is a student.

This research was supported by the National Key Research and Development Program of China under Grant No. 2018AAA0100400, and the National Natural Science Foundation of China under Grants 62071466, 62076242, and 61976208.

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Author information

Authors and Affiliations

  1. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China

    Yong Cao, Chunlei Huo & Shiming Xiang

  2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China

    Yong Cao, Chunlei Huo, Shiming Xiang & Chunhong Pan

  3. Beijing City University Intelligent Electronic Manufacturing Research Center, Beijing, 100191, China

    Yiwen Shi

  4. Beijing University of Civil Engineering and Architecture, Beijing, 102627, China

    Yiwei Liu

Authors
  1. Yong Cao
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  2. Yiwen Shi
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  3. Yiwei Liu
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  4. Chunlei Huo
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  5. Shiming Xiang
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  6. Chunhong Pan
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Corresponding author

Correspondence to Yong Cao .

Editor information

Editors and Affiliations

  1. University of Science and Technology Beijing, Beijing, China

    Huimin Ma

  2. Chinese Academy of Sciences, Beijing, China

    Liang Wang

  3. Tsinghua University, Beijing, China

    Changshui Zhang

  4. Zhejiang University, Hangzhou, China

    Fei Wu

  5. Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  6. Hunan University, Changsha, China

    Yaonan Wang

  7. Sun Yat-Sen University, Guangzhou, Guangdong, China

    Jianhuang Lai

  8. Beijing Jiaotong University, Beijing, China

    Yao Zhao

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Cao, Y., Shi, Y., Liu, Y., Huo, C., Xiang, S., Pan, C. (2021). Dual Stream Fusion Network for Multi-spectral High Resolution Remote Sensing Image Segmentation. In: Ma, H., et al. Pattern Recognition and Computer Vision. PRCV 2021. Lecture Notes in Computer Science(), vol 13020. Springer, Cham. https://doi.org/10.1007/978-3-030-88007-1_44

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  • DOI: https://doi.org/10.1007/978-3-030-88007-1_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-88006-4

  • Online ISBN: 978-3-030-88007-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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