Remote sensing image segmentation based on improved Mask-RCNN

Zhongqi Cheng; Zhan Guo; Huajun Shi

doi:10.1117/12.2655839

12 January 2023 Remote sensing image segmentation based on improved Mask-RCNN

Zhongqi Cheng, Zhan Guo, Huajun Shi

Proceedings Volume 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022); 1250917 (2023) https://doi.org/10.1117/12.2655839
Event: Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 2022, Guangzhou, China

Abstract

Satellite remote sensing images have the problems of large image scale, dense arrangement of segmentation targets and different directions. And the specifications and clarity are far from the natural images, resulting in difficulty in feature extraction. Therefore, the detection accuracy of Mask-RCNN is poor when applied to remote sensing image instance segmentation. In this regard, an improved Mask-RCNN algorithm is proposed. First, a deformable convolution kernel is introduced into the back bone network to adaptively change the theoretical receptive field. On this basis, the FPN module is modified, and feature layered fusion is introduced to further improve the feature extraction capability of the model. At the same time, the Soft-NMS algorithm is used to screen the target candidate frame. Validated using the iSAID dataset. The experimental results based on the data set show that the improved algorithm has higher detection accuracy than the original algorithm, and the missed detection rate is reduced.

Citation Download Citation

Zhongqi Cheng, Zhan Guo, and Huajun Shi "Remote sensing image segmentation based on improved Mask-RCNN", Proc. SPIE 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 1250917 (12 January 2023); https://doi.org/10.1117/12.2655839

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KEYWORDS

Detection and tracking algorithms

Image segmentation

Remote sensing

Convolution

Feature extraction

Image processing algorithms and systems

Data modeling

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