Robust feature aggregation network for lightweight and effective remote sensing image change detection

You, Zhi-Hui; Chen, Si-Bao; Wang, Jia-Xin; Luo, Bin

doi:10.1016/j.isprsjprs.2024.06.013

ISPRS Journal of Photogrammetry and Remote Sensing

2024

DOI: 10.1016/j.isprsjprs.2024.06.013

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Robust feature aggregation network for lightweight and effective remote sensing image change detection

Zhi-Hui You,

Si-Bao Chen,

Jia-Xin Wang

et al.

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2024

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Cited by 2 publications

References 29 publications

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TACD: A Novel 3-D Swin Transformer With Enhanced Feature Aggregation for Change Detection in Image Time Series

Mao,

He,

et al. 2024

IEEE Trans. Geosci. Remote Sensing

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TACD: A Novel 3-D Swin Transformer With Enhanced Feature Aggregation for Change Detection in Image Time Series

Mao,

He,

et al. 2024

IEEE Trans. Geosci. Remote Sensing

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A Fractal Curve-Inspired Framework for Enhanced Semantic Segmentation of Remote Sensing Images

Wang,

Yuan,

et al. 2024

Sensors

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The classification and recognition of features play a vital role in production and daily life; however, the current semantic segmentation of remote sensing images is hampered by background interference and other factors, leading to issues such as fuzzy boundary segmentation. To address these challenges, we propose a novel module for encoding and reconstructing multi-dimensional feature layers. Our approach first utilizes a bilinear interpolation method to downsample the multi-dimensional feature layer in the coding stage of the U-shaped framework. Subsequently, we incorporate a fractal curve module into the encoder, which aggregates points on feature maps from different layers, effectively grouping points from diverse regions. Finally, we introduce an aggregation layer that combines the upsampling method from the UNet series, employing the multi-scale censoring of multi-dimensional feature map outputs from various layers to efficiently capture both spatial and feature information. The experimental results across diverse scenarios demonstrate that our model achieves excellent performance in aggregating point information from feature maps, significantly enhancing semantic segmentation tasks.

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Robust feature aggregation network for lightweight and effective remote sensing image change detection

Cited by 2 publications

References 29 publications

TACD: A Novel 3-D Swin Transformer With Enhanced Feature Aggregation for Change Detection in Image Time Series

TACD: A Novel 3-D Swin Transformer With Enhanced Feature Aggregation for Change Detection in Image Time Series

A Fractal Curve-Inspired Framework for Enhanced Semantic Segmentation of Remote Sensing Images

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