Efficient Patch-Wise Semantic Segmentation for Large-Scale Remote Sensing Images

@article{Liu2018EfficientPS,
  title={Efficient Patch-Wise Semantic Segmentation for Large-Scale Remote Sensing Images},
  author={Y. Liu and Qirui Ren and Jiahui Geng and M. Ding and J. Li},
  journal={Sensors (Basel, Switzerland)},
  year={2018},
  volume={18}
}
  • Y. Liu, Qirui Ren, +2 authors J. Li
  • Published 2018
  • Computer Science, Medicine
  • Sensors (Basel, Switzerland)
  • Efficient and accurate semantic segmentation is the key technique for automatic remote sensing image analysis. While there have been many segmentation methods based on traditional hand-craft feature extractors, it is still challenging to process high-resolution and large-scale remote sensing images. In this work, a novel patch-wise semantic segmentation method with a new training strategy based on fully convolutional networks is presented to segment common land resources. First, to handle the… CONTINUE READING
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    References

    SHOWING 1-10 OF 47 REFERENCES
    Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation
    • 674
    • PDF
    Automatic Image Registration Through Image Segmentation and SIFT
    • 162
    • PDF
    Attention to Scale: Scale-Aware Semantic Image Segmentation
    • 704
    • PDF
    RT-Seg: A Real-Time Semantic Segmentation Network for Side-Scan Sonar Images
    • 2
    • PDF
    Marker-Controlled Watershed-Based Segmentation of Multiresolution Remote Sensing Images
    • 68
    Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images
    • Gong Cheng, P. Zhou, J. Han
    • Computer Science
    • IEEE Transactions on Geoscience and Remote Sensing
    • 2016
    • 748
    DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
    • 5,985
    • PDF
    Optimal Segmentation of High-Resolution Remote Sensing Image by Combining Superpixels With the Minimum Spanning Tree
    • 23