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- W2168379739 abstract "Typically, high-resolution remote sensing (HRRS) images contain a high level noise as well as possess different texture scales. As a result, existing image segmentation approaches are not suitable to HRRS imagery. In this paper, we have presented an unsupervised texture-based segmentation algorithm suitable for HRRS images, by extending the local binary pattern texture features and the lossless wavelet transform. Our experimental results using USGS 1 ft orthoimagery show a significant improvement over the previously proposed LBP approach" @default.
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- W2168379739 date "2005-10-24" @default.
- W2168379739 modified "2023-09-22" @default.
- W2168379739 title "Texture-Based Remote-Sensing Image Segmentation" @default.
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- W2168379739 doi "https://doi.org/10.1109/icme.2005.1521710" @default.
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