To improve the accuracy of coastline extraction for polarimetric synthetic aperture radar (PolSAR) images, an adaptive superpixel segmentation-based method is proposed. First, multiple polarimetric ...
Abstract: In the field of deep learning-based medical image segmentation, convolutional neural networks (CNNs) extract image features by combining linear convolutional layers with nonlinear activation ...
Semantic segmentation of remote sensing images is pivotal for comprehensive Earth observation, but the demand for interpreting new object categories, coupled with the high expense of manual annotation ...
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