The results show that this method can extract ocean front with one pixel width and the extraction of ocean front is in good agreement with human visual ...
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The results show that this method can extract ocean front with one pixel width and the extraction of ocean front is in good agreement with human visual ...
Based on the in-depth interpretation of complex signal kurtosis (CSK), this paper proposes a new ship detection method based on CSK in single-channel SAR ...
Jul 20, 2022 · OCEAN FRONT DETECTION FROM SAR IMAGERY USING SLIC SUPERPIXEL SEGMENTATION METHOD · Presentation · Discussion · Resources.
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Experiments on extensive polarimetric SAR data sets show that the proposed method can significantly improve the segmentation results, with producing better ...
We propose a new superpixel generation method for SAR images based on edge detection and texture region selection (EDTRS), which takes into account the ...
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In this paper, we propose a new ship detector from the perspective of nonlocal self-similarity in SAR images to improve the ship detection performance.
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In this paper we proposed an oil spill detection method based on convolutional neural network (CNN) and Simple Linear Iterative Clustering (SLIC) superpixel.
Superpixel generation has become an increasingly popular tool for SAR image processing. In this paper, we present a superpixel cosegmentation algorithm for SAR ...
Sep 26, 2023 · A novel unsupervised machine learning-based ship detection algorithm, named energy density-induced clustering (EDIC), is proposed in this paper.