Results 171 to 180 of about 471,167 (221)
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IEEE Transactions on Image Processing, 2023
Deep learning (DL) based methods represented by convolutional neural networks (CNNs) are widely used in hyperspectral image classification (HSIC). Some of these methods have strong ability to extract local information, but the extraction of long-range ...
Chunhui Zhao +6 more
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Deep learning (DL) based methods represented by convolutional neural networks (CNNs) are widely used in hyperspectral image classification (HSIC). Some of these methods have strong ability to extract local information, but the extraction of long-range ...
Chunhui Zhao +6 more
semanticscholar +1 more source
Ship Detection in SAR Images Based on Multilevel Superpixel Segmentation and Fuzzy Fusion
IEEE Transactions on Geoscience and Remote Sensing, 2023Superpixel can maintain the boundary of the target and reduce the influence of speckle noise, which has been widely applied to synthetic aperture radar (SAR) image target detection.
Qian Sun +4 more
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FSNet: Frequency Domain Guided Superpixel Segmentation Network for Complex Scenes
ACM Multimedia, 2023Existing superpixel segmentation algorithms mainly focus on natural image with high-quality, while neglecting the inevitable environment constraint in complex scenes. In this paper, we propose an end-to-end frequency domain guided superpixel segmentation
Hua Li +3 more
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International Journal of Remote Sensing, 2023
Convolution in convolutional neural network(CNN) essentially uses a filter (kernel) with shared parameters to achieve feature extraction by computing the weighted sum of the centre pixel and adjacent pixels.
Shike Liang, Zhen Hua, Jinjiang Li
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Convolution in convolutional neural network(CNN) essentially uses a filter (kernel) with shared parameters to achieve feature extraction by computing the weighted sum of the centre pixel and adjacent pixels.
Shike Liang, Zhen Hua, Jinjiang Li
semanticscholar +1 more source
Weak-Boundary Sensitive Superpixel Segmentation Based on Local Adaptive Distance
IEEE transactions on circuits and systems for video technology (Print), 2023Superpixel segmentation provides a way to capture object boundaries unsupervised and has benefited many compute vision applications. However, under-segmentation for weak boundaries and poor compatibility with image feature representations often limit its
Limin Sun +3 more
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Differential Evolutionary Superpixel Segmentation
IEEE Transactions on Image Processing, 2018Superpixel segmentation has been of increasing importance in many computer vision applications recently. To handle the problem, most state-of-the-art algorithms either adopt a local color variance model or a local optimization algorithm. This paper develops a new approach, named differential evolutionary superpixels, which is able to optimize the ...
Yue-Jiao Gong, Yicong Zhou
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SLIC Superpixel Segmentation for Polarimetric SAR Images
IEEE Transactions on Geoscience and Remote Sensing, 2022Superpixel segmentation approaches for polarimetric synthetic aperture radar (SAR) images have only been studied in recent years. Simple linear iterative clustering (SLIC) is a simple and efficient superpixel segmentation method, first proposed for ...
Junjun Yin +5 more
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Content-Adaptive Superpixel Segmentation
IEEE Transactions on Image Processing, 2018Superpixel segmentation targets at grouping pixels in an image into atomic regions whose boundaries align well with the natural object boundaries. This paper first proposes a new feature representation for superpixel segmentation that holistically embraces color, contour, texture, and spatial features.
Xiaolin Xiao, Yicong Zhou, Yue-Jiao Gong
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Fast Multiscale Superpixel Segmentation for SAR Imagery
IEEE Geoscience and Remote Sensing Letters, 2022Superpixel segmentation is essential to the rapid information extraction from synthetic aperture radar (SAR) imagery. In this letter, we propose a fast multiscale superpixel segmentation method based on the minimum spanning tree (MST), which can generate
Wei Zhang, D. Xiang, Yi Su
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Blind Image Deblurring via Superpixel Segmentation Prior
IEEE transactions on circuits and systems for video technology (Print), 2022We present an effective blind image deblurring algorithm based on superpixel segmentation prior (SSP). The motivation of this work is an interesting observation that the more rough the segmentation boundaries are, the clearer the image will be ...
Bing Luo +4 more
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