Results 31 to 40 of about 6,422 (208)
LESC: Superpixel cut‐based local expansion for accurate stereo matching
IET Image Processing, 2022 The rapid estimation of the accurate disparity between pixels is the goal of stereo matching. However, it is very difficult for the 3D labels‐based methods due to huge search space of 3D labels, especially for high‐resolution images.
Xianjing Cheng +6 more
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Background Subtraction Based on Random Superpixels Under Multiple Scales for Video Analytics
IEEE Access, 2018 Background subtraction is a fundamental problem of computer vision, which is usually the first step of video analytics to extract the interesting region.
Weitao Fang +5 more
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Superpixel Nonlocal Weighting Joint Sparse Representation for Hyperspectral Image Classification
Remote Sensing, 2022 Joint sparse representation classification (JSRC) is a representative spectral–spatial classifier for hyperspectral images (HSIs). However, the JSRC is inappropriate for highly heterogeneous areas due to the spatial information being extracted from a ...
Aizhu Zhang +7 more
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Superpixels, Occlusion and Stereo [PDF]
2011 International Conference on Digital Image Computing: Techniques and Applications, 2011 Graph-based energy minimization is now the state of the art in stereo matching methods. In spite of its outstanding performance, few efforts have been made to enhance its capability of occlusion handling. We propose an occlusion constraint, an iterative optimization strategy and a mechanism that proceeds on both the digital pixel level and the super ...
Yuhang Zhang 0001 +3 more
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Earth remote sensing data processing for obtaining vegetation types maps [PDF]
Компьютерная оптика, 2018 In this paper, we propose an earth remote sensing data processing technology for obtaining vegetation types maps. The technology includes the following steps: obtaining superpixel representation of an image, calculating superpixel features, K-Means ...
Anna Varlamova +2 more
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Superpixel-Based Unsupervised Hyperspectral Unmixing [PDF]
, 2018 Recently, superpixel-based approaches have been proposed for hyperspectral unmixing. The basic assumption of this approach is that the superpixel over-segmentation segments the image into small homogeneous areas.
Yi, Jiarui
core +2 more sources
Remote Sensing, 2021 This paper presents a composite kernel method (MWASCK) based on multiscale weighted adjacent superpixels (ASs) to classify hyperspectral image (HSI). The MWASCK adequately exploits spatial-spectral features of weighted adjacent superpixels to guarantee ...
Yaokang Zhang, Yunjie Chen
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingAccurate superpixel segmentation of ocean remote sensing data plays a crucial role in the success of monitoring the changes on the ocean surface. Recently, so many superpixel segmentation methods have attracted much attention to ocean remote sensing ...
Qianna Cui, Haiwei Pan, Kejia Zhang
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Superpixel Boundary-Based Edge Description Algorithm for SAR Image Segmentation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Although various methods can effectively segment synthetic aperture radar (SAR) images, we found that the method combining superpixel and image edge information can get better results. To solve the problem that common SAR image segmentation methods often
Ronghua Shang +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingMost of the existing superpixel segmentation-based synthetic aperture radar (SAR) target detection algorithms cannot keep the independence of small targets under complex background, especially when the size of the targets varies greatly.
Shichao Chen +5 more
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