Robust Superpixel Segmentation for Hyperspectral-Image Restoration [PDF]
Entropy, 2023 Hyperspectral-image (HSI) restoration plays an essential role in remote sensing image processing. Recently, superpixel segmentation-based the low-rank regularized methods for HSI restoration have shown outstanding performance.
Ya-Ru Fan
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Color detection of printing based on improved superpixel segmentation algorithm [PDF]
Scientific ReportsWe propose an improved superpixel segmentation algorithm based on visual saliency and color entropy for online color detection in printed products. This method addresses the issues of low accuracy and slow speed in detecting color deviations in print ...
Hongwu Zhan +4 more
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Superpixel Segmentation Based on Anisotropic Edge Strength [PDF]
Journal of Imaging, 2019 Superpixel segmentation can benefit from the use of an appropriate method to measure edge strength. In this paper, we present such a method based on the first derivative of anisotropic Gaussian kernels.
Gang Wang, Bernard De Baets
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Multiscale Superpixel Segmentation With Deep Features for Change Detection
IEEE Access, 2019 In this paper, a novel change detection technique is proposed based on multiscale superpixel segmentation and stacked denoising autoencoders (SDAE). This approach is designed to achieve superpixel-based change detection, in which the basic analysis unit ...
Yu Lei +4 more
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Multiscale superpixel depth feature extraction for hyperspectral image classification [PDF]
Scientific ReportsRecently, superpixel segmentation has been widely employed in hyperspectral image (HSI) classification of remote sensing. However, the structures of land-covers in HSI commonly vary greatly, which makes it difficult to fully fit the boundaries of land ...
Qi Yan +3 more
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A Two-Stage Gradient Ascent-Based Superpixel Framework for Adaptive Segmentation
Applied Sciences, 2019 Superpixel segmentation usually over-segments an image into fragments to extract regional features, thus linking up advanced computer vision tasks. In this work, a novel coarse-to-fine gradient ascent framework is proposed for superpixel-based color ...
Wangpeng He +4 more
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Superpixel Segmentation Based Synthetic Classifications with Clear Boundary Information for a Legged Robot [PDF]
Sensors, 2018 Yaguang Zhu, Bo Jin, Zhu Yaguang
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Adaptive Superpixel Segmentation of Marine SAR Images by Aggregating Fisher Vectors
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Superpixel segmentation is an important technique for image analysis. In this article, we develop a new superpixel segmentation approach and investigate its application on ship target detection in marine synthetic aperture radar (SAR) images.
Xueqian Wang +3 more
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POSE-FCN SUPERPIXEL SEGMENTATION FOR BUILDING FACADES BASED ON 2D TEXTURE AND 3D LOCAL POSE-VARIED SEMANTIC FEATURES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 The extraction of building facades based on image sequences has a great contribution to the construction of digital realistic cities. The superpixel segmentation algorithm is a pre-processing tool for segmentation because of its advantages of fast speed,
R. Zhang +5 more
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Hybrid superpixel segmentation [PDF]
2015 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2015 Superpixel over-segment image into meaningful clusters so that pixels in each cluster belong to one object. Many state-of-art superpixel algorithms have to make trade-offs between different concerns. As a result, algorithms that can produce good result in some situations fail in another.
Yuan Liu +3 more
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