Results 31 to 40 of about 15,689 (243)
A Superpixel-by-Superpixel Clustering Framework for Hyperspectral Change Detection
Remote Sensing, 2022 Hyperspectral image change detection (HSI-CD) is an interesting task in the Earth’s remote sensing community. However, current HSI-CD methods are feeble at detecting subtle changes from bitemporal HSIs, because the decision boundary is partially stretched by strong changes so that subtle changes are ignored.
Qiuxia Li +12 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
doaj +1 more source
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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Video Segmentation with Superpixels [PDF]
, 2013 Due to its importance, video segmentation has regained interest recently. However, there is no common agreement about the necessary ingredients for best performance. This work contributes a thorough analysis of various within- and between-frame affinities suitable for video segmentation.
Galasso F, Cipolla R, Schiele B
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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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Remote Sensing, 2019 To improve the performance of the sparse representation classification (SRC), we propose a superpixel-based feature specific sparse representation framework (SPFS-SRC) for spectral-spatial classification of hyperspectral images (HSI) at superpixel level.
He Sun +5 more
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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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Superpixel-based Semantic Segmentation Trained by Statistical Process Control
, 2017 Semantic segmentation, like other fields of computer vision, has seen a remarkable performance advance by the use of deep convolution neural networks.
Jeong, Jisoo +3 more
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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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Saliency-guided Adaptive Seeding for Supervoxel Segmentation
, 2017 We propose a new saliency-guided method for generating supervoxels in 3D space. Rather than using an evenly distributed spatial seeding procedure, our method uses visual saliency to guide the process of supervoxel generation.
Frintrop, Simone +3 more
core +1 more source