Results 121 to 130 of about 16,201 (241)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSparse unmixing, which introduces a large spectral library to transform the problem of mixed-pixel decomposition into the search for an optimal subset of endmembers that best represents the spectral characteristics of an image, has become a prominent ...
Fan Li +8 more
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Double-Branch Multilevel Skip Sparse Graph Attention Network for Hyperspectral Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingGraph neural networks (GNNs) offer a potent framework for learning and representing data with graph structures. In the context of hyperspectral images (HSIs) classification tasks, GNNs have been successfully employed. Among the diverse variations of GNNs,
Qingyan Wang +4 more
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Indoor Semantic Segmentation using depth information
, 2013 This work addresses multi-class segmentation of indoor scenes with RGB-D inputs. While this area of research has gained much attention recently, most works still rely on hand-crafted features.
Couprie, Camille +3 more
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Over the years, the use of superpixel segmentation has become very popular in various applications, serving as a preprocessing step to reduce data size by adapting to the content of the image, regardless of its semantic content. While the superpixel segmentation of standard planar images, captured with a 90° field of view, has been extensively studied,
Giraud, Rémi, Clément, Michaël
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GeomaticsRice field mapping is essential for effective agricultural and water resource management due to high land pressure. This study aims to map paddy rice by combining segmentation techniques and phenological metrics derived from optical time series.
Fama Mbengue +5 more
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Superpixels and Polygons Using Simple Non-iterative Clustering
Computer Vision and Pattern Recognition, 2017 R. Achanta, S. Süsstrunk
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingPolarimetric synthetic aperture radar (PolSAR) has attracted more attentions because of its excellent observation ability, and PolSAR image classification has become one of the significant tasks in remote sensing interpretation.
Ru Wang, Yinju Nie, Jie Geng
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Sizing mudsnails: Applying superpixels to scale growth detection under ocean warming
Methods in Ecology and EvolutionThe expansion of scientific image data holds great promise to quantify individuals, size distributions and traits. Computer vision tools are especially powerful to automate data mining of images and thus have been applied widely across studies in aquatic
Liam MacNeil +5 more
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Unsupervised instance segmentation with superpixels
Pattern RecognitionInstance segmentation is essential for numerous computer vision applications, including robotics, human-computer interaction, and autonomous driving. Currently, popular models bring impressive performance in instance segmentation by training with a large number of human annotations, which are costly to collect.
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Scale-Adaptive Superpixels [PDF]
Color and Imaging Conference, 2018 Radhakrishna Achanta +3 more
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