Results 81 to 90 of about 1,822 (166)
Superpixel-Based Classification Using K Distribution and Spatial Context for Polarimetric SAR Images
Remote Sensing, 2016 Classification techniques play an important role in the analysis of polarimetric synthetic aperture radar (PolSAR) images. PolSAR image classification is widely used in the fields of information extraction and scene interpretation or is performed as a ...
Qiao Xu +3 more
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Remote Sensing, 2019 The high interior heterogeneity of land surface covers in high-resolution image of coastal cities makes classification challenging. To meet this challenge, a Multi-Scale Superpixels-based Classification method using Optimized Spectral−Spatial ...
Aizhu Zhang +8 more
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eLife, 2019 Correct cell/cell interactions and motion dynamics are fundamental in tissue homeostasis, and defects in these cellular processes cause diseases. Therefore, there is strong interest in identifying factors, including drug candidates that affect cell/cell ...
Felix Y Zhou +5 more
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PolSAR Image Classification via Learned Superpixels and QCNN Integrating Color Features
Remote Sensing, 2019 Polarimetric synthetic aperture radar (PolSAR) image classification plays an important role in various PolSAR image application. And many pixel-wise, region-based classification methods have been proposed for PolSAR images.
Xinzheng Zhang +4 more
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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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Adaptive Improved GCNs and SAM Superpixels for Hyperspectral Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral image (HSI) classification with limited training samples is a challenging problem. According to recent results, effectively exploiting the spatial–spectral information of the HSI is crucial for HSI classification, even when the ...
Lei Wang, Wen-Sheng Zhu, Shi-Wen Deng
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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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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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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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