Results 21 to 30 of about 178,877 (269)
Unsupervised Change Detection Using Ground-based Radar Image
Leida xuebao, 2020 Ground-based radar is a microwave remote sensing imaging technology that has been gradually developed throughout the past 20 years so that it has become mature. At present, it has been widely used in monitoring geological disasters such as landslides and
HUANG Pingping +5 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Supervised pansharpening methods require the ground truth, which is generally unavailable. Therefore, the popularity of unsupervised pansharpening methods has increased.
Wenxiu Diao +3 more
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CoRR, 2018 Contrast and quality of ultrasound images are adversely affected by the excessive presence of speckle. However, being an inherent imaging property, speckle helps in tissue characterization and tracking. Thus, despeckling of the ultrasound images requires the reduction of speckle extent without any oversmoothing.
Deepak Mishra 0003 +3 more
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Frontiers in Microbiology, 2021 The advent of next-generation sequencing technologies allowed relative quantification of microbiome communities and their spatial and temporal variation.
Elies Ramon +6 more
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CoRR, 2019 26 pages, added comparison with standard quantification ...
Albert Ziegler 0001, Pawel Czyz
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Applied Sciences, 2021 In the digital marketplaces, businesses can micro-monitor sales worldwide and in real-time. Due to the vast amounts of data, there is a pressing need for tools that automatically highlight changing trends and anomalous (outlier) behavior that is ...
Jonas Herskind Sejr +5 more
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2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023 Traditional supervised denoisers are trained using pairs of noisy input and clean target images. They learn to predict a central tendency of the posterior distribution over possible clean images. When, e.g., trained with the popular quadratic loss function, the network's output will correspond to the minimum mean square error (MMSE) estimate ...
Benjamin Salmon, Alexander Krull
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Journal of Intelligent Systems, 2018 Data mining techniques support numerous applications of intelligent transportation systems (ITSs). This paper critically reviews various data mining techniques for achieving trip planning in ITSs.
Anand Sesham +3 more
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Unsupervised discriminative hashing [PDF]
Journal of Visual Communication and Image Representation, 2016 An unsupervised discriminative hashing algorithm is proposed.We use an addition term as regularization to learn a model for out-of-sample data extrapolation.The unsupervised discriminative hashing scheme outperforms the state of the art methods. Hashing is one of the popular solutions for approximate nearest neighbor search because of its low storage ...
Kun Zhan +3 more
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Pansharpening via Unsupervised Convolutional Neural Networks
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Pansharpening is normally utilized to take full advantage of all the available spectral and spatial information that are derived from a low-spatial-resolution multispectral (MS) image and its associated high-spatial-resolution (HR) panchromatic (PAN ...
Shuyue Luo +3 more
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