Results 11 to 20 of about 1,119,413 (315)
Global flood extent segmentation in optical satellite images
Scientific Reports, 2023 Floods are among the most destructive extreme events that exist, being the main cause of people affected by natural disasters. In the near future, estimated flood intensity and frequency are projected to increase.
Enrique Portalés-Julià +3 more
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Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V Images for Cloud Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The number of Earth observation satellites carrying optical sensors with similar characteristics is constantly growing. Despite their similarities and the potential synergies among them, derived satellite products are often developed for each sensor ...
Gonzalo Mateo-Garcia +3 more
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Introduction: The Processes of Imaging / The Imaging of Processes [PDF]
Catalyst: Feminism, Theory, Technoscience, 2018 Introduction to Special Section: The Processes of Imaging / The Imaging of ...
Hausken, Liv +2 more
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Bone Age Assessment Based on Rank-Monotonicity Enhanced Ranking CNN
IEEE Access, 2019 Skeletal bone age assessment based on hand x-ray is widely used in many fields. There is an urgent need for automated method to alleviate manual labor and address the problem of intra- and inter-observer variability.
Bo Liu +4 more
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Reconstructed Saliency for Infrared Pedestrian Images
IEEE Access, 2019 Accurately and completely detecting infrared pedestrian is a challenging problem in an intelligent transportation system due to the low SNR and the inhomogeneous luminance distribution in the infrared images, especially for the complex background ...
Lu Li +3 more
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scikit-image: image processing in Python [PDF]
PeerJ, 2014 scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications. It is released under the liberal "Modified BSD" open source license, provides a well-documented API in the Python programming language, and is developed by an active, international team of collaborators. In this
van der Walt, Stefan +8 more
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IMAGING: In-Memory AlGorithms for Image processiNG [PDF]
IEEE Transactions on Circuits and Systems I: Regular Papers, 2018 Data-intensive applications such as image processing suffer from massive data movement between memory and processing units. The severe limitations on system performance and energy efficiency imposed by this data movement are further exacerbated with any increase in the distance the data must travel. This data transfer and its associated obstacles could
Ameer Haj Ali +4 more
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Image segmentation based on adaptive K-means algorithm
EURASIP Journal on Image and Video Processing, 2018 Image segmentation is an important preprocessing operation in image recognition and computer vision. This paper proposes an adaptive K-means image segmentation method, which generates accurate segmentation results with simple operation and avoids the ...
Xin Zheng +4 more
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No-reference image and video quality assessment: a classification and review of recent approaches [PDF]
, 2014 The field of perceptual quality assessment has gone through a wide range of developments and it is still growing. In particular, the area of no-reference (NR) image and video quality assessment has progressed rapidly during the last decade. In this
Lövström, Benny, +11 more
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mangonetwork/raw-image-processing: v1.0.0
, 2023 <p>This is the first full release of raw-image-processing, the code for processing raw image data from the <a href="https://www.mangonetwork.org/mango/v1/">MANGO</a> all-sky imagers.
Leslie Lamarche +3 more
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