Results 11 to 20 of about 494,555 (264)
HIGH RESOLUTION IMAGE CLASSIFICATION [PDF]
المجلة العراقية للعلوم الاحصائية, 2005 Classification is an important field with many applications. In particular, the classification of digital imagery has important applications in the mapping community.
Wasfi Taher Saalih
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Imaging Classification of Constipation
Journal of the Anus, Rectum and Colon, 2023 The diagnosis of patients with chronic constipation is very complicated. This study aimed to develop a simple imaging classification for the diagnosis of chronic constipation by abdominal computed tomography (CT).Sixty-two patients who underwent abdominal CT in our hospital between January and June 2022 were enrolled.
Ishimaru, Kei +11 more
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Confluence satellite image classification [PDF]
Acta Scientiarum Polonorum. Formatio Circumiectus, 2017 A confluence is defined as a meeting point where two or more rivers merge to become the source for a new river. This river merge adjusts its geometric parameters depending of the characteristics of its confluent rivers, particularly wide and intersection
Jorge Osvaldo Castillo-Pereyra +2 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Object-based image analysis (OBIA) is regarded as an effective technology for high-spatial resolution (HSR) image classification due to its clear and intuitive technical process. However, OBIA depends on the manual tuning of image classification features,
Jie Wang +4 more
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A method for improving recall rate of similar image retrieval by using edge enhancement technology
Dianxin kexue, 2021 Aiming at the problem of low registration caused by image rotation or background transformation in large-scale image classification processing, a convolutional neural network image classification method based on edge enhancement was proposed.This method ...
Jingcheng CAO, Jidong ZHANG, Guojie SHI
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Deep Learning-Based Plant-Image Classification Using a Small Training Dataset
Mathematics, 2022 Extensive research has been conducted on image augmentation, segmentation, detection, and classification based on plant images. Specifically, previous studies on plant image classification have used various plant datasets (fruits, vegetables, flowers ...
Ganbayar Batchuluun +2 more
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Trading via image classification [PDF]
Proceedings of the First ACM International Conference on AI in Finance, 2020 The art of systematic financial trading evolved with an array of approaches, ranging from simple strategies to complex algorithms all relying, primary, on aspects of time-series analysis. Recently, after visiting the trading floor of a leading financial institution, we noticed that traders always execute their trade orders while observing images of ...
Naftali Cohen +2 more
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ISPRS International Journal of Geo-Information, 2021 Generation of a thematic map is important for scientists and agriculture engineers in analyzing different crops in a given field. Remote sensing data are well-accepted for image classification on a vast area of crop investigation.
Shiuan Wan, Mei-Ling Yeh, Hong-Lin Ma
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Ferrograph image classification
CoRR, 2020 It has been challenging to identify ferrograph images with a small dataset and various scales of wear particle. A novel model is proposed in this study to cope with these challenging problems. For the problem of insufficient samples, we first proposed a data augmentation algorithm based on the permutation of image patches.
Peng Peng, Jiugen Wang
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POLSAR Image Classification via Clustering-WAE Classification Model
IEEE Access, 2018 Considering the clustering algorithms could explore the label information automatically, this paper proposes a new method in terms of polarimetric synthetic aperture radar (POLSAR) image classification, which named a clustering-wishart-auto-encoder (WAE)
Wen Xie, Ziwei Xie, Feng Zhao, Bo Ren
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