Results 11 to 20 of about 2,018,951 (327)
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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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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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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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.
Kei Ishimaru +11 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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Eigenregions for image classification [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004 For certain databases and classification tasks, analyzing images based region features instead of image features results in more accurate classifications. We introduce eigenregions, which are geometrical features that encompass area, location, and shape properties of an image region, even if the region is spatially incoherent.
Clément, Fredembach +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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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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Coal-gangue image classification method
Gong-kuang zidonghua, 2020 For problems that traditional coal-gangue separation methods such as manual separation method, mechanical wet-separation method, γ-ray separation method and so on could not give consideration to high efficiency, safety and easy operation, a coal-gangue ...
RAO Zhongyu, WU Jingtao, LI Ming
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RESEARCH ON REMOTE SENSING IMAGE CLASSIFICATION BASED ON FEATURE LEVEL FUSION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Remote sensing image classification, as an important direction of remote sensing image processing and application, has been widely studied.
L. Yuan, G. Zhu
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