Results 21 to 30 of about 1,984,141 (275)
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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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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Pyramidal RoR for image classification [PDF]
Cluster Computing, 2017 The Residual Networks of Residual Networks (RoR) exhibits excellent performance in the image classification task, but sharply increasing the number of feature map channels makes the characteristic information transmission incoherent, which losses a certain of information related to classification prediction, limiting the classification performance.
Ke Zhang 0005 +3 more
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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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Tensor-Based Algorithms for Image Classification [PDF]
, 2019 Interest in machine learning with tensor networks has been growing rapidly in recent years. We show that tensor-based methods developed for learning the governing equations of dynamical systems from data can, in the same way, be used for supervised ...
Gelß, Patrick, Klus, Stefan
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