Results 11 to 20 of about 525,724 (267)
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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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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A Cross-dataset Image Classification Method Based on Information-keeping [PDF]
Jisuanji gongcheng, 2016 Cross-dataset image classification is a common problem in the real applications of image classification.Even though training data and testing data are related in the cross-domain classification,there are some differences between them.And this leads the ...
ZHU Guangtang,ZHOU Xiangdong
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Application of error level analysis in image spam classification using deep learning model.
PLoS ONE, 2023 Image spam is a type of spam that contains text information inserted in an image file. Traditional classification systems based on feature engineering require manual extraction of certain quantitative and qualitative image features for classification ...
Angom Buboo Singh +1 more
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Image Classification Algorithm with p-voltages Based on Mean Shift [PDF]
Jisuanji gongcheng, 2016 p-voltages algorithm is a semi-supervised classification algorithm,which is based on samples’ theoretical voltages in the electricity network system.It has some disadvantages in image classification,such as only two labeled samples (source node and sink ...
RUAN Yingying,WANG Xili,LIN Hongshuai
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Automatic modulation classification using techniques from image classification
IET Communications, 2022 Automatic Modulation Classification (AMC) is a rapidly evolving technology, which can be employed in software defined radio structures, especially in 5G and 6G technology.
Yilin Sun, Edward A Ball
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The Influence of Image Degradation on Hyperspectral Image Classification
Remote Sensing, 2022 Recent advances in hyperspectral remote sensing techniques, especially in the hyperspectral image classification techniques, have provided efficient support for recognizing and analyzing ground objects.
Congyu Li +3 more
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