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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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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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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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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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Image Classification of Human Carcinoma Cells Using Complex Wavelet-Based Covariance Descriptors [PDF]
, 2012 Cancer cell lines are widely used for research purposes in laboratories all over the world. Computer-assisted classification of cancer cells can alleviate the burden of manual labeling and help cancer research.
Suhre, Alexander +24 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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