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Bayesian Gravitation-Based Classification for ...
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由 A Zhang 著作2022被引用 7 次 — This article proposes a Bayesian gravitation-based classification (BGC) to integrate the SS information of local neighbors and training samples.
Bayesian gravitation based classification for hyperspectral ...
OpenAIR@RGU
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由 A Zhang 著作2022被引用 7 次 — This paper proposes a Bayesian Gravitation based Classification (BGC) to integrate the spectral and spatial information of local neighbors and training samples.
14 頁
(PDF) Bayesian Gravitation-Based Classification for ...
ResearchGate
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ResearchGate
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This paper proposes a Bayesian Gravitation based Classification (BGC) to integrate the spectral and spatial information of local neighbors and training samples.
[PDF] Bayesian Gravitation-Based Classification for ...
Semantic Scholar
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Integration of spectral and spatial (SS) information is extremely important for the classification of high-resolution hyperspectral images (HSIs).
Bayesian Gravitation-Based Classification for ...
IEEE Xplore
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IEEE Xplore
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由 A Zhang 著作2022被引用 7 次 — Abstract—Integration of spectral and spatial (SS) information is extremely important for the classification of high-resolution hyperspectral images (HSIs).
14 頁
Gravitation Based Classification Method For Hyperspectral ...
ResearchGate
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ResearchGate
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In this article, to fully evaluate the performance of the proposed BGC method, two classical HSI classification algorithms, SVM and JSRC [14], and two improved ...
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Select Publications by Associate Professor Xiuping Jia
UNSW Research
https://research.unsw.edu.au › people
UNSW Research
https://research.unsw.edu.au › people
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'Learning Disentangled Priors for Hyperspectral Anomaly Detection: A Coupling Model-Driven and Data-Driven Paradigm', IEEE Transactions on Neural Networks and ...
GSA-UBS: A Novel Medical Hyperspectral Band Selection ...
ACM Digital Library
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ACM Digital Library
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由 C Zhang 著作2023 — An unsupervised band selection algorithm based on Gravitational Search Algorithm, called GSA-UBS, is proposed in this paper to search for the best subset of ...
Hyperspectral Image Classification: Potentials, Challenges, ...
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
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由 D Datta 著作2022被引用 77 次 — Bayesian classification of hyperspectral imagery based on probabilistic sparse representation and Markov random field. IEEE Geoscience and Remote Sensing ...
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