Low Dimensional Discriminative Representation of Fully Connected Layer Features Using Extended LargeVis Method for High-Resolution Remote Sensing Image Retrieval

Recently, there have been rapid advances in high-resolution remote sensing image retrieval, which plays an important role in remote sensing data management and utilization. For content-based remote sensing image retrieval, low-dimensional, representative and discriminative features are essential to...

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Detalles Bibliográficos
Autores principales: Zhuo, Zheng, Zhou, Zhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506632/
https://www.ncbi.nlm.nih.gov/pubmed/32825587
http://dx.doi.org/10.3390/s20174718

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506632/
https://www.ncbi.nlm.nih.gov/pubmed/32825587
http://dx.doi.org/10.3390/s20174718

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