Global Optimal Structured Embedding Learning for Remote Sensing Image Retrieval

A rich line of works focus on designing elegant loss functions under the deep metric learning (DML) paradigm to learn a discriminative embedding space for remote sensing image retrieval (RSIR). Essentially, such embedding space could efficiently distinguish deep feature descriptors. So far, most exi...

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Detalles Bibliográficos
Autores principales: Liu, Pingping, Gou, Guixia, Shan, Xue, Tao, Dan, Zhou, Qiuzhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983082/
https://www.ncbi.nlm.nih.gov/pubmed/31948002
http://dx.doi.org/10.3390/s20010291

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983082/
https://www.ncbi.nlm.nih.gov/pubmed/31948002
http://dx.doi.org/10.3390/s20010291

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