Cohesion Intensive Deep Hashing for Remote Sensing Image Retrieval

Recently, the demand for remote sensing image retrieval is growing and attracting the interest of many researchers because of the increasing number of remote sensing images. Hashing, as a method of retrieving images, has been widely applied to remote sensing image retrieval. In order to improve hash...

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Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 12; H. 1; S. 101
Hauptverfasser:	Han, Lirong, Li, Peng, Bai, Xiao, Grecos, Christos, Zhang, Xiaoyu, Ren, Peng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.01.2020
Schlagworte:	Approximation Binary codes Codes Cohesion cohesion intensive data collection Datasets deep hashing Deep learning gradualness optimization Image management Image retrieval Neural networks Optimization Performance enhancement Remote sensing remote sensing image retrieval residual net spatial data system optimization
ISSN:	2072-4292, 2072-4292
Online-Zugang:	Volltext
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