Deep Saliency Smoothing Hashing for Drone Image Retrieval

Deep hashing algorithms are widely exploited in retrieval tasks due to its low storage and retrieval efficiency. Most of which focus on global feature learning, whilst neglecting local fine-grained features and saliency information for drone images. In this paper, we tackle these dilemmas with a nov...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2023-01, Vol.61, p.1-1
Hauptverfasser:	Chen, Yaxiong, Huang, Jinghao, Mou, Lichao, Jin, Pu, Xiong, Shengwu, Zhu, Xiao Xiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Attention Codes Datasets Deep Hashing Distribution Drone Image Retrieval Drones Feature extraction Hash based algorithms Image enhancement Image retrieval Information retrieval Local Fine-grained Features Modules Objective function Remote sensing Salience Saliency Information Signal processing algorithms Smoothing Smoothing methods Storage Visual perception
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