Remote Sensing Cross-Modal Retrieval by Deep Image-Voice Hashing
文献类型：期刊论文
| 作者 | Zhang, Yichao; Zheng, Xiangtao ; Lu, Xiaoqiang
|
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2022 |
| 卷号 | 15 |
| ISSN号 | 1939-1404;2151-1535 |
| 关键词 | Remote sensing Codes Feature extraction Image retrieval Semantics Task analysis Sensors Convolutional neural network (CNN) cross-modal retrieval deep hashing hash code |
| DOI | 10.1109/JSTARS.2022.3216333 |
| 产权排序 | 1 |
| 英文摘要 | Remote sensing image retrieval aims at searching remote sensing images of interest among immense volumes of remote sensing data, which is an enormous challenge. Direct use of voice for human-computer interaction is more convenient and intelligent. In this article, a deep image-voice hashing (DIVH) method is proposed for remote sensing image-voice retrieval. First, the whole framework is composed of the image and the voice feature learning subnetwork. Then, the hash code learning procedure will be leveraged in remote sensing image-voice retrieval to further improve the retrieval efficiency and reduce memory footprint. Hash code learning maps the deep features of images and voices into a common Hamming space. Finally, image-voice pairwise loss is proposed, which considers the similarity preservation and balance of hash codes. The similarity preserving and the balance controlling term of the loss function improve the similarity preservation from original data space to the Hamming space and the discrimination of binary code, respectively. This unified cross-modal feature and hash code learning framework significantly reduce the semantic gap between the two modal data. Experiments demonstrate that the proposed DIVH method can achieve a superior retrieval performance than other state-of-the-art remote sensing image-voice retrieval methods. |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:000883157900008 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/96242]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 推荐引用方式 GB/T 7714 | Zhang, Yichao,Zheng, Xiangtao,Lu, Xiaoqiang. Remote Sensing Cross-Modal Retrieval by Deep Image-Voice Hashing[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2022,15. |
| APA | Zhang, Yichao,Zheng, Xiangtao,&Lu, Xiaoqiang.(2022).Remote Sensing Cross-Modal Retrieval by Deep Image-Voice Hashing.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,15. |
| MLA | Zhang, Yichao,et al."Remote Sensing Cross-Modal Retrieval by Deep Image-Voice Hashing".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 15(2022). |
入库方式： OAI收割
来源：西安光学精密机械研究所
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