Scene Graph-Aware Hierarchical Fusion Network for Remote Sensing Image Retrieval With Text Feedback

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成果类型：

期刊论文

作者：

Wang, Fei;Zhu, Xianzhang;Liu, Xiaojian;Zhang, Yongjun*;Li, Yansheng

通讯作者：

Zhang, Yongjun;Li, YS

作者机构：

[Wang, Fei; Li, Yansheng; Zhang, Yongjun; Li, YS; Zhang, YJ] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430072, Hubei, Peoples R China.

[Wang, Fei] Changjiang Spatial Informat Technol Engn Co Ltd, Wuhan 430010, Peoples R China.

[Wang, Fei] Water Resources Informat Percept & Big Data Engn R, Wuhan 430010, Peoples R China.

[Zhu, Xianzhang] Hunan City Univ, Sch Municipal & Geomat Engn, Yiyang 413002, Hunan, Peoples R China.

[Liu, Xiaojian] MOT, Tianjin Res Inst Water Transport Engn, Tianjin 300456, Peoples R China.

通讯机构：

[Li, YS ; Zhang, YJ] W

Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430072, Hubei, Peoples R China.

语种：

英文

关键词：

Image retrieval;Feature extraction;Airplanes;Remote sensing;Visualization;Sports;Image color analysis;Image retrieval with text feedback;multimodal features;remote sensing (RS) image retrieval;scene graph

期刊：

IEEE Transactions on Geoscience and Remote Sensing

ISSN：

0196-2892

年：

2024

卷：

DOI：

10.1109/TGRS.2024.3404605

基金类别：

National Natural Science Foundation of China

机构署名：

本校为其他机构

院系归属：

市政与测绘工程学院

摘要：

In the realm of image retrieval with text feedback, existing studies have predominantly concentrated on the intrinsic attribute of target objects, neglecting extrinsic information essential for remote sensing (RS) images, such as spatial relationships. This research addresses this gap by incorporating RS image scene graphs as side information, given their capacity to encapsulate internal object attributes, external structural features between objects, and the relationships among images. To fully leverage the features from the reference RS image, scene graph, and modifier sentence, we propose a...

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Scene Graph-Aware Hierarchical Fusion Network for Remote Sensing Image Retrieval With Text Feedback

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