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    • Gated cross-modal aggregation network for multi-source remote sensing data classification

    • In the field of remote sensing applications, experts have proposed a multi-source remote sensing image classification method based on gated attention aggregation network, which effectively integrates hyperspectral images with LiDAR/SAR data and significantly improves classification performance.
    • Vol. 30, Issue 3, Pages: 883-894(2025)   

      Received:27 June 2024

      Revised:2024-09-04

      Published:16 March 2025

    • DOI: 10.11834/jig.240359     

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  • Jin Xuepeng, Gao Feng, Shi Xiaochen, Dong Junyu. 2025. Gated cross-modal aggregation network for multi-source remote sensing data classification. Journal of Image and Graphics, 30(03):0883-0894 DOI: 10.11834/jig.240359.
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相关作者

Li Xiangtan 中国海洋大学计算机科学与技术学院
Sun Yue 中国海洋大学计算机科学与技术学院
Yu Guanghao 厦门理工学院计算机与信息工程学院;福建省模式识别与图像理解重点实验室
Chen Runlin 厦门理工学院计算机与信息工程学院;福建省模式识别与图像理解重点实验室
Xu Jinyan 自然资源部海岛研究中心,平潭
Xu Qianxiang 深圳市智慧城市科技发展集团有限公司
Wang Dahan 厦门理工学院计算机与信息工程学院;福建省模式识别与图像理解重点实验室
Chen Feng 厦门理工学院计算机与信息工程学院;数字福建自然灾害监测大数据研究所

相关机构

Fujian Key Laboratory of Pattern Recognition and Image Understanding
Shenzhen Smart Cities Technology Development Group Co., Ltd.
Island Research Center, Ministry of Natural Resources, Pingtan
College of Computer and Information Engineering, Xiamen University of Technology
Big Data Institute of Digital Natural Disaster Monitoring in Fujian
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