Object Detection in Hyperspectral Image via Unified Spectral–Spatial Feature Aggregation

Author:

He Xiao1ORCID,Tang Chang1ORCID,Liu Xinwang2ORCID,Zhang Wei3ORCID,Sun Kun1ORCID,Xu Jiangfeng4

Affiliation:

1. School of Computer, China University of Geosciences, Wuhan, China

2. School of Computer, National University of Defense Technology, Changsha, China

3. Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputing Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

4. Hexagon AB, Qingdao, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

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1. Multimodal summarization with modality features alignment and features filtering;Neurocomputing;2024-10

2. Global Context Relation-Guided Feature Aggregation Network for Salient Object Detection in Optical Remote Sensing Images;Remote Sensing;2024-08-14

3. Improving the Application of YOLOv8 in Image Object Detection;2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE);2024-05-10

4. Exploring an application-oriented land-based hyperspectral target detection framework based on 3D–2D CNN and transfer learning;EURASIP Journal on Advances in Signal Processing;2024-03-14

5. Deep learning-based spectral reconstruction in camouflaged target detection;International Journal of Applied Earth Observation and Geoinformation;2024-02

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