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宦海
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宦海,1978年9月出生,教授,现任人工智能学院院长助理,日本国立新潟大学博士毕业,主要研究领域为遥感图像语义分割、图像超分辨率重建等人工智能相关方向。
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[1] FDAENet: frequency domain attention encoder-decoder network for road extraction of remote sensing ….JOURNAL OF APPLIED REMOTE SENSING.2024,18(2):16p
[2] Reconstructed semantic relative distance and?global and?local attention fusion network for?aspect?….PATTERN ANALYSIS AND APPLICATIONS.2024,27(87):15p
[3] Residual adaptive sparse hybrid attention transformer for image super resolution.ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE.2024,136(B):12p
[4] Remote sensing image reconstruction using an asymmetric multi‑scale super‑resolution network.The Journal of Supercomputing.2022,78:18524–18550
[5] Indoor Location Fingerprinting Algorithm Based on Path Loss Parameter Estimation and Bayesian Infe….IEEE SENSORS JOURNAL.2023,23(3):2507-2521
[6] Strip Attention Networks for Road Extraction.remote sensing.2022,14(18):4516-4534
[7] MAENet: Multiple Attention Encoder–Decoder Network for Farmland Segmentation of Remote Sensing Im….IEEE Geoscience and Remote Sensing Letters,19:1-5
[8] End-to-End Super-Resolution for Remote-Sensing Images Using an Improved Multi-Scale Residual Netwo….Remote Sensing,13(666)
[9] 基于BR-YOLOv3目标检测算法改进.计算机工程
[10] 严嘉宇.Feature-Enhanced Nonequilibrium Bidirectional Long Short-Term Memory Model for Chinese Text Classi….IEEE ACCESS.2020,8
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