TIR-Net: Task Integration Based on Rotated Convolution Kernel for Oriented Object Detection in Aerial Images-Reference-Cited by-同舟云学术

TIR-Net: Task Integration Based on Rotated Convolution Kernel for Oriented Object Detection in Aerial Images

Published:2024 Issue: Volume:62 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Li Hao¹^ORCID,Pan Rong¹^ORCID,Liu Gang²^ORCID,Dang Min¹^ORCID,Xu Qijie¹^ORCID,Wang Xu¹^ORCID,Wan Bo¹^ORCID

Affiliation:

1. Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, School of Computer Science and Technology, Xidian University, Xi’an, China

2. School of Computer Science and Technology, Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, Xidian University, Xi’an, China

Funder

Key Research and Development Program of Shaanxi Province, China

Natural Science Basic Research Program of Shaanxi, China

Innovation Capability Support Program of Shaanxi, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10553416.pdf?arnumber=10553416

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3. Mixing Self-Attention and Convolution: A Unified Framework for Multisource Remote Sensing Data Classification

4. Multiscale Spectral–Spatial Attention Residual Fusion Network for Multisource Remote Sensing Data Classification

5. Monitoring Spatiotemporal Vegetation Response to Drought Using Remote Sensing Data