A Cross-Scale Feature Aggregation Network Based on Channel–Spatial Attention for Human and Animal Identification of Life Detection Radar-Reference-Cited by-同舟云学术

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A Cross-Scale Feature Aggregation Network Based on Channel–Spatial Attention for Human and Animal Identification of Life Detection Radar

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Bao Min¹^ORCID,Zou Fu¹^ORCID,Xing Mengdao²^ORCID,Jia Boyang¹

Affiliation:

1. School of Electronic Engineering, Xidian University, Xi’an, China

2. National Laboratory of Radar Signal Processing, Xidian University, Xi’an, China

Funder

National Key Research and Development Program of China

Science Foundation for Distinguished Young Scholars of Shaanxi Province

Shaanxi Innovative Talents Promotion Plan-Science and Technology Innovation Team

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10052709.pdf?arnumber=10052709

Reference20 articles.

1. CBAM: Convolutional Block Attention Module

2. Toward More Robust and Real-Time Unmanned Aerial Vehicle Detection and Tracking via Cross-Scale Feature Aggregation Based on the Center Keypoint

3. Synchrosqueezing Transform-Based Frequency Shifting Detection for Earthquake-Damaged Structures

4. A Synchrosqueezing Transform based Instantaneous Frequency Estimator

5. ResNet on tiny ImageNet;sun,2016

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