Attention and feature fusion for aircraft target detection in optical remote sensing images

Xu-ting LAN; Zhonghua Guo; Chang-hao LI

doi:10.37188/cjlcd.2021-0088

ScienceGate Book Chapters

JOURNAL ARTICLE

Attention and feature fusion for aircraft target detection in optical remote sensing images

Xu-ting LAN Zhonghua Guo Chang-hao LI

Year: 2021 Journal: Chinese Journal of Liquid Crystals and Displays Vol: 36 (11)Pages: 1506-1515 Publisher: Science Press

DOI: 10.37188/cjlcd.2021-0088

Get Full-Text PDF Get Analytical Report

Keywords:

Feature (linguistics) Computer vision Remote sensing Computer science Artificial intelligence Fusion Image fusion Sensor fusion Pattern recognition (psychology) Image (mathematics) Geology

Metrics

Cited By

0.92

FWCI (Field Weighted Citation Impact)

Refs

0.84

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Infrared Target Detection Methodologies

Physical Sciences → Engineering → Aerospace Engineering

Advanced Measurement and Detection Methods

Physical Sciences → Engineering → Electrical and Electronic Engineering

Optical Systems and Laser Technology

Physical Sciences → Engineering → Electrical and Electronic Engineering

Attention and feature fusion for aircraft target detection in optical remote sensing images

Metrics

Citation History

Topics

Related Documents

Adaptive Feature Fusion With Attention-Guided Small Target Detection in Remote Sensing Images

Daff-Net: Dual Attention Feature Fusion Network for Aircraft Detection in Remote Sensing Images

Aircraft target change detection for high-resolution remote sensing images using multi-feature fusion

Multi-scale feature fusion optical remote sensing target detection method

Remote Sensing Image Target Detection Model Based on Attention and Feature Fusion