Adversarial Feature Equilibrium Network for Multimodal Change Detection in Heterogeneous Remote Sensing Images

Yan Pu; Maoguo Gong; Tongfei Liu; Mingyang Zhang; Tianqi Gao; Fenlong Jiang; Xiaobo Hu

doi:10.1109/tgrs.2024.3480091

ScienceGate Book Chapters

JOURNAL ARTICLE

Adversarial Feature Equilibrium Network for Multimodal Change Detection in Heterogeneous Remote Sensing Images

Yan Pu Maoguo Gong Tongfei Liu Mingyang Zhang Tianqi Gao Fenlong Jiang Xiaobo Hu

Year: 2024 Journal: IEEE Transactions on Geoscience and Remote Sensing Vol: 62 Pages: 1-17 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tgrs.2024.3480091

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Change detection Feature (linguistics) Remote sensing Artificial intelligence Adversarial system Pattern recognition (psychology) Geology

Metrics

Cited By

7.99

FWCI (Field Weighted Citation Impact)

Refs

0.96

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Remote Sensing and Land Use

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Adversarial Feature Equilibrium Network for Multimodal Change Detection in Heterogeneous Remote Sensing Images

Metrics

Citation History

Topics

Related Documents

FRCD: Feature Refine Change Detection Network for Remote Sensing Images

Multi-Head Graph Attention Adversarial Autoencoder Network for Unsupervised Change Detection Using Heterogeneous Remote Sensing Images

Multidomain Constrained Translation Network for Change Detection in Heterogeneous Remote Sensing Images

Bipartite adversarial autoencoder network for unsupervised detection of changes in heterogeneous remote sensing images

Heterogeneous Feature Collaboration Network for Salient Object Detection in Optical Remote Sensing Images