Scholar

meiqi hu(胡美琪)

Google Scholar ID: jxyAHdkAAAAJ

Sun Yat-Sen University

change detectiondeep learninghyperspectral image

Citations & Impact

All-time

Citations

740

H-index

i10-index

Publications

Co-authors

list available

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Publications

20 items

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Resume (English only)

Academic Achievements

Published several research works, including Hyperspectral Anomaly Change Detection Based on Auto-encoder (ACDA), Binary Change Guided Hyperspectral Multiclass Change Detection (BCG-Net), and Self-Supervised Hyperspectral SpatialSpectral Feature Understanding Network for Hyperspectral Change Detection (HyperNet).

Research Experience

Involved in multiple projects related to hyperspectral image change detection, including ACDA, BCG-Net, HyperNet, etc.

Education

Background

Focus on change detection of remote sensing images; deep learning; hyperspectral images; anomalous change detection; binary and multi-class change detection.

Co-authors

5 total