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Hello 👏

I am an associate professor in Ocean University of China. My research interests include remote sensing image processing (e.g., change detection, classification), visual computing (e.g., large-scale search, image understanding).

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Feng Gao's Projects

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Convolution and Attention Mixer for Synthetic Aperture Radar Image Change Detection (IEEE GRSL 2023)

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**海洋大学视觉实验室前沿理论小组 pytorch 学习

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Code for the paper "Adaptive Dropblock Enhanced GenerativeAdversarial Networks for Hyperspectral Image Classification", IEEE TGRS 2021

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[GRSL2024] Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising

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Synthetic Aperture Radar Image Change Detection via Layer Attention-Based Noise-Tolerant Network (IEEE GRSL 2022)

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Multi-scale Adaptive Fusion Network for Hyperspectral Image Denoising, IEEE JSTARS 2023

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Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification, IEEE TGRS 2023

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Code for "Remote sensing image translation via style-based recalibration module and improved style discriminator", IEEE GRSL 2022

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Source code for our GRSL19 paper "Transferred deep learning for sea ice change detection from synthetic aperture radar images"

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Code is for our paper "Change Detection from Synthetic Aperture Radar Images Based on Channel Weighting-Based Deep Cascade Network," IEEE JSTARS 2019

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Change Detection in Synthetic Aperture Radar Images Using a Dual Domain Network, IEEE GRSL 2022

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Codes for "Synthetic Aperture Radar Image Change Detection Based on Global Context-Aware Dynamic Network" submitted to Remote Sensing Letters

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Code for "Change Detection from Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network", IEEE JSTARS 2022

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Code for the paper "Change Detection in SAR Images Based on Multiscale Capsule Network" IEEE GRSL 2021

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Code for "Synthetic Aperture Radar Image Change Detection via Siamese Adaptive Fusion Network," IEEE JSTARS 2021

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Matlab code for "Sea ice change detection in SAR images based on convolutional-wavelet neural networks," IEEE GRSL 2019

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The matlab code for "Synthetic aperture radar image change detection based on frequency domain analysis and random multigraphs" JARS 2018

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The matlab code for "Change Detection from Synthetic Aperture Radar Images Based on Neighborhood-Based Ratio and Extreme Learning Machine", JARS 2016

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SS-MAE: Spatial-Spectral Masked Auto-Encoder for Mulit-Source Remote Sensing Image Classification (IEEE TGRS 2023)

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基于小波变换平行注意力的多源遥感图像分类,北京航空航天大学学报,2023

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