139 citations · 725 across the 24 of their papers we have counts for
24 papers
Wavelet-based Bi-dimensional Aggregation Network for SAR Image Change Detection
Jiangwei Xie, Feng Gao, Xiaowei Zhou +1
Synthetic aperture radar (SAR) image change detection is critical in remote sensing image analysis. Recently, the attention mechanism has been widely used in change detection tasks…
SSLChange: A Self-supervised Change Detection Framework Based on Domain Adaptation
Yitao Zhao, Turgay Celik, Nanqing Liu +2
In conventional remote sensing change detection (RS CD) procedures, extensive manual labeling for bi-temporal images is first required to maintain the performance of subsequent ful…
Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising
Shuai Hu, Feng Gao, Xiaowei Zhou +2
Hyperspectral image (HSI) denoising is critical for the effective analysis and interpretation of hyperspectral data. However, simultaneously modeling global and local features is r…
Convolution and Attention Mixer for Synthetic Aperture Radar Image Change Detection
Haopeng Zhang, Zijing Lin, Feng Gao +3
Synthetic aperture radar (SAR) image change detection is a critical task and has received increasing attentions in the remote sensing community. However, existing SAR change detect…
SAWU-Net: Spatial Attention Weighted Unmixing Network for Hyperspectral Images
Lin Qi, Xuewen Qin, Feng Gao +2
Hyperspectral unmixing is a critical yet challenging task in hyperspectral image interpretation. Recently, great efforts have been made to solve the hyperspectral unmixing task via…
Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction
Yuxin Meng, Feng Gao, Eric Rigall +3
Traditionally, numerical models have been deployed in oceanography studies to simulate ocean dynamics by representing physical equations. However, many factors pertaining to ocean…
Multi-scale Adaptive Fusion Network for Hyperspectral Image Denoising
Haodong Pan, Feng Gao, Junyu Dong +1
Removing the noise and improving the visual quality of hyperspectral images (HSIs) is challenging in academia and industry. Great efforts have been made to leverage local, global o…
Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification
Meng Wang, Feng Gao, Junyu Dong +2
The joint hyperspectral image (HSI) and LiDAR data classification aims to interpret ground objects at more detailed and precise level. Although deep learning methods have shown rem…
Synthetic Aperture Radar Image Change Detection via Layer Attention-Based Noise-Tolerant Network
Desen Meng, Feng Gao, Junyu Dong +2
Recently, change detection methods for synthetic aperture radar (SAR) images based on convolutional neural networks (CNN) have gained increasing research attention. However, existi…
Change Detection from Synthetic Aperture Radar Images via Dual Path Denoising Network
Junjie Wang, Feng Gao, Junyu Dong +2
Benefited from the rapid and sustainable development of synthetic aperture radar (SAR) sensors, change detection from SAR images has received increasing attentions over the past fe…
SSCU-Net: Spatial-Spectral Collaborative Unmixing Network for Hyperspectral Images
Lin Qi, Feng Gao, Junyu Dong +2
Linear spectral unmixing is an essential technique in hyperspectral image processing and interpretation. In recent years, deep learning-based approaches have shown great promise in…
Change Detection from Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network
Junjie Wang, Feng Gao, Junyu Dong +2
Synthetic aperture radar (SAR) image change detection is a vital yet challenging task in the field of remote sensing image analysis. Most previous works adopt a self-supervised met…
Adaptive DropBlock Enhanced Generative Adversarial Networks for Hyperspectral Image Classification
Junjie Wang, Feng Gao, Junyu Dong +1
In recent years, hyperspectral image (HSI) classification based on generative adversarial networks (GAN) has achieved great progress. GAN-based classification methods can mitigate…
SAR Image Change Detection Based on Multiscale Capsule Network
Yunhao Gao, Feng Gao, Junyu Dong +1
Traditional synthetic aperture radar image change detection methods based on convolutional neural networks (CNNs) face the challenges of speckle noise and deformation sensitivity.…
Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction
Yuxin Meng, Eric Rigall, Xueen Chen +3
Sea subsurface temperature, an essential component of aquatic wildlife, underwater dynamics and heat transfer with the sea surface, is affected by global warming in climate change.…
Synthetic Aperture Radar Image Change Detection via Siamese Adaptive Fusion Network
Yunhao Gao, Feng Gao, Junyu Dong +2
Synthetic aperture radar (SAR) image change detection is a critical yet challenging task in the field of remote sensing image analysis. The task is non-trivial due to the following…
Learning the Precise Feature for Cluster Assignment
Yanhai Gan, Xinghui Dong, Huiyu Zhou +2
Clustering is one of the fundamental tasks in computer vision and pattern recognition. Recently, deep clustering methods (algorithms based on deep learning) have attracted wide att…
SAR Image Change Detection Based on Multiscale Capsule Network
Yunhao Gao, Feng Gao, Junyu Dong +1
Traditional change detection methods based on convolutional neural networks (CNNs) face the challenges of speckle noise and deformation sensitivity for synthetic aperture radar ima…
Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network
Xiaofan Qu, Feng Gao, Junyu Dong +2
Change detection from synthetic aperture radar (SAR) imagery is a critical yet challenging task. Existing methods mainly focus on feature extraction in spatial domain, and little a…
Hyperspectral Image Denoising Based On Multi-Stream Denoising Network
Yan Gao, Feng Gao, Junyu Dong
Hyperspectral images (HSIs) have been widely applied in many fields, such as military, agriculture, and environment monitoring. Nevertheless, HSIs commonly suffer from various type…
Disentangled Non-Local Network for Hyperspectral and LiDAR Data Classification
Wenxia Liu, Feng Gao, Junyu Dong
As the ground objects become increasingly complex, the classification results obtained by single source remote sensing data can hardly meet the application requirements. In order t…
Hyperspectral and LiDAR data classification based on linear self-attention
Min Feng, Feng Gao, Jian Fang +1
An efficient linear self-attention fusion model is proposed in this paper for the task of hyperspectral image (HSI) and LiDAR data joint classification. The proposed method is comp…
Change Detection from SAR Images Based on Deformable Residual Convolutional Neural Networks
Junjie Wang, Feng Gao, Junyu Dong
Convolutional neural networks (CNN) have made great progress for synthetic aperture radar (SAR) images change detection. However, sampling locations of traditional convolutional ke…
Remote Sensing Image Translation via Style-Based Recalibration Module and Improved Style Discriminator
Tiange Zhang, Feng Gao, Junyu Dong +1
Existing remote sensing change detection methods are heavily affected by seasonal variation. Since vegetation colors are different between winter and summer, such variations are in…