activity
20212024
most citedChange Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network

139 citations · 725 across the 24 of their papers we have counts for

collaborators
Showing 2021Show all

10 papers · 1 filter

cs.LG2021★ 4 cited

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.…

eess.IV2021★ 2 cited

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…

cs.CV2021★ 7 cited

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…

cs.CV2021★ 79 cited

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…

cs.CV2021★ 139 cited

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…

eess.IV2021

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…

eess.IV2021

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…

cs.CV2021★ 1 cited

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…

cs.CV2021

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…

cs.CV2021★ 19 cited

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…