139 citations · 725 across the 24 of their papers we have counts for
9 papers · 1 filter
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…
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…
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 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…