Search Results for author: Qian Du

Found 33 papers, 17 papers with code

Convolution and Attention Mixer for Synthetic Aperture Radar Image Change Detection

1 code implementation21 Sep 2023 Haopeng Zhang, Zijing Lin, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li

In this letter, we explore Transformer-like architecture for SAR change detection to incorporate global attention.

Change Detection Inductive Bias

Multi-scale Adaptive Fusion Network for Hyperspectral Image Denoising

1 code implementation19 Apr 2023 Haodong Pan, Feng Gao, Junyu Dong, Qian Du

Two key components contribute to improving the hyperspectral image denoising: A progressively multiscale information aggregation network and a co-attention fusion module.

Hyperspectral Image Denoising Image Denoising

Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction

no code implementations19 Apr 2023 Yuxin Meng, Feng Gao, Eric Rigall, Ran Dong, Junyu Dong, Qian Du

To this end, we introduce a method for SST prediction that transfers physical knowledge from historical observations to numerical models.

Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification

1 code implementation9 Jan 2023 Meng Wang, Feng Gao, Junyu Dong, Heng-Chao Li, Qian Du

It is commonly nontrivial to build a robust self-supervised learning model for multisource data classification, due to the fact that the semantic similarities of neighborhood regions are not exploited in existing contrastive learning framework.

Classification Contrastive Learning +2

SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery

1 code implementation27 Sep 2022 Jiaqing Zhang, Jie Lei, Weiying Xie, Zhenman Fang, Yunsong Li, Qian Du

Furthermore, we design a simple and flexible SR branch to learn HR feature representations that can discriminate small objects from vast backgrounds with low-resolution (LR) input, thus further improving the detection accuracy.

Real-Time Object Detection Small Object Detection +1

Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review

no code implementations20 May 2022 Xin-Ru Feng, Heng-Chao Li, Rui Wang, Qian Du, Xiuping Jia, Antonio Plaza

Hyperspectral unmixing has been an important technique that estimates a set of endmembers and their corresponding abundances from a hyperspectral image (HSI).

Hyperspectral Unmixing

A Survey on Hyperspectral Image Restoration: From the View of Low-Rank Tensor Approximation

no code implementations18 May 2022 Na Liu, Wei Li, Yinjian Wang, Rao Tao, Qian Du, Jocelyn Chanussot

The ability of capturing fine spectral discriminative information enables hyperspectral images (HSIs) to observe, detect and identify objects with subtle spectral discrepancy.

Deblurring Denoising +2

Adaptive Cross-Attention-Driven Spatial-Spectral Graph Convolutional Network for Hyperspectral Image Classification

no code implementations12 Apr 2022 Jin-Yu Yang, Heng-Chao Li, Wen-Shuai Hu, Lei Pan, Qian Du

Specifically, Sa-GCN and Se-GCN are proposed to extract the spatial and spectral features by modeling correlations between spatial pixels and between spectral bands, respectively.

Graph Attention Hyperspectral Image Classification

A3CLNN: Spatial, Spectral and Multiscale Attention ConvLSTM Neural Network for Multisource Remote Sensing Data Classification

no code implementations9 Apr 2022 Heng-Chao Li, Wen-Shuai Hu, Wei Li, Jun Li, Qian Du, Antonio Plaza

The problem of effectively exploiting the information multiple data sources has become a relevant but challenging research topic in remote sensing.

Transfer Learning

MS-HLMO: Multi-scale Histogram of Local Main Orientation for Remote Sensing Image Registration

no code implementations1 Apr 2022 Chenzhong Gao, Wei Li, Ran Tao, Qian Du

Considering the characteristics and differences of multi-source remote sensing images, a feature-based registration algorithm named Multi-scale Histogram of Local Main Orientation (MS-HLMO) is proposed.

Image Registration

Change Detection from Synthetic Aperture Radar Images via Dual Path Denoising Network

no code implementations13 Mar 2022 Junjie Wang, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li

We also propose the distinctive patch convolution for feature representation learning to reduce the time consumption.

Change Detection Denoising +1

SSCU-Net: Spatial-Spectral Collaborative Unmixing Network for Hyperspectral Images

no code implementations12 Mar 2022 Lin Qi, Feng Gao, Junyu Dong, Xinbo Gao, Qian Du

Important findings on the use of spatial and spectral information in the autoencoder framework are discussed.

Hyperspectral Unmixing

Adaptive DropBlock Enhanced Generative Adversarial Networks for Hyperspectral Image Classification

1 code implementation22 Jan 2022 Junjie Wang, Feng Gao, Junyu Dong, Qian Du

Second, an adaptive DropBlock (AdapDrop) is proposed as a regularization method employed in the generator and discriminator to alleviate the mode collapse issue.

Classification Hyperspectral Image Classification

Change Detection from Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network

1 code implementation22 Jan 2022 Junjie Wang, Feng Gao, Junyu Dong, Shan Zhang, Qian Du

Synthetic aperture radar (SAR) image change detection is a vital yet challenging task in the field of remote sensing image analysis.

Change Detection

Deep Learning for UAV-based Object Detection and Tracking: A Survey

no code implementations25 Oct 2021 Xin Wu, Wei Li, Danfeng Hong, Ran Tao, Qian Du

Owing to effective and flexible data acquisition, unmanned aerial vehicle (UAV) has recently become a hotspot across the fields of computer vision (CV) and remote sensing (RS).

Management object-detection +2

Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images

no code implementations19 Oct 2021 Ge Zhang, Shaohui Mei, Mingyang Ma, Yan Feng, Qian Du

Spectral unmixing (SU) expresses the mixed pixels existed in hyperspectral images as the product of endmember and abundance, which has been widely used in hyperspectral imagery analysis.

Spectral Reconstruction

Synthetic Aperture Radar Image Change Detection via Siamese Adaptive Fusion Network

1 code implementation18 Oct 2021 Yunhao Gao, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li

Moreover, a correlation layer is designed to further explore the correlation between multitemporal images.

Change Detection

Superpixel-guided Discriminative Low-rank Representation of Hyperspectral Images for Classification

1 code implementation25 Aug 2021 Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du

Specifically, by utilizing the local spatial information and incorporating the predictions from a typical classifier, the first module segments pixels of an input HSI (or its restoration generated by the second module) into superpixels.


Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network

1 code implementation14 Apr 2021 Xiaofan Qu, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li

In addition, we further propose a multi-region convolution module, which emphasizes the central region of each patch.

Change Detection

More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification

1 code implementation12 Aug 2020 Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang

In particular, we also investigate a special case of multi-modality learning (MML) -- cross-modality learning (CML) that exists widely in RS image classification applications.

Classification General Classification +2

Efficient Deep Learning of Non-local Features for Hyperspectral Image Classification

1 code implementation2 Aug 2020 Yu Shen, Sijie Zhu, Chen Chen, Qian Du, Liang Xiao, Jianyu Chen, Delu Pan

Therefore, to incorporate the long-range contextual information, a deep fully convolutional network (FCN) with an efficient non-local module, named ENL-FCN, is proposed for HSI classification.

General Classification Hyperspectral Image Classification

Vehicle Detection of Multi-source Remote Sensing Data Using Active Fine-tuning Network

no code implementations16 Jul 2020 Xin Wu, Wei Li, Danfeng Hong, Jiaojiao Tian, Ran Tao, Qian Du

In addition, the generalization ability of Ms-AFt in dense remote sensing scenes is further verified on stereo aerial imagery of a large camping site.

Transfer Learning

Deep Prototypical Networks with Hybrid Residual Attention for Hyperspectral Image Classification

1 code implementation25 Jun 2020 Bobo Xi, Jiaojiao Li, Yunsong Li, Rui Song, Yanzi Shi, Songlin Liu, Qian Du

Recently, convolutional neural networks (CNNs) have attracted enormous attention in pattern recognition and demonstrated excellent performance in hyperspectral image (HSI) classification.

Classification General Classification +1

Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification

no code implementations9 May 2019 Wen-Shuai Hu, Heng-Chao Li, Lei Pan, Wei Li, Ran Tao, Qian Du

Particularly, long short-term memory (LSTM), as a special deep learning structure, has shown great ability in modeling long-term dependencies in the time dimension of video or the spectral dimension of HSIs.

General Classification Hyperspectral Image Classification

GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection

no code implementations5 May 2019 Qi. Wang, Senior Member, Zhenghang Yuan, Qian Du, Xuelong. Li, Fellow, IEEE

In order to better handle high dimension problem and explore abundance information, this paper presents a General End-to-end Two-dimensional CNN (GETNET) framework for hyperspectral image change detection (HSI-CD).

Change Detection

Real-time Decolorization using Dominant Colors

no code implementations10 Apr 2014 Wei Hu, Wei Li, Fan Zhang, Qian Du

Decolorization is the process to convert a color image or video to its grayscale version, and it has received great attention in recent years.

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