Search Results for author: Yirong Wu

Found 16 papers, 4 papers with code

Deep Semantic-Visual Alignment for Zero-Shot Remote Sensing Image Scene Classification

1 code implementation3 Feb 2024 Wenjia Xu, Jiuniu Wang, Zhiwei Wei, Mugen Peng, Yirong Wu

Besides, pioneer ZSL models use convolutional neural networks pre-trained on ImageNet, which focus on the main objects appearing in each image, neglecting the background context that also matters in RS scene classification.

Attribute Image Classification +4

CVGG-Net: Ship Recognition for SAR Images Based on Complex-Valued Convolutional Neural Network

no code implementations13 May 2023 Dandan Zhao, Zhe Zhang, Dongdong Lu, Jian Kang, Xiaolan Qiu, Yirong Wu

Although convolutional neural networks have been successfully employed for SAR image target recognition, surpassing traditional algorithms, most existing research concentrates on the amplitude domain and neglects the essential phase information.

SPHR-SAR-Net: Superpixel High-resolution SAR Imaging Network Based on Nonlocal Total Variation

no code implementations10 Apr 2023 Guoru Zhou, Zhongqiu Xu, Yizhe Fan, Zhe Zhang, Xiaolan Qiu, Bingchen Zhang, Kun fu, Yirong Wu

High-resolution is a key trend in the development of synthetic aperture radar (SAR), which enables the capture of fine details and accurate representation of backscattering properties.

Efficient Gridless DoA Estimation Method of Non-uniform Linear Arrays with Applications in Automotive Radars

no code implementations8 Mar 2023 Silin Gao, Zhe Zhang, Muhan Wang, Yan Zhang, Jie Zhao, Bingchen Zhang, Yue Wang, Yirong Wu

This paper focuses on the gridless direction-of-arrival (DoA) estimation for data acquired by non-uniform linear arrays (NLAs) in automotive applications.

Multi-dimension Geospatial feature learning for urban region function recognition

no code implementations18 Jul 2022 Wenjia Xu, Jiuniu Wang, Yirong Wu

In this paper, we propose a Multi-dimension Feature Learning Model~(MDFL) using high-dimensional GBD data in conjunction with RS images for urban region function recognition.

The First Airborne Experiment of Sparse Microwave Imaging: Prototype System Design and Result Analysis

no code implementations20 Oct 2021 Zhe Zhang, Bingchen Zhang, Chenglong Jiang, Xingdong Liang, Longyong Chen, Wen Hong, Yirong Wu

In this paper we report the first airborne experiments of sparse microwave imaging, conducted in September 2013 and May 2014, using our prototype sparse microwave imaging radar system.

SAR Image Classification Based on Spiking Neural Network through Spike-Time Dependent Plasticity and Gradient Descent

1 code implementation15 Jun 2021 Jiankun Chen, Xiaolan Qiu, Chibiao Ding, Yirong Wu

Based on the TensorFlow framework, a single layer supervised learning SNN is built from the bottom, and the classification accuracy reaches 90. 05\%.

Classification Image Classification

High Quality Remote Sensing Image Super-Resolution Using Deep Memory Connected Network

no code implementations1 Oct 2020 Wenjia Xu, Guangluan Xu, Yang Wang, Xian Sun, Daoyu Lin, Yirong Wu

Single image super-resolution is an effective way to enhance the spatial resolution of remote sensing image, which is crucial for many applications such as target detection and image classification.

Image Classification Image Super-Resolution

Where is the Model Looking At?--Concentrate and Explain the Network Attention

no code implementations29 Sep 2020 Wenjia Xu, Jiuniu Wang, Yang Wang, Guangluan Xu, Wei Dai, Yirong Wu

We generate attribute-based textual explanations for the network and ground the attributes on the image to show visual explanations.

Attribute Image Classification +1

SRQA: Synthetic Reader for Factoid Question Answering

1 code implementation2 Sep 2020 Jiuniu Wang, Wenjia Xu, Xingyu Fu, Yang Wei, Li Jin, Ziyan Chen, Guangluan Xu, Yirong Wu

This model enhances the question answering system in the multi-document scenario from three aspects: model structure, optimization goal, and training method, corresponding to Multilayer Attention (MA), Cross Evidence (CE), and Adversarial Training (AT) respectively.

Question Answering

ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition

1 code implementation2 Sep 2020 Jiuniu Wang, Wenjia Xu, Xingyu Fu, Guangluan Xu, Yirong Wu

Under such circumstances, how to make full use of the information extracted by word embedding requires more in-depth research.

named-entity-recognition Named Entity Recognition +1

ExpertBayes: Automatically refining manually built Bayesian networks

no code implementations10 Jun 2014 Ezilda Almeida, Pedro Ferreira, Tiago Vinhoza, Inês Dutra, Jingwei Li, Yirong Wu, Elizabeth Burnside

Bayesian network structures are usually built using only the data and starting from an empty network or from a naive Bayes structure.

Compressed Sensing SAR Imaging with Multilook Processing

no code implementations27 Oct 2013 Jian Fang, Zongben Xu, Bingchen Zhang, Wen Hong, Yirong Wu

Multilook processing is a widely used speckle reduction approach in synthetic aperture radar (SAR) imaging.

Compressive Sensing Image Reconstruction

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