1 code implementation • 3 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.
no code implementations • 2 Feb 2024 • Silin Gao, Wenlong Wang, Muhan Wang, Zhe Zhang, Zai Yang, Xiaolan Qiu, Bingchen Zhang, Yirong Wu
This paper presents an innovative gridless 3-D imaging framework tailored for UAV-borne TomoSAR.
no code implementations • 13 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.
no code implementations • 10 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.
no code implementations • 8 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.
no code implementations • 18 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.
no code implementations • 26 Apr 2022 • Silin Gao, Zhe Zhang, Bingchen Zhang, Yirong Wu
The resolving along the elevation direction can be treated as a line spectrum estimation problem.
no code implementations • 20 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.
1 code implementation • 15 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\%.
no code implementations • 1 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.
no code implementations • 29 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.
1 code implementation • 2 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.
1 code implementation • 2 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.
no code implementations • 3 Sep 2018 • Jiuniu Wang, Xingyu Fu, Guangluan Xu, Yirong Wu, Ziyan Chen, Yang Wei, Li Jin
Meanwhile, we construct A3Net for the WebQA dataset.
no code implementations • 10 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.
no code implementations • 27 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.