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dong wang
dong wang
Northwestern polytechnology university
Verified email at mail.nwpu.edu.cn
Title
Cited by
Cited by
Year
Weed identification based on K-means feature learning combined with convolutional neural network
JL Tang, D Wang, ZG Zhang, LJ He, J Xin, Y Xu
Computers and electronics in agriculture 135, 63-70, 2017
2492017
Weed detection using image processing under different illumination for site-specific areas spraying
JL Tang, XQ Chen, RH Miao, D Wang
Computers and Electronics in Agriculture 122, 103-111, 2016
1342016
Few-shot classification of aerial scene images via meta-learning
P Zhang, Y Bai, D Wang, B Bai, Y Li
Remote Sensing 13 (1), 108, 2021
832021
Dairy goat detection based on Faster R-CNN from surveillance video
D Wang, JL Tang, W Zhu, H Li, J Xin, D He
Computers and Electronics in Agriculture 154, 443-449, 2018
562018
Going deeper with densely connected convolutional neural networks for multispectral pansharpening
D Wang, Y Li, L Ma, Z Bai, JCW Chan
Remote Sensing 11 (22), 2608, 2019
372019
RS-SSKD: Self-Supervision Equipped with Knowledge Distillation for Few-Shot Remote Sensing Scene Classification
P Zhang, Y Li, D Wang, J Wang
Sensors 21 (5), 1566, 2021
212021
Task-adaptive embedding learning with dynamic kernel fusion for few-shot remote sensing scene classification
P Zhang, G Fan, C Wu, D Wang, Y Li
Remote Sensing 13 (21), 4200, 2021
172021
Research on weeds identification based on K-means feature learning
JL Tang, ZG Zhang, D Wang, J Xin, LJ He
Soft Computing 22 (22), 7649-7658, 2018
172018
Convolutional LSTM-based hierarchical feature fusion for multispectral pan-sharpening
D Wang, Y Bai, C Wu, Y Li, C Shang, Q Shen
IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2021
142021
HSR-Diff: Hyperspectral image super-resolution via conditional diffusion models
C Wu, D Wang, Y Bai, H Mao, Y Li, Q Shen
Proceedings of the IEEE/CVF International Conference on Computer Vision íK, 2023
132023
A Meta-Learning Framework for Few-Shot Classification of Remote Sensing Scene
P Zhang, Y Bai, D Wang, B Bai, Y Li
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and íK, 2021
112021
Bilinear Semi-Tensor Product Attention (BSTPA) model for visual question answering
Z Bai, Y Li, M Zhou, D Li, D Wang, D Połap, M Woźniak
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
112020
HMF-Former: Spatio-Spectral Transformer for Hyperspectral and Multispectral Image Fusion
T You, C Wu, Y Bai, D Wang, H Ge, Y Li
IEEE Geoscience and Remote Sensing Letters, 2022
92022
Hierarchical spatio-spectral fusion for hyperspectral image super resolution via sparse representation and pre-trained deep model
J Yang, C Wu, T You, D Wang, Y Li, C Shang, Q Shen
Knowledge-Based Systems 260, 110170, 2023
72023
MetaPan: Unsupervised Adaptation with Meta-Learning for Multispectral Pansharpening
D Wang, P Zhang, Y Bai, Y Li
IEEE Geoscience and Remote Sensing Letters, 2022
72022
Heterogeneous two-Stream Network with Hierarchical Feature Prefusion for Multispectral Pan-Sharpening
D Wang, Y Bai, B Bai, C Wu, Y Li
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and íK, 2021
62021
Multispectral pan-sharpening via dual-channel convolutional network with convolutional lstm based hierarchical spatial-spectral feature fusion
D Wang, Y Bai, Y Li
arXiv preprint arXiv:2007.10060, 2020
32020
A Multitask Network for Joint Multispectral Pansharpening on Diverse Satellite Data
D Wang, C Wu, Y Bai, Y Li, C Shang, Q Shen
IEEE Transactions on Neural Networks and Learning Systems, 2023
2023
Few-Shot Classification of Aerial Scene Images via Meta-Learning. Remote Sens. 2021, 13, 108
P Zhang, Y Bai, D Wang, B Bai, Y Li
s Note: MDPI stays neu-tral with regard to jurisdictional clai-ms in íK, 2020
2020
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Articles 1–19