Explanipedia

Using LSTM with Trajectory Point Correlation and Temporal Pattern Attention for Ship Trajectory Prediction Open

Yi Zhou, Haitao Guo, Jun Lu, Zhihui Gong, Donghang Yu , et al. · 2024

Accurate ship trajectory prediction is crucial for real-time vessel position tracking and maritime safety management. However, existing methods for ship trajectory prediction encounter significant challenges. They struggle to effectively e…

Correction: Niu et al. SMNet: Symmetric Multi-Task Network for Semantic Change Detection in Remote Sensing Images Based on CNN and Transformer. Remote Sens. 2022, 15, 949 Open

Yiting Niu, Haitao Guo, Jun Lu, Lei Ding, Donghang Yu · 2023

In the original publication [...]

SMNet: Symmetric Multi-Task Network for Semantic Change Detection in Remote Sensing Images Based on CNN and Transformer Open

Yiting Niu, Haitao Guo, Jun Lu, Lei Ding, Donghang Yu · 2023

Deep learning has achieved great success in remote sensing image change detection (CD). However, most methods focus only on the changed regions of images and cannot accurately identify their detailed semantic categories. In addition, most …

Cracking the Code of Rural Road Construction: An Evolutionary Game Analysis of Public-Private Partnership Willingness in China's PPP Mode Open

Gongliang Zhang, Donghang Yu, Weitan Lu, Gengxin Jia · 2023

Dual-Resolution and Deformable Multihead Network for Oriented Object Detection in Remote Sensing Images Open

Donghang Yu, Qing Xu, Xiangyun Liu, Haitao Guo, Jun Lu , et al. · 2022

Compared with general object detection, the scale variations, arbitrary orientations, and complex backgrounds of objects in remote sensing images make it more challenging to detect oriented objects. Especially for oriented objects that hav…

Multi-Feature Information Complementary Detector: A High-Precision Object Detection Model for Remote Sensing Images Open

Jiaqi Wang, Zhihui Gong, Xiangyun Liu, Haitao Guo, Jun Lu , et al. · 2022

Remote sensing for image object detection has numerous important applications. However, complex backgrounds and large object-scale differences pose considerable challenges in the detection task. To overcome these issues, we proposed a one-…

Object Detection Based on Adaptive Feature-Aware Method in Optical Remote Sensing Images Open

Jiaqi Wang, Zhihui Gong, Xiangyun Liu, Haitao Guo, Donghang Yu , et al. · 2022

Object detection is used widely in remote sensing image interpretation. Although most models used for object detection have achieved high detection accuracy, computational complexity and low detection speeds limit their application in real…

Anchor-Free Arbitrary-Oriented Object Detector Using Box Boundary-Aware Vectors Open

Donghang Yu, Qing Xu, Haitao Guo, Junfeng Xu, Jun Lu , et al. · 2022

Characterized by complicated backgrounds, various types, large size variations, and arbitrary orientations, the detection and recognition of arbitrary-oriented objects in remote sensing images are challenging. To address the aforementioned…

Aggregating Features From Dual Paths for Remote Sensing Image Scene Classification Open

Donghang Yu, Qing Xu, Haitao Guo, Jun Lu, Yuzhun Lin , et al. · 2022

Scene classification is an important and challenging task employed toward understanding remote sensing images. Convolutional neural networks have been widely applied in remote sensing scene classification in recent years, boosting classifi…

An Efficient and Lightweight Convolutional Neural Network for Remote Sensing Image Scene Classification Open

Donghang Yu, Qing Xu, Haitao Guo, Chuan Zhao, Yuzhun Lin , et al. · 2020

Classifying remote sensing images is vital for interpreting image content. Presently, remote sensing image scene classification methods using convolutional neural networks have drawbacks, including excessive parameters and heavy calculatio…

Aircraft target change detection for high-resolution remote sensing images using multi-feature fusion Open

Junfeng Xu, Baoming Zhang, Donghang Yu, Yuzhun Lin, Haitao Guo · 2020

Scene classification of remote sensing image using ensemble convolutional neural network Open

Donghang Yu, Baoming Zhang, Chuan ZHAO, Haitao Guo, Jun Lu · 2020

Hierarchical Attention and Bilinear Fusion for Remote Sensing Image Scene Classification Open

Donghang Yu, Haitao Guo, Qing Xu, Jun Lu, Chuan Zhao , et al. · 2020

Remote sensing image scene classification is an important means for the understanding of remote sensing images. Convolutional neural networks (CNNs) have been successfully applied to remote sensing image scene classification and have demon…

Aircraft detection in remote sensing images using cascade convolutional neural networks Open

Donghang Yu, Guo Haitao, Zhang Bao-ming, Chuan Zhao, Jun Lü · 2019

Traditional aircraft detection algorithms which adopt handcraft features have poor performance in complex scene images and recognizing multi-scale objects. Methods using deep convolutional neural networks still face difficulty in dim small…

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