A survey on deep learning-based change detection from high-resolution remote sensing images
H Jiang, M Peng, Y Zhong, H Xie, Z Hao, J Lin, X Ma… - Remote Sensing, 2022 - mdpi.com
Change detection based on remote sensing images plays an important role in the field of
remote sensing analysis, and it has been widely used in many areas, such as resources …
remote sensing analysis, and it has been widely used in many areas, such as resources …
[HTML][HTML] A review on unmanned aerial vehicle remote sensing: Platforms, sensors, data processing methods, and applications
Z Zhang, L Zhu - drones, 2023 - mdpi.com
In recent years, UAV remote sensing has gradually attracted the attention of scientific
researchers and industry, due to its broad application prospects. It has been widely used in …
researchers and industry, due to its broad application prospects. It has been widely used in …
An attention-based multiscale transformer network for remote sensing image change detection
The bi-temporal change detection (CD) is still challenging for high-resolution optical remote
sensing data analysis due to various factors such as complex textures, seasonal variations …
sensing data analysis due to various factors such as complex textures, seasonal variations …
Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …
and cost-effective solutions for data collection and communications. Their excellent mobility …
Semantics for robotic mapping, perception and interaction: A survey
For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …
require a deeper understanding of the world in which they operate. In robotics and related …
Deep multiscale Siamese network with parallel convolutional structure and self-attention for change detection
With the wide application of deep learning (DL), change detection (CD) for remote-sensing
images (RSIs) has realized the leap from the traditional to the intelligent methods. However …
images (RSIs) has realized the leap from the traditional to the intelligent methods. However …
Spatial-temporal based multihead self-attention for remote sensing image change detection
The neural network-based remote sensing image change detection method faces a large
amount of imaging interference and severe class imbalance problems under high-resolution …
amount of imaging interference and severe class imbalance problems under high-resolution …
A novel multitask adversarial network via redundant lifting for multicomponent intelligent fault detection under sharp speed variation
Z Shi, J Chen, Y Zi, Z Zhou - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Playing a vital role in the safe operation of equipment, intelligent fault detection has been
extensively applied in mechanical systems. However, the complicated mapping of signal …
extensively applied in mechanical systems. However, the complicated mapping of signal …
[PDF][PDF] 深度学习的遥感变化检测综述: 文献计量与分析
杨彬， 毛银， 陈晋， 刘建强， 陈杰， 闫凯 - 遥感学报, 2023 - ygxb.ac.cn
遥感变化检测可以获取地表变化信息, 对于理解人与自然相互作用, 推动可持续发展具有重要
意义. 随着遥感成像技术的提升和计算机科学的快速发展, 高光谱, 高时间, 高空间分辨率的遥感 …
意义. 随着遥感成像技术的提升和计算机科学的快速发展, 高光谱, 高时间, 高空间分辨率的遥感 …
[HTML][HTML] A multiscale graph convolutional network for change detection in homogeneous and heterogeneous remote sensing images
To date, although numerous methods of Change detection (CD) in remote sensing images
have been proposed, accurately identifying changes is still a great challenge, due to the …
have been proposed, accurately identifying changes is still a great challenge, due to the …