IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | Topics | IEEE Xplore
UAV Remote Sensing Monitoring and Applications
Volume 18: 2025
Showing 1-10 of 10
Current methods synthetic aperture radar–automatic target recognition (SAR–ATR) research methods still struggle with overfitting due to small amounts of training data, as well as black-box opacity and high computational requirements. Unmanned aerial vehicles, as the mainstream means of acquiring SAR data, place higher requirements on ATR algorithms due to their flexible maneuvering characteristics...Show More
The photogrammetric 3-D textured mesh model (TMM) obtained by unmanned aerial vehicle provides accurate geometric shapes and realistic textures. The 3-D semantics derived from TMMs serve as the foundation in many applications, such as urban planning, forestry, and smart city. Although 3-D TMM provides more features than 2-D images, current classification methods have not fully utilized these featu...Show More
In hyperspectral images, the high dimensionality of spectral data often leads to redundant spectral information, making it difficult to extract features. Two-dimensional CNNs fail to effec-tively extract spatial and spectral information, and deploying three-dimensional CNNs on microprocessors is challenging as these net-works consume excessive resources. If graph convolutional networks (GCN) are a...Show More
In response to the registration error problem caused by different degrees of local distortion in different positions of drone orthophoto images during two periods, this article proposes a block-based registration strategy suitable for drone orthophoto images, which is first global and then local. This strategy first uses the Fourier Merlin transform to perform overall registration on the drone ort...Show More
With the rapid development of autonomous aerial vehicles (AAV) remote sensing equipment, multimodal image data in the remote sensing field have exploded in recent years.In order to effectively alleviate the differences between the three modalities of SAR, visible light, and infrared, we proposed a vehicle reidentification (Re-ID) task based on multimodal aerial images. Compared with traditional Re...Show More
Accurate detection of small objects plays an important role in the application of Autonomous aerial vehicles (AAV). However, current works mainly extract comprehensive features from unimodal images, which can obtain very limited distinguishable features for objects, especially those with small sizes. To address this issue, we propose a dynamic cascade cross-modal coassisted network, which integrat...Show More
The imbalance between positive and negative samples and the loss of small targets in complex backgrounds are catastrophic for infrared small target detection. To address these issues, we proposed an infrared small target detection method based on weak feature enhancement and target adaptive proliferation (IRSTD-WFETAP). First, we utilized a sparse sampling mechanism and hybrid filtering method to ...Show More
In recent years, significant advances in unmanned aerial vehicle (UAV) technology and hyperspectral remote sensing have spurred rapid and innovative developments in UAV-based hyperspectral image (HSI) classification across a range of fields, including environmental monitoring, precision agriculture, forest health assessment, and disaster management. Compared to spaceborne platforms, the spectra of...Show More
In response to the challenge of image degradation caused by strong sea breezes during drone surveillance over tidal flats, conventional methodologies have predominantly employed iterative upsampling and downsampling techniques to augment the receptive field of the network. However, this approach is prone to the loss of critical texture data within the tidal flat imagery throughout the sampling pro...Show More
Global warming has significantly increased the frequency of forest fires. Unmanned aerial vehicles (UAVs) provide rapid response and real-time monitoring, offering unique advantages over traditional human inspections and satellite monitoring. Their ability to monitor large forest areas during the early stages of fires supports timely warning. UAVs typically detect fires by capturing visible and in...Show More

Contact Information

Editor-in-Chief
Jun Li
China University of Geosciences
Wuhan
China
lijuncug@cug.edu.cn