Intelligent Processing and Analysis of Multi-Spectral UAV Remote Sensing Images

A special issue of Journal of Imaging (ISSN 2313-433X).

Deadline for manuscript submissions: 30 June 2026 | Viewed by 154

Special Issue Editors


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Guest Editor
Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
Interests: multi-temporal remote sensing; change detection; object detection; semantic segmentation; multi-modal remote sensing
Special Issues, Collections and Topics in MDPI journals
College of Geophysics, Chengdu University of Technology, Chengdu 610059, China
Interests: multi-temporal remote sensing; semantic segmentation; edge detection; forest ecological processes

Special Issue Information

Dear Colleagues,

Unmanned aerial vehicles (UAVs) equipped with multispectral sensors have completely transformed remote sensing technology, enabling it to achieve high spatial resolution, high temporal density, and low-cost data collection. These advancements are of vital importance for applications such as precision agriculture, environmental monitoring, disaster assessment, resource survey, and urban planning. In the early stage of UAV application, it was limited to basic aerial mapping. With the development of sensor technology, artificial intelligence, and edge computing, its functions have been expanded, enabling high-resolution 2D/3D reconstruction, object detection, and biomass inversion. The integration of deep learning technology has further enhanced the capabilities of automatic feature extraction, semantic segmentation, and large-scale data processing, promoting the expansion of the application boundaries of UVAs.

However, there are still challenges in dealing with complex environments, occlusions, variable illumination, and computational limitations. In addition, the continuous growth of UAV data volume requires efficient storage, transmission, and analysis solutions. This Special Issue sincerely invites contributions on novel methods, AI-based approaches,  and case studies addressing these challenges and advancing UAV image processing and analysis. We welcome theoretical and applied research, including but not limited to deep learning models for multi-spectral UAV image processing, object detection, Semantic segmentation, and biomass inversion. Forward-looking assumptions and forward-looking viewpoints with a scientific basis are also encouraged.

Dr. Liang Huang
Dr. Zenan Yang
Guest Editors

Manuscript Submission Information

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Keywords

  • multi-spectral UAV remote sensing
  • UAV image processing and analysis
  • deep learning for UAV image processing
  • thermal infrared UAV remote sensing
  • object detection
  • biomass inversion
  • semantic segmentation
  • change detection
  • precision agriculture
  • disaster monitoring

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Published Papers

This special issue is now open for submission.
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