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Remote Sensing
Special Issues
Intelligent Processing and Application of UAV Remote Sensing Image Data
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Intelligent Processing and Application of UAV Remote Sensing Image Data

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: 30 July 2024 | Viewed by 1590

Special Issue Editor

Prof. Dr. Haigang Sui

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Guest Editor
The State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
Interests: remote sensing intelligent interpretation; GIS theory and application; unmanned autonomous aerial vehicles; multi-sensor integration; spatio-temporal big data analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Unmanned aerial vehicles (UAVs) carrying different remote sensing loads have been widely used in agricultural monitoring, disaster emergency, urban management, military and other fields. UAVs represent a valid alternative or a complementary solution to satelite platforms, especially for extremely high-resolution acquisitions on small or inaccessible areas, and are not limited by revisit cycles. However, the processing, fusion and comprehensive application of massive UAV remote sensing data are emerging as one of the most important issues in the community.

This Special Issue aims at collecting new developments and methodologies, best practices and applications of UAVs in intelligent processing and application of remote sensing image data.

  • Fine 3D reconstruction of buildings/structures
  • Autonomous indoor/underground landform 3D reconstruction(shopping malls, train station, underground park, catacombs, carst cave, etc.)
  • UAV online target detection and tracking
  • Intelligent interpretation of UAV video/image (image classification, feature extraction, target detection, change detection, biophysical parameter estimation, etc.)
  • Other on-board sensor data processing (multispectral, hyperspectral, thermal, lidar, SAR, gas or radioactivity sensors, etc.)
  • Data fusion: integration of UAV imagery with satellite, aerial or terrestrial data, integration of heterogeneous data captured by UAVs
  • Online and real-time processing/collaborative and fleet of UAVs applied to remote sensing
  • Applications (urban monitoring, precision farming, forestry, disaster prevention, assessment and monitoring, search and rescue, security, archaeology, industrial plant inspection, etc.)
  • Any use of UAVs related to remote sensing

You may choose our Joint Special Issue in Drones.

Prof. Dr. Haigang Sui
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • intelligent processing and application
  • UAV 3D reconstruction in indoor/underground scenes
  • target detection and tracking
  • intelligent interpretation of UAV video/image
  • online and real time processing
  • collaborative and UAV swarm

Published Papers (2 papers)

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Research

18 pages, 9209 KiB  
Article
UAV Complex-Scene Single-Target Tracking Based on Improved Re-Detection Staple Algorithm
by Yiqing Huang, He Huang, Mingbo Niu, Md Sipon Miah, Huifeng Wang and Tao Gao
Remote Sens. 2024, 16(10), 1768; https://doi.org/10.3390/rs16101768 - 16 May 2024
Viewed by 23
Abstract
With the advancement of remote sensing technology, the demand for the accurate monitoring and tracking of various targets utilizing unmanned aerial vehicles (UAVs) is increasing. However, challenges such as object deformation, motion blur, and object occlusion during the tracking process could significantly affect [...] Read more.
With the advancement of remote sensing technology, the demand for the accurate monitoring and tracking of various targets utilizing unmanned aerial vehicles (UAVs) is increasing. However, challenges such as object deformation, motion blur, and object occlusion during the tracking process could significantly affect tracking performance and ultimately lead to tracking drift. To address this issue, this paper introduces a high-precision target-tracking method with anomaly tracking status detection and recovery. An adaptive feature fusion strategy is proposed to improve the adaptability of the traditional sum of template and pixel-wise learners (Staple) algorithm to changes in target appearance and environmental conditions. Additionally, the Moth Flame Optimization (MFO) algorithm, known for its strong global search capability, is introduced as a re-detection algorithm in case of tracking failure. Furthermore, a trajectory-guided Gaussian initialization technique and an iteration speed update strategy are proposed based on sexual pheromone density to enhance the tracking performance of the introduced re-detection algorithm. Comparative experiments conducted on UAV123 and UAVDT datasets demonstrate the excellent stability and robustness of the proposed algorithm. Full article
(This article belongs to the Special Issue Intelligent Processing and Application of UAV Remote Sensing Image Data)
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20 pages, 16892 KiB  
Article
Long-Range 3D Reconstruction Based on Flexible Configuration Stereo Vision Using Multiple Aerial Robots
by Borwonpob Sumetheeprasit, Ricardo Rosales Martinez, Hannibal Paul and Kazuhiro Shimonomura
Remote Sens. 2024, 16(2), 234; https://doi.org/10.3390/rs16020234 - 7 Jan 2024
Viewed by 1030
Abstract
Aerial robots, or unmanned aerial vehicles (UAVs), are widely used in 3D reconstruction tasks employing a wide range of sensors. In this work, we explore the use of wide baseline and non-parallel stereo vision for fast and movement-efficient long-range 3D reconstruction with multiple [...] Read more.
Aerial robots, or unmanned aerial vehicles (UAVs), are widely used in 3D reconstruction tasks employing a wide range of sensors. In this work, we explore the use of wide baseline and non-parallel stereo vision for fast and movement-efficient long-range 3D reconstruction with multiple aerial robots. Each viewpoint of the stereo vision system is distributed on separate aerial robots, facilitating the adjustment of various parameters, including baseline length, configuration axis, and inward yaw tilt angle. Additionally, multiple aerial robots with different sets of parameters can be used simultaneously, including the use of multiple baselines, which allows for 3D monitoring at various depth ranges simultaneously, and the combined use of horizontal and vertical stereo, which improves the quality and completeness of depth estimation. Depth estimation at a distance of up to 400 m with less than 10% error using only 10 m of active flight distance is demonstrated in the simulation. Additionally, estimation of a distance of up to 100 m with flight distance of up to 10 m on the vertical axis and horizontal axis is demonstrated in an outdoor mapping experiment using the developed prototype UAVs. Full article
(This article belongs to the Special Issue Intelligent Processing and Application of UAV Remote Sensing Image Data)
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