Mini-UAV-based Remote Sensing: Techniques, Applications and Prospectives

The past few decades have witnessed the great progress of unmanned aircraft vehicles (UAVs) in civilian fields, especially in photogrammetry and remote sensing. In contrast with the platforms of manned aircraft and satellite, the UAV platform holds many promising characteristics: flexibility, efficiency, high-spatial/temporal resolution, low cost, easy operation, etc., which make it an effective complement to other remote-sensing platforms and a cost-effective means for remote sensing. Considering the popularity and expansion of UAV-based remote sensing in recent years, this paper provides a systematic survey on the recent advances and future prospectives of UAVs in the remote-sensing community. Specifically, the main challenges and key technologies of remote-sensing data processing based on UAVs are discussed and summarized firstly. Then, we provide an overview of the widespread applications of UAVs in remote sensing. Finally, some prospects for future work are discussed. We hope this paper will provide remote-sensing researchers an overall picture of recent UAV-based remote sensing developments and help guide the further research on this topic.

[1]  Abd El Rahman Shabayek,et al.  Vision Based UAV Attitude Estimation: Progress and Insights , 2012, J. Intell. Robotic Syst..

[2]  Roberto Cipolla,et al.  PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[3]  Salah Sukkarieh,et al.  Autonomous airborne wildlife tracking using radio signal strength , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[4]  Huanfeng Shen,et al.  A robust mosaicking procedure for high spatial resolution remote sensing images , 2015 .

[5]  Steven M. Seitz,et al.  Accurate Geo-Registration by Ground-to-Aerial Image Matching , 2014, 2014 2nd International Conference on 3D Vision.

[6]  Jitendra Malik,et al.  Learning a Multi-View Stereo Machine , 2017, NIPS.

[7]  F. Nex,et al.  UAV for 3D mapping applications: a review , 2014 .

[8]  Silvia I. Rondon,et al.  Detection of potato beetle damage using remote sensing from small unmanned aircraft systems , 2017 .

[9]  Michael Goesele,et al.  Aerial path planning for urban scene reconstruction , 2018, ACM Trans. Graph..

[10]  Wen Yang,et al.  Log-cumulants of the finite mixture model and their application to statistical analysis of fully polarimetric UAVSAR data , 2018, Geo spatial Inf. Sci..

[11]  I. Colomina,et al.  Unmanned aerial systems for photogrammetry and remote sensing: A review , 2014 .

[12]  Li Wei,et al.  A Solution to Cooperative Area Coverage Surveillance for a Swarm of MAVs , 2013 .

[13]  M. Havlena,et al.  Recent developments in large-scale tie-point matching , 2016 .

[14]  Richard Mount,et al.  Is wind-wave fetch exposure related to soft shoreline change in swell-sheltered situations with low terrestrial sediment input? , 2015, Journal of Coastal Conservation.

[15]  David Leary,et al.  Drones on ice: an assessment of the legal implications of the use of unmanned aerial vehicles in scientific research and by the tourist industry in Antarctica , 2017, Polar Record.

[16]  Tianzhu Xiang,et al.  Image stitching with perspective-preserving warping , 2016, ArXiv.

[17]  Bruno Volckaert,et al.  Embedded Real-Time Object Detection for a UAV Warning System , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

[18]  Gui-Song Xia,et al.  Anisotropic-Scale Junction Detection and Matching for Indoor Images , 2017, IEEE Transactions on Image Processing.

[19]  Marc Pollefeys,et al.  Multi-Label Semantic 3D Reconstruction Using Voxel Blocks , 2016, 2016 Fourth International Conference on 3D Vision (3DV).

[20]  Jianhua Gong,et al.  UAV Remote Sensing for Urban Vegetation Mapping Using Random Forest and Texture Analysis , 2015, Remote. Sens..

[21]  Gonzalo Pajares,et al.  Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs) , 2015 .

[22]  Z. Du,et al.  Reliable Spatial Relationship Constrained Feature Point Matching of Oblique Aerial Images , 2015 .

[23]  Thomas Oommen,et al.  Thermal Remote Sensing For Moisture Content Monitoring of Mine Tailings: Laboratory Study , 2017 .

[24]  Juha Hyyppä,et al.  Fully-Automated Power Line Extraction from Airborne Laser Scanning Point Clouds in Forest Areas , 2014, Remote. Sens..

[25]  Wolfgang Förstner,et al.  Photogrammetric Computer Vision: Statistics, Geometry, Orientation and Reconstruction , 2017 .

[26]  Mohsen Guizani,et al.  Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges , 2018, IEEE Access.

[27]  A. C. Seymour,et al.  Automated detection and enumeration of marine wildlife using unmanned aircraft systems (UAS) and thermal imagery , 2017, Scientific Reports.

[28]  Winston H. Hsu,et al.  Drone-Based Object Counting by Spatially Regularized Regional Proposal Network , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[29]  Tianzhu Xiang,et al.  Locally warping-based image stitching by imposing line constraints , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

[30]  Tao Zhang,et al.  A Survey of Model Compression and Acceleration for Deep Neural Networks , 2017, ArXiv.

[31]  Jungong Han,et al.  Visible and infrared image registration in man-made environments employing hybrid visual features , 2013, Pattern Recognit. Lett..

[32]  Michael Ying Yang,et al.  The UAVid Dataset for Video Semantic Segmentation , 2018, ArXiv.

[33]  Anshuman Bhardwaj,et al.  UAVs as remote sensing platform in glaciology: Present applications and future prospects , 2016 .

[34]  Lorenzo Bruzzone,et al.  Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[35]  Lutz Eckstein,et al.  The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems , 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

[36]  Cristina Gómez,et al.  Small unmanned airborne systems to support oil and gas pipeline monitoring and mapping , 2017, Arabian Journal of Geosciences.

[37]  Xianghua Ying,et al.  Radial Lens Distortion Correction Using Convolutional Neural Networks Trained with Synthesized Images , 2016, ACCV.

[38]  P. Pyšek,et al.  Timing Is Important: Unmanned Aircraft vs. Satellite Imagery in Plant Invasion Monitoring , 2017, Front. Plant Sci..

[39]  Ryosuke Shibasaki,et al.  UAV-Borne 3-D Mapping System by Multisensor Integration , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[40]  Z. Lin,et al.  UAV BORNE LOW ALTITUDE PHOTOGRAMMETRY SYSTEM , 2012 .

[41]  Azer P. Yalin,et al.  Water Plume Temperature Measurements by an Unmanned Aerial System (UAS) , 2017, Sensors.

[42]  Andreas Burkart,et al.  Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance , 2015 .

[43]  Kostas Stamatiou,et al.  Combining GeoEye-1 Satellite Remote Sensing, UAV Aerial Imaging, and Geophysical Surveys in Anomaly Detection Applied to Archaeology , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[44]  Juha Suomalainen,et al.  Estimating Plant Traits of Grasslands from UAV-Acquired Hyperspectral Images: A Comparison of Statistical Approaches , 2015, ISPRS Int. J. Geo Inf..

[45]  Fabio Remondino,et al.  State of the art in high density image matching , 2014 .

[46]  Vincent Lepetit,et al.  TILDE: A Temporally Invariant Learned DEtector , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[47]  Minh N. Do,et al.  SEAGULL: Seam-Guided Local Alignment for Parallax-Tolerant Image Stitching , 2016, ECCV.

[48]  Matthias Zwicker,et al.  Specular-to-Diffuse Translation for Multi-View Reconstruction , 2018, ECCV.

[49]  Karen Anderson,et al.  Lightweight unmanned aerial vehicles will revolutionize spatial ecology , 2013 .

[50]  Noah Snavely,et al.  Robust Global Translations with 1DSfM , 2014, ECCV.

[51]  A. Hodgson,et al.  Unmanned Aerial Vehicles (UAVs) for Surveying Marine Fauna: A Dugong Case Study , 2013, PloS one.

[52]  Andrea Berton,et al.  Forestry applications of UAVs in Europe: a review , 2017 .

[53]  Javier Alonso-Mora,et al.  Foresight: Remote Sensing for Autonomous Vehicles Using a Small Unmanned Aerial Vehicle , 2017, FSR.

[54]  Zhichao Yin,et al.  GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[55]  Vladimir A. Morozov,et al.  Low-altitude geophysical magnetic prospecting based on multirotor UAV as a promising replacement for traditional ground survey , 2018, Geo spatial Inf. Sci..

[56]  Alessandra Capolupo,et al.  Photogrammetry for environmental monitoring: the use of drones and hydrological models for detection of soil contaminated by copper. , 2015, The Science of the total environment.

[57]  M. Mulero-Pázmány,et al.  Remotely Piloted Aircraft Systems as a Rhinoceros Anti-Poaching Tool in Africa , 2014, PloS one.

[58]  Antonio J. Plaza,et al.  Recent Developments in High Performance Computing for Remote Sensing: A Review , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[59]  Jing Li,et al.  Parallax-Tolerant Image Stitching Based on Robust Elastic Warping , 2018, IEEE Transactions on Multimedia.

[60]  Li Yan,et al.  A fusion algorithm for infrared and visible images based on adaptive dual-channel unit-linking PCNN in NSCT domain , 2015 .

[61]  Yanxi Liu,et al.  Regularity-Driven Building Facade Matching between Aerial and Street Views , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[62]  Edwin Olson,et al.  AprilCal: Assisted and repeatable camera calibration , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[63]  Ryan R. Jensen,et al.  Small-Scale Unmanned Aerial Vehicles in Environmental Remote Sensing: Challenges and Opportunities , 2011 .

[64]  Gui-Song Xia,et al.  A survey on vision-based UAV navigation , 2018, Geo spatial Inf. Sci..

[65]  Kimberly M Fornace,et al.  Mapping infectious disease landscapes: unmanned aerial vehicles and epidemiology. , 2014, Trends in parasitology.

[66]  Chengyi Wang,et al.  Unmanned aerial vehicle oblique image registration using an ASIFT-based matching method , 2018 .

[67]  Steven C. Chapra,et al.  Remote Sensing of Submerged Aquatic Vegetation in a Shallow Non-Turbid River Using an Unmanned Aerial Vehicle , 2014, Remote. Sens..

[68]  Jie Li,et al.  Hierarchical and Adaptive Phase Correlation for Precise Disparity Estimation of UAV Images , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[69]  Ali Al-Sheary,et al.  Crowd Monitoring System Using Unmanned Aerial Vehicle (UAV) , 2017 .

[70]  Gamini Dissanayake,et al.  L2-SIFT: SIFT feature extraction and matching for large images in large-scale aerial photogrammetry , 2014 .

[71]  João Pedro Hespanha,et al.  Cooperative Search by UAV Teams: A Model Predictive Approach using Dynamic Graphs , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[72]  Xiaohua Tong,et al.  Rapid three-dimensional detection approach for building damage due to earthquakes by the use of parallel processing of unmanned aerial vehicle imagery , 2015 .

[73]  Eija Honkavaara,et al.  Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level , 2015, Remote. Sens..

[74]  Yann LeCun,et al.  Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches , 2015, J. Mach. Learn. Res..

[75]  Marc Pollefeys,et al.  SGM-Nets: Semi-Global Matching with Neural Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[76]  J. Katrasnik,et al.  A Survey of Mobile Robots for Distribution Power Line Inspection , 2010, IEEE Transactions on Power Delivery.

[77]  Silvio Savarese,et al.  Semantic structure from motion with points, regions, and objects , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[78]  Jürgen Schmidhuber,et al.  A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots , 2016, IEEE Robotics and Automation Letters.

[79]  Piero Toscano,et al.  Intercomparison of UAV, Aircraft and Satellite Remote Sensing Platforms for Precision Viticulture , 2015, Remote. Sens..

[80]  Jarrod C Hodgson,et al.  Precision wildlife monitoring using unmanned aerial vehicles , 2016, Scientific Reports.

[81]  Sandra Johnson,et al.  Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation , 2016, Sensors.

[82]  Vijay Kumar,et al.  Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model , 2017, IEEE Robotics and Automation Letters.

[83]  Bodo Rosenhahn,et al.  Vehicle detection in aerial images , 2018, IOP Conference Series: Earth and Environmental Science.

[84]  Albert Rango,et al.  Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications for Rangeland Environments , 2011, Remote. Sens..

[85]  Juho Kannala,et al.  A generic camera model and calibration method for conventional, wide-angle, and fish-eye lenses , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[86]  Xiao Xiang Zhu,et al.  Data Fusion and Remote Sensing: An ever-growing relationship , 2016, IEEE Geoscience and Remote Sensing Magazine.

[87]  Hongdong Li,et al.  Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[88]  Lei Zhou,et al.  GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints , 2018, ECCV.

[89]  Arnau Fombuena,et al.  Unmanned Aerial Vehicles and Spatial Thinking: Boarding Education With Geotechnology And Drones , 2017, IEEE Geoscience and Remote Sensing Magazine.

[90]  Pascal Fua,et al.  Learning to Match Aerial Images with Deep Attentive Architectures , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[91]  Shaohua Wang,et al.  A Robust Photogrammetric Processing Method of Low-Altitude UAV Images , 2015, Remote. Sens..

[92]  A. Ardeshir Goshtasby,et al.  Registration of multitemporal aerial optical images using line features , 2016 .

[93]  Shunping Ji,et al.  EVALUATION OF DEEP LEARNING BASED STEREO MATCHING METHODS: FROM GROUND TO AERIAL IMAGES , 2018 .

[94]  G. Verhoeven,et al.  Helikite aerial photography – a versatile means of unmanned, radio controlled, low‐altitude aerial archaeology , 2009 .

[95]  Fabio Remondino,et al.  ISPRS benchmark for multi - platform photogrammetry , 2015 .

[96]  Michael S. Brown,et al.  As-Projective-As-Possible Image Stitching with Moving DLT , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[97]  Ran Duan,et al.  Onboard Robust Visual Tracking for UAVs Using a Reliable Global-Local Object Model , 2016, Sensors.

[98]  Christopher Gomez,et al.  UAV- based Photogrammetry and Geocomputing for Hazards and Disaster Risk Monitoring – A Review , 2016, Geoenvironmental Disasters.

[99]  Farid Melgani,et al.  Automatic Car Counting Method for Unmanned Aerial Vehicle Images , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[100]  Shih-Fu Chang,et al.  Learning Discriminative and Transformation Covariant Local Feature Detectors , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[101]  Hujun Bao,et al.  Multi-Viewpoint Panorama Construction With Wide-Baseline Images , 2016, IEEE Transactions on Image Processing.

[102]  Mihai Datcu,et al.  Information processing for unmanned aerial vehicles (UAVs) in surveying, mapping, and navigation , 2018, Geo spatial Inf. Sci..

[103]  Jose Alberto Torres-Martínez,et al.  A Multi-Data Source and Multi-Sensor Approach for the 3D Reconstruction and Web Visualization of a Complex Archaelogical Site: The Case Study of "Tolmo De Minateda" , 2016, Remote. Sens..

[104]  Farid Melgani,et al.  Detecting Cars in UAV Images With a Catalog-Based Approach , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[105]  Shaohua Wang,et al.  A Virtual Restoration Approach for Ancient Plank Road Using Mechanical Analysis with Precision 3D Data of Heritage Site , 2016, Remote. Sens..

[106]  Wanshou Jiang,et al.  Hierarchical Motion Consistency Constraint for Efficient Geometrical Verification in UAV Image Matching , 2018, ArXiv.

[107]  S. Schmidtlein,et al.  Mapping plant species in mixed grassland communities using close range imaging spectroscopy , 2017 .

[108]  Wei Zhang,et al.  Kruppa equation based camera calibration from homography induced by remote plane , 2008, Pattern Recognit. Lett..

[109]  Jing Fu,et al.  Mosaicking UAV orthoimages using bounded Voronoi diagrams and watersheds , 2018 .

[110]  Mehdi Mokhtarzade,et al.  A novel post-calibration method for digital cameras using image linear features , 2017 .

[111]  Gellért Máttyus,et al.  Fast Multiclass Vehicle Detection on Aerial Images , 2015, IEEE Geoscience and Remote Sensing Letters.

[112]  Xiao Xiang Zhu,et al.  Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources , 2017, IEEE Geoscience and Remote Sensing Magazine.

[113]  Derrick Wing Kwan Ng,et al.  Resource Allocation for Solar Powered UAV Communication Systems , 2018, 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[114]  Mani Golparvar-Fard,et al.  Visual monitoring of civil infrastructure systems via camera-equipped Unmanned Aerial Vehicles (UAVs): a review of related works , 2016 .

[115]  Jianguo Liu,et al.  Illumination-invariant image matching for autonomous UAV localisation based on optical sensing , 2016 .

[116]  Julie Delon,et al.  Accurate Junction Detection and Characterization in Natural Images , 2013, International Journal of Computer Vision.

[117]  Albert Rango,et al.  Texture and Scale in Object-Based Analysis of Subdecimeter Resolution Unmanned Aerial Vehicle (UAV) Imagery , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[118]  Jean Ponce,et al.  Accurate, Dense, and Robust Multiview Stereopsis , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[119]  Bo Du,et al.  Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art , 2016, IEEE Geoscience and Remote Sensing Magazine.

[120]  Julie Linchant,et al.  Are unmanned aircraft systems (UASs) the future of wildlife monitoring? A review of accomplishments and challenges , 2015 .

[121]  Arthur P. Cracknell,et al.  UAVs: regulations and law enforcement , 2017 .

[122]  Samuel Murray,et al.  Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[123]  Raul Morais,et al.  Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry , 2017, Remote. Sens..

[124]  Tianzhu Xiang,et al.  Image Stitching by Line-guided Local Warping with Global Similarity Constraint , 2017, Pattern Recognit..

[125]  Pascal Fua,et al.  On benchmarking camera calibration and multi-view stereo for high resolution imagery , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[126]  Bernhard Rinner,et al.  A fast and mobile system for registration of low-altitude visual and thermal aerial images using multiple small-scale UAVs , 2015 .

[127]  Arko Lucieer,et al.  An Assessment of the Repeatability of Automatic Forest Inventory Metrics Derived From UAV-Borne Laser Scanning Data , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[128]  Xinkai Wu,et al.  Pedestrian Detection and Tracking from Low-Resolution Unmanned Aerial Vehicle Thermal Imagery , 2016, Sensors.

[129]  Carlos Hernandez,et al.  Multi-View Stereo: A Tutorial , 2015, Found. Trends Comput. Graph. Vis..

[130]  Dit-Yan Yeung,et al.  Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models , 2017, AAAI.

[131]  Charles K. Toth,et al.  Remote sensing platforms and sensors: A survey , 2016 .

[132]  Jaeyoung Cho,et al.  Multi-UAV Pre-Positioning and Routing for Power Network Damage Assessment , 2018, IEEE Transactions on Smart Grid.

[133]  Robert S. Nuske,et al.  Using Unmanned Aerial Vehicles (UAV) to Quantify Spatial Gap Patterns in Forests , 2014, Remote. Sens..

[134]  Zongxu Pan,et al.  Automatic Color Correction for Multisource Remote Sensing Images with Wasserstein CNN , 2017, Remote. Sens..

[135]  Eleni I. Vlahogianni,et al.  Unmanned Aerial Aircraft Systems for Transportation Engineering: Current Practice and Future Challenges , 2016 .

[136]  Qi Tian,et al.  The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking , 2018, ECCV.

[137]  Alex Kendall,et al.  End-to-End Learning of Geometry and Context for Deep Stereo Regression , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[138]  Junfeng Lei,et al.  Super-resolution enhancement of UAV images based on fractional calculus and POCS , 2018, Geo spatial Inf. Sci..

[139]  Julien Li-Chee-Ming,et al.  UAV navigation system using line-based sensor pose estimation , 2018, Geo spatial Inf. Sci..

[140]  Chris H. Hugenholtz,et al.  A UAV-based system for detecting natural gas leaks , 2017 .

[141]  J. Théau,et al.  Recent applications of unmanned aerial imagery in natural resource management , 2014 .

[142]  Bisheng Yang,et al.  Automatic registration of UAV-borne sequent images and LiDAR data , 2015 .

[143]  Duccio Rocchini,et al.  Will remote sensing shape the next generation of species distribution models? , 2015 .

[144]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[145]  Tung-Ching Su,et al.  Application of Multispectral Sensors Carried on Unmanned Aerial Vehicle (UAV) to Trophic State Mapping of Small Reservoirs: A Case Study of Tain-Pu Reservoir in Kinmen, Taiwan , 2015, Remote. Sens..

[146]  Ronen Basri,et al.  A Survey on Structure from Motion , 2017, ArXiv.

[147]  David Martin,et al.  Street View Motion-from-Structure-from-Motion , 2013, 2013 IEEE International Conference on Computer Vision.

[148]  Aníbal Ollero,et al.  Journal of Intelligent & Robotic Systems manuscript No. (will be inserted by the editor) An Unmanned Aircraft System for Automatic Forest Fire Monitoring and Measurement , 2022 .

[149]  Yi Lin,et al.  Development of a UAV-MMS-Collaborative Aerial-to-Ground Remote Sensing System – A Preparatory Field Validation , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[150]  Andreas Burkart,et al.  Deploying four optical UAV-based sensors over grassland: challenges and limitations , 2015 .

[151]  Luís Pádua,et al.  UAS, sensors, and data processing in agroforestry: a review towards practical applications , 2017 .

[152]  Chunhua Zhang,et al.  The application of small unmanned aerial systems for precision agriculture: a review , 2012, Precision Agriculture.

[153]  Heikki Saari,et al.  Remote Sensing of 3-D Geometry and Surface Moisture of a Peat Production Area Using Hyperspectral Frame Cameras in Visible to Short-Wave Infrared Spectral Ranges Onboard a Small Unmanned Airborne Vehicle (UAV) , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[154]  Meng-Han Tsai,et al.  A review of rotorcraft Unmanned Aerial Vehicle (UAV) developments and applications in civil engineering , 2014 .

[155]  Yu Qin,et al.  Improving estimates of fractional vegetation cover based on UAV in alpine grassland on the Qinghai–Tibetan Plateau , 2016 .

[156]  T. Rakha,et al.  Review of Unmanned Aerial System (UAS) applications in the built environment: Towards automated building inspection procedures using drones , 2018, Automation in Construction.

[157]  L. Deng,et al.  UAV-based multispectral remote sensing for precision agriculture: A comparison between different cameras , 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

[158]  Sebastián Castillo-Carrión,et al.  Autonomous 3D metric reconstruction from uncalibrated aerial images captured from UAVs , 2017 .

[159]  Jie Xu,et al.  Throughput Maximization for Laser-Powered UAV Wireless Communication Systems , 2018, 2018 IEEE International Conference on Communications Workshops (ICC Workshops).

[160]  WhiteheadKen,et al.  Remote sensing of the environment with small unmanned aircraft systems (UASs), part 1: a review of progress and challenges1 , 2014 .

[161]  Anthony Pamart,et al.  A Shape-Adjusted Tridimensional Reconstruction of Cultural Heritage Artifacts Using a Miniature Quadrotor , 2016, Remote. Sens..

[162]  Arko Lucieer,et al.  Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery , 2012, Remote. Sens..

[163]  Filip Biljecki,et al.  Applications of 3D City Models: State of the Art Review , 2015, ISPRS Int. J. Geo Inf..

[164]  Long Quan,et al.  Distributed Very Large Scale Bundle Adjustment by Global Camera Consensus , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[165]  S. Wich,et al.  Dawn of Drone Ecology: Low-Cost Autonomous Aerial Vehicles for Conservation , 2012 .

[166]  Yu Chen,et al.  Large-Scale Structure from Motion with Semantic Constraints of Aerial Images , 2018, PRCV.

[167]  Christophe Delacourt,et al.  Potential of UAVs for Monitoring Mudflat Morphodynamics (Application to the Seine Estuary, France) , 2016, ISPRS Int. J. Geo Inf..

[168]  Hyoungkwan Kim,et al.  UAV-based automatic generation of high-resolution panorama at a construction site with a focus on preprocessing for image stitching , 2017 .

[169]  Arko Lucieer,et al.  Evaluating Tree Detection and Segmentation Routines on Very High Resolution UAV LiDAR Data , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[170]  Maciej Stachura,et al.  Overview of Small Fixed-Wing Unmanned Aircraft for Meteorological Sampling , 2015 .

[171]  Michael C. Hatfield,et al.  Unmanned aircraft systems in wildlife research: current and future applications of a transformative technology , 2016 .

[172]  Daniel Sabatier,et al.  Species Distribution Modelling: Contrasting presence-only models with plot abundance data , 2018, Scientific Reports.

[173]  Daniel Santana-Cedrés,et al.  Automatic Lens Distortion Correction Using One-Parameter Division Models , 2014, Image Process. Line.

[174]  Wei Zhang,et al.  Globally consistent alignment for planar mosaicking via topology analysis , 2017, Pattern Recognit..

[175]  Damian Wierzbicki,et al.  Multi-Camera Imaging System for UAV Photogrammetry , 2018, Sensors.

[176]  Fred L. Bunnell,et al.  Down wood and biodiversity — implications to forest practices , 2010 .

[177]  Silvio Savarese,et al.  Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes , 2016, ECCV.

[178]  Kyungdon Joo,et al.  High Quality Structure from Small Motion for Rolling Shutter Cameras , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[179]  Naoto Yokoya,et al.  Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art , 2017, IEEE Geoscience and Remote Sensing Magazine.

[180]  A. Gruen Development and Status of Image Matching in Photogrammetry , 2012 .

[181]  Wei Jie,et al.  A review of parallel computing for large-scale remote sensing image mosaicking , 2015, Cluster Computing.

[182]  Juha Hyyppä,et al.  Remote sensing methods for power line corridor surveys , 2016 .

[183]  Arko Lucieer,et al.  Direct Georeferencing of Ultrahigh-Resolution UAV Imagery , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[184]  Lei Zhou,et al.  Progressive Large Scale-Invariant Image Matching in Scale Space , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[185]  Yongjun Zhang,et al.  Photogrammetric processing of low‐altitude images acquired by unpiloted aerial vehicles , 2011 .

[186]  Narendra Ahuja,et al.  DeepMVS: Learning Multi-view Stereopsis , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[187]  J. Gonçalves,et al.  UAV photogrammetry for topographic monitoring of coastal areas , 2015 .

[188]  Jong Beom Ra,et al.  Multi-sensor image registration based on intensity and edge orientation information , 2008, Pattern Recognit..