On-Board GNSS/IMU Assisted Feature Extraction and Matching for Oblique UAV Images

Jiang, San; Jiang, Wanshou

doi:10.3390/rs9080813

Cited by 44 publications

(37 citation statements)

References 29 publications

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“…local homography constraint, can be used to guide the propagative matching [74]. The other is to apply geometric rectification before image matching [40]. If images collected by UAVs contain rough or precise exterior orientation elements and camera installation parameters, they can be used for geometric rectification of oblique UAV images to relieve perspective deformations.…”

Section: Low-altitude Uav Image Matchingmentioning

confidence: 99%

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Mini-Unmanned Aerial Vehicle-Based Remote Sensing: Techniques, applications, and prospects

Xiang

Xia

Zhang

2019

IEEE Geosci. Remote Sens. Mag.

163

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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, highspatial/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 remotesensing researchers an overall picture of recent UAV-based remote sensing developments and help guide the further research on this topic.

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Section: Low-altitude Uav Image Matchingmentioning

confidence: 99%

“…To obtain the matching pairs as evenly distributed as possible, the divide-and-conquer and the tiling strategy are often adopted [40]. Images are split into blocks, and features are extracted and matched from the corresponding blocks.…”

Section: Low-altitude Uav Image Matchingmentioning

confidence: 99%

Mini-Unmanned Aerial Vehicle-Based Remote Sensing: Techniques, applications, and prospects

Xiang

Xia

Zhang

2019

IEEE Geosci. Remote Sens. Mag.

163

View full text Add to dashboard Cite

show abstract

“…Second, the rough pose of each image can be calculated by using camera mounting angles, because they are the approximate respective displacements between UAV platforms and oblique cameras. The detailed process for image pose calculation is presented in Jiang and Jiang (2017b). By using the computed image poses, ground coverage of images for the dataset is illustrated in Figure 4, which are the projection of image corners on the average elevation plane of the test site.…”

Section: Datasetmentioning

confidence: 99%

Hierarchical motion consistency constraint for efficient geometrical verification in UAV stereo image matching

Jiang

2018

ISPRS Journal of Photogrammetry and Remote Sensing

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“…Initial photogrammetric processing of these multiview angle images through aerial triangulation approaches produced unsatisfactory results, due to the complexity of oblique images, which contain vastly different-perspective viewing angles, large-scale differences within individual images, and occlusion of objects within a scene [40][41][42][43]. Development of unique processing solutions that maintain the rigorous standards of aerial triangulation while capitalizing on the advantages presented by airborne oblique views continues to be a key topic in photogrammetric research [44][45][46].…”

Section: Introductionmentioning

confidence: 99%

Enhancing UAV–SfM 3D Model Accuracy in High-Relief Landscapes by Incorporating Oblique Images

2019

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Complex landscapes with high topographic relief and intricate geometry present challenges for complete and accurate mapping of both lateral (x, y) and vertical (z) detail without deformation. Although small uninhabited/unmanned aerial vehicles (UAVs) paired with structure-from-motion (SfM) image processing has recently emerged as a popular solution for a range of mapping applications, common image acquisition and processing strategies can result in surface deformation along steep slopes within complex terrain. Incorporation of oblique (off-nadir) images into the UAV–SfM workflow has been shown to reduce systematic errors within resulting models, but there has been no consensus or documentation substantiating use of particular imaging angles. To address these limitations, we examined UAV–SfM models produced from image sets collected with various imaging angles (0–35°) within a high-relief ‘badland’ landscape and compared resulting surfaces with a reference dataset from a terrestrial laser scanner (TLS). More than 150 UAV–SfM scenarios were quantitatively evaluated to assess the effects of camera tilt angle, overlap, and imaging configuration on the precision and accuracy of the reconstructed terrain. Results indicate that imaging angle has a profound impact on accuracy and precision for data acquisition with a single camera angle in topographically complex scenes. Results also confirm previous findings that supplementing nadir image blocks with oblique images in the UAV–SfM workflow consistently improves spatial accuracy and precision and reduces data gaps and systematic errors in the final point cloud. Subtle differences among various oblique camera angles and imaging patterns suggest that higher overlap and higher oblique camera angles (20–35°) increased precision and accuracy by nearly 50% relative to nadir-only image blocks. We conclude by presenting four recommendations for incorporating oblique images and adapting flight parameters to enhance 3D mapping applications with UAV–SfM in high-relief terrain.

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On-Board GNSS/IMU Assisted Feature Extraction and Matching for Oblique UAV Images

Cited by 44 publications

References 29 publications

Mini-Unmanned Aerial Vehicle-Based Remote Sensing: Techniques, applications, and prospects

Mini-Unmanned Aerial Vehicle-Based Remote Sensing: Techniques, applications, and prospects

Hierarchical motion consistency constraint for efficient geometrical verification in UAV stereo image matching

Enhancing UAV–SfM 3D Model Accuracy in High-Relief Landscapes by Incorporating Oblique Images

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