Availability Evaluation for Generation of Geospatial Information using Fixed Wing UAV

Park, Young Jin; Jung, Kyu-In

doi:10.7319/kogsis.2014.22.4.159

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…They also acquire images rapidly. Due to these advantages, the mapping industry has developed a great interest in large-scale map production using UAVs [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

An Optimal Image–Selection Algorithm for Large-Scale Stereoscopic Mapping of UAV Images

Lim¹,

Seo²,

Kim³

et al. 2021

Preprint

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Recently, the mapping industry has been focusing on the possibility of large-scale mapping from unmanned aerial vehicles (UAVs) owing to advantages such as easy operation and cost reduction. In order to produce large-scale maps from UAV images, it is important to obtain precise orientation parameters. For this, various techniques have been developed and are included in most of the commercial UAV image processing software. For mapping, it is equally important to select images that can cover a region of interest (ROI) with the fewest possible images. Otherwise, to map the ROI, one may have to handle too many images, and commercial software does not provide information needed to select images, nor does it explicitly explain how to select images for mapping. For these reasons, stereo mapping of UAV images in particular is time consuming and costly. In order to solve these problems, this study proposes a method to select images intelligently. We can select a minimum number of image pairs to cover the ROI with the fewest possible images. We can also select optimal image pairs to cover the ROI with the most accurate stereo pairs. We group images by strips, and generate the initial image pairs. We then apply an intelligent scheme to iteratively select optimal image pairs from the start to the end of an image strip. According to the results of the experiment, the number of images selected is greatly reduced by applying the proposed optimal image–composition algorithm. The selected image pairs produce a dense 3D point cloud over the ROI without any holes. For stereoscopic plotting, the selected image pairs were map the ROI successfully on a digital photogrammetric workstation (DPW), and a digital map covering the ROI is generated. The proposed method should contribute to time and cost reductions in UAV mapping.

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“…They also acquire images rapidly. Due to these advantages, the mapping industry has developed a great interest in large-scale map production using UAVs [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

An Optimal Image–Selection Algorithm for Large-Scale Stereoscopic Mapping of UAV Images

Lim¹,

Seo²,

Kim³

et al. 2021

Preprint

View full text Add to dashboard Cite

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“…UAV systems currently represent a low-cost in comparison to aircrafts, an agile and autonomous opportunity for various fields, and these systems may be useful as an alternative to satellites and aircrafts for forest inventory determination [14,21]. Moreover, as UAV system-based spatial data acquisition and analysis procedures have become more advanced, related research and business applications have become more common [22][23][24][25][26]. Previously, UAV-optical sensors were frequently installed, but following the recent development in UAV-based LiDAR sensors, it has become possible to construct forest point clouds on a small budget [14].…”

Section: Introductionmentioning

confidence: 99%

Developing UAV-Based Forest Spatial Information and Evaluation Technology for Efficient Forest Management

et al. 2020

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Forest spatial information is regularly established and managed as basic data for national forest planning and forest policy establishment. Among them, the grade of vegetation conservation shall be investigated and evaluated according to the value of vegetation conservation. As the collection of field data over large or remote areas is difficult, unmanned aerial vehicles (UAVs) are increasingly being used for this purpose. Consequently, there is a need for research on UAV-monitoring and three-dimensional (3D) image generation techniques. In this study, a new method that can efficiently collect and analyze UAV spatial data to survey and assess forests was developed. Both UAV-based and LiDAR imaging methods were evaluated in conjunction with the ground control point measurement method for forest surveys. In addition, by fusing the field survey database of each target site and the UAV optical and LiDAR images, the Gongju, Samcheok, and Seogwipo regions were analyzed based on deep learning. The kappa value showed 0.59, 0.47, and 0.78 accuracy for each of the sites in terms of vegetation type (artificial or natural), and 0.68, 0.53, and 0.62 accuracy in terms of vegetation layer structure. The results of comparative analysis with ecological natural maps by establishing vegetation conservation levels show that about 83.9% of the areas are consistent. The findings verified the applicability of this UAV-based approach for the construction of geospatial information on forests. The proposed method can be useful for improving the efficiency of the Vegetation Conservation Classification system and for conducting high-resolution monitoring in forests worldwide.

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“…따라서 공간정보 분야에 드론을 활용한 연구는 지속적으 로 수행되고 있다. 박영진(2014)은 고정익 무인항공기를 이용 해서 공간정보 구축의 활용성을 평가하였다 [3]. 윤부열(2014) 은 구축된 공간정보를 활용하기 위한 방안으로 통합운영 방안 을 제시하였으며 [4], 김덕인(2014)은 무인항공기를 이용하여 광범위한 지역의 모니터링 적용을 위한 연구를 수행하였다 [5].…”

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Development of Pre-flight Simulator to Improve The 3D Modeling Efficiency using UAV

Kim¹,

Kim²,

Jeon³

2020

dcs

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Unmanned Aerial Vehicle (UAV) is used in a variety of fields because there are no people on board. In particular, technologies for 3D modeling using UAV are being researched and developed. In 3D modeling using such an UAV, in order to save time and cost and improve the quality of output, a flight plan must be established in advance with the characteristics of the object to be model. However, it is difficult to find a simulator that can check the flight path and the product in advance with the characteristics of object. Therefore, in this study, a pre-flight simulator was developed to improve the efficiency of 3D modeling by applying point cloud data and LOD. In addition, to verify the performance of the simulator, the estimated product of the simulator and the actual product were compared.

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Availability Evaluation for Generation of Geospatial Information using Fixed Wing UAV

Cited by 6 publications

References 6 publications

An Optimal Image–Selection Algorithm for Large-Scale Stereoscopic Mapping of UAV Images

An Optimal Image–Selection Algorithm for Large-Scale Stereoscopic Mapping of UAV Images

Developing UAV-Based Forest Spatial Information and Evaluation Technology for Efficient Forest Management

Development of Pre-flight Simulator to Improve The 3D Modeling Efficiency using UAV

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