• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.9
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• pp.781-789
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• 2021

In this paper, we quantitatively analyzed the required UAV(Unmanned Aerial Vehicle) failure rate of small UAV (≤25kg) based on the harm to human caused by UAV crash to fly over the populated area. We compute the number of harm to human when UAV falls to the ground at certain descent point by using population density, car traffic, building to land ratio, number of floors of building data of urban area and UAV descent trajectory modeling. Based on this, the maximum allowable UAV failure rate is calculated to satisfy the Target Level of Safety(TLS) for each UAV descent point. Then we can generate the failure rate requirement in the form of map. Finally, we divide UAV failure rate into few categories and analyze the possible flight area for each failure rate categories. Considering the Youngwol area, it is analyzed that the UAV failure rate of at least 10^-4 (failure/flight hour) is required to access the residential area.

• Journal of Advanced Navigation Technology
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• v.26 no.5
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• pp.312-318
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• 2022

Currently, the Republic of Korea is facing the problem of a decrease in military service resources due to the demographic cliff, and is pursuing military restructuring and changes in the military force structure in order to respond to this. In this situation, the Army is pushing forward the deployment of a drone-bot combat system that will lead the future battlefield. The battlefield of the future will be changed into an integrated battlefield concept that combines command and control, surveillance and reconnaissance, and precision strike. According to these changes, unmanned combat system, including dronebots, will be widely applied to combat situations that are high risk and difficult for humans to perform in actual combat. In this paper, as one of the countermeasures to these changes, autonomous behavior software with a BDI architecture-based decision-making system was developed. The autonomous behavior software applied a framework structure to improve applicability to multiple models. Its function was verified in a PC-based environment by assuming that the target UAV is a battalion-level surveillance and reconnaissance UAV.

• The Korean Journal of Pesticide Science
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• v.12 no.4
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• pp.351-356
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• 2008

This study was carried out to assess adoptability and environment impacts of ultra low volume (ULV) pesticide spray solutions aerially sprayed by manned-helicopter. Uniformity of the deposited amount in paddy fields was uneven, showing $3.1{\sim}4.7$ times differences among surveyed sites. Drifting distance of aerially sprayed droplets from the target area was within 30 m in the wind direction and 20 m in the opposite direction. Most of the aerially sprayed pesticides were deposited in/on rice plants, while those in submerged paddy water and soil were relatively small. The degradation rate of the deposited pesticides was in the decreasing order of rice plants, paddy water and soil. Soil residues of pesticides in the aerially sprayed rice paddy fields after harvest ranged from non-detected to 0.201 mg/kg. However, no pesticides were detected in brown rice and rice straw. No phytotoxic symtoms were observed in rice plants and nearby non-target crops by the sprayed pesticides.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.6B
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• pp.387-397
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• 2012

In this study, an ecological fragmentation improvement effect from different riverine ecobelt width was analyzed. The target river for this study is the Hongcheon river in Kangwondo. This section of 11 km among the Hongchenon river was reported to be seriously fragmented in the previous literatures. The Hongcheon river of 11 km was divided longitudinally into subsections of 1 km. The analysis through map and aerial photograph as well as field surveys were performed in 11 subsections(A-K). Using the fragmentation index, the connectivity fragmentation such as river bank, road, and land use and the ecological functional fragmentation were evaluated. The results showed that I-section has the highest fragmentation rate. The Hongcheon river in the present status without ecobelt was analyzed to has the fragmentation of 2nd rate from the mean fragmentation value of 11-subsections. Also, when the riverine ecobelt of 10 m-50 m was restored, the improvement effect of connectivity fragmentation was relatively small, while for the ecological fragmentation, the improvement effect of 12.4-25.1% was predicted. Also, the ecobelts of 10 m and 30 m were evaluated to have a relatively great improvement effect. Especially, for the ecobelt of 30m width, the fragmentation rate was mitigated form 2nd rate to 3rd rate.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.31 no.2
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• pp.111-119
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• 2013

It is essential and fundamental to extract boundary information of target object via massive three-dimensional point data acquired from laser scanner. Especially extracting boundary information of manmade features such as buildings is quite important because building is one of the major components consisting complex contemporary urban area, and has artificially defined shape. In this research, extended ${\chi}$-algorithm using geometry information of point data was proposed to extract boundary information of building from three-dimensional point data consisting building. The proposed algorithm begins with composing Delaunay triangulation process for given points and removes edges satisfying specific conditions process. Additionally, to make whole boundary extraction process efficient, we used Sweep-hull algorithm for constructing Delaunay triangulation. To verify the performance of the proposed extended ${\chi}$-algorithm, we compared the proposed algorithm with Encasing Polygon Generating Algorithm and ${\alpha}$-Shape Algorithm, which had been researched in the area of feature extraction. Further, the extracted boundary information from the proposed algorithm was analysed against manually digitized building boundary in order to test accuracy of the result of extracting boundary. The experimental results showed that extended ${\chi}$-algorithm proposed in this research proved to improve the speed of extracting boundary information compared to the existing algorithm with a higher accuracy for detecting boundary information.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.4B
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• pp.383-391
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• 2011

In this study, an evaluation method was proposed to determine the restoration section in the riverine ecobelt project. The target river for this study is the Hongcheon river in Kangwon-do. The Hongcheon river of 96 km was divided longitudinally into subsections of 2 km. The analysis through map and aerial photograph as well as field surveys were performed in 48-sub-sections. The fragmentation items were classified into connectivity and ecological functionality. The connectivity fragmentation was also divided into two items: the area discontinuity of the land use and the line discontinuity of river bank and road. Also, the ecological functional fragmentation was evaluated by using the items of river channel, river bed, vegetation, and the obstruction of river flow. These items was modified from those in the previous literature. From map analyses and field surveys, the fragmentation score was kept with each items in 48 sub-sections of Hongcheon river. The fragmentation rate was made from the total score in each section. The results showed that sections from F1 to G2 was evaluated to have high rates of all connectivity and functionality fragmentation of 1st or 2nd rate. Other sections have high connectivity fragmentation of 2nd rate, but low functional fragmentation. Thus, these sections are evaluated to be excludible in restoration site. This study seems to make a contribution to evaluate the fragmented sections for the riverine ecobelt project.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.35 no.3
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• pp.145-154
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• 2017

In recent years, demand for 1 / 1,000 digital map production has increased in various fields such as construction and urban planning. As a result, the use of low-cost non-metric cameras that replace expensive aerial photogrammetry equipment is required. In Korea, researches are being continuously carried out to produce a large scale digital map by photographing a small target area with a non-metric camera. However, due to the limitation of the accuracy of the non-metric camera, it is difficult to do digital mapping with stereoscopic photographs. In this study, we tried to verify the possibility of large-scale digital mapping to utilize non-metric camera for public survey. For this purpose, the accuracy of the digital mapping results of the non-metric camera and the results of the DMC camera were compared and analyzed. After performing in-situ self-calibration including 8 standard additional parameters, we plotted to a scale of 1/1,000 and confirmed that the RMSE is suitable for public survey accuracy of ${\pm}0.145m$ in horizontal and ${\pm}0.153$ m in vertical.

• Korean Journal of Remote Sensing
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• v.24 no.2
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• pp.213-222
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• 2008

Although hyperspectral sensing data have shown great potential to derive various surface information that is not usually available from conventional multispectral image, the acquisition of proper hyperspectral image data are often limited. To use ground-based hyperspectral camera image for remote sensing studies, radiometric calibration should be prerequisite. The objective of this study is to develop radiometric calibration procedure to convert image digital number (DN) value to surface reflectance for the 120 bands ground-based hyperspectral camera. Hyperspectral image and spectral measurements were simultaneously obtained from the experimental target that includes 22 different surface materials of diverse spectral characteristics at wavelength range between 400 to 900 nm. Calibration coefficients to convert image DN value to at-sensor radiance were initially derived from the regression equations between the sample image and spectral measurements using ASD spectroradiometer. Assuming that there is no atmospheric effects when the image acquisition and spectral measurements were made at very close distance in ground, we were also able to derive calibration coefficients that directly transform DN value to surface reflectance. However, these coefficients for deriving reflectance values should not be applied when the camera is used for aerial image that contains significant effect from atmosphere and further atmospheric correction procedure is required in such case.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1025-1034
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• 2022

In this paper, we propose a post-processing method through interpolation of hole regions that occur when extracting point clouds. When image matching is performed on stereo image data, holes occur due to occlusion and building façade area. This area may become an obstacle to the creation of additional products based on the point cloud in the future, so an effective processing technique is required. First, an initial point cloud is extracted based on the disparity map generated by applying stereo image matching. We transform the point cloud into a grid. Then a hole area is extracted due to occlusion and building façade area. By repeating the process of creating Triangulated Irregular Network (TIN) triangle in the hall area and processing the inner value of the triangle as the minimum height value of the area, it is possible to perform interpolation without awkwardness between the building and the ground surface around the building. A new point cloud is created by adding the location information corresponding to the interpolated area from the grid data as a point. To minimize the addition of unnecessary points during the interpolation process, the interpolated data to an area outside the initial point cloud area was not processed. The RGB brightness value applied to the interpolated point cloud was processed by setting the image with the closest pixel distance to the shooting center among the stereo images used for matching. It was confirmed that the shielded area generated after generating the point cloud of the target area was effectively processed through the proposed technique.

• The Korea Journal of Herbology
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• v.24 no.4
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• pp.115-120
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• 2009

Objectives : Due to the morphological similarity and frequent occurrence of intermediate forms as well as morphological variations of aerial part, the correct identification between Rhei Radix et Rhizoma and Rhei Undulatai Rhizoma is very difficult. To develop a reliable method for correct identification and improving the quality standards of Rhei Radix et Rhizoma and Rhei Undulatai Rhizoma, we analyzed RAPD and developed SCAR marker. Methods : To amplify target DNA at the genomic level, 32 Operon 10-mer random primers were applied with four Rheum species, R. officinale, R. palmatum, R. tanguticum and R. undulatum. The nucleotide sequences were determined and species-specific primers were prepared depending on the species-specific RAPD amplicons after subcloned into the pGEM-Teasy vector. To develop the SCAR markers, species-specific PCR amplification and multiplex-PCR were carried out using the single species-specific primer pairs and combinations of them, respectively. Results : We used RAPD analysis of four Rheum plant species to obtain several species-specific RAPD amplicons. From nucleotide sequences of these RAPD amplicons, we developed two SCAR markers that amplified 314 bp and 390 bp DNA fragments in only R. undulatum but not in R. officinale, R. palmatum, R. tanguticum and R. undulatum, for distinguishing Rhei Undulatai Rhizoma and Rhei Radix et Rhizoma. Furthermore, we established SCAR markers for the simultaneous discrimination of the three species within a single reaction by using multiplex-PCR. Conclusions : These genetic markers can be used for the efficient discrimination of plants species and commercial herbal medicines between Rhei Undulatai Rhizoma and Rhei Radix et Rhizoma, to ultimately prevent indiscriminate distribution and prescription of these herbal medicines.