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Post-processing Method of Point Cloud Extracted Based on Image Matching for Unmanned Aerial Vehicle Image (무인항공기 영상을 위한 영상 매칭 기반 생성 포인트 클라우드의 후처리 방안 연구)

  • Rhee, Sooahm;Kim, Han-gyeol;Kim, Taejung
    • 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.

Individual Ortho-rectification of Coast Guard Aerial Images for Oil Spill Monitoring (유출유 모니터링을 위한 해경 항공 영상의 개별정사보정)

  • Oh, Youngon;Bui, An Ngoc;Choi, Kyoungah;Lee, Impyeong
    • Korean Journal of Remote Sensing
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    • v.38 no.6_1
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    • pp.1479-1488
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    • 2022
  • Accidents in which oil spills occur intermittently in the ocean due to ship collisions and sinkings. In order to prepare prompt countermeasures when such an accident occurs, it is necessary to accurately identify the current status of spilled oil. To this end, the Coast Guard patrols the target area with a fixed-wing airplane or helicopter and checks it with the naked eye or video, but it was difficult to determine the area contaminated by the spilled oil and its exact location on the map. Accordingly, this study develops a technology for direct ortho-rectification by automatically geo-referencing aerial images collected by the Coast Guard without individual ground reference points to identify the current status of spilled oil. First, meta information required for georeferencing is extracted from a visualized screen of sensor information such as video by optical character recognition (OCR). Based on the extracted information, the external orientation parameters of the image are determined. Images are individually orthorectified using the determined the external orientation parameters. The accuracy of individual orthoimages generated through this method was evaluated to be about tens of meters up to 100 m. The accuracy level was reasonably acceptable considering the inherent errors of the position and attitude sensors, the inaccuracies in the internal orientation parameters such as camera focal length, without using no ground control points. It is judged to be an appropriate level for identifying the current status of spilled oil contaminated areas in the sea. In the future, if real-time transmission of images captured during flight becomes possible, individual orthoimages can be generated in real time through the proposed individual orthorectification technology. Based on this, it can be effectively used to quickly identify the current status of spilled oil contamination and establish countermeasures.

Change Detection Using Deep Learning Based Semantic Segmentation for Nuclear Activity Detection and Monitoring (핵 활동 탐지 및 감시를 위한 딥러닝 기반 의미론적 분할을 활용한 변화 탐지)

  • Song, Ahram;Lee, Changhui;Lee, Jinmin;Han, Youkyung
    • Korean Journal of Remote Sensing
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    • v.38 no.6_1
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    • pp.991-1005
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    • 2022
  • Satellite imaging is an effective supplementary data source for detecting and verifying nuclear activity. It is also highly beneficial in regions with limited access and information, such as nuclear installations. Time series analysis, in particular, can identify the process of preparing for the conduction of a nuclear experiment, such as relocating equipment or changing facilities. Differences in the semantic segmentation findings of time series photos were employed in this work to detect changes in meaningful items connected to nuclear activity. Building, road, and small object datasets made of KOMPSAT 3/3A photos given by AIHub were used to train deep learning models such as U-Net, PSPNet, and Attention U-Net. To pick relevant models for targets, many model parameters were adjusted. The final change detection was carried out by including object information into the first change detection, which was obtained as the difference in semantic segmentation findings. The experiment findings demonstrated that the suggested approach could effectively identify altered pixels. Although the suggested approach is dependent on the accuracy of semantic segmentation findings, it is envisaged that as the dataset for the region of interest grows in the future, so will the relevant scope of the proposed method.

A Study on Ways to Activate School Trips and Field Trips Through Focus Group Interview : Focus on the Gyeongsangbuk-do Area (경상북도 수학여행과 현장체험학습 활성화 방안 연구: Focus Group Interview(FGI)를 통한 질적 연구)

  • Nam, Tae-Suk;Hur, Jong-Guk
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.6
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    • pp.29-42
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    • 2020
  • This study, we will identify and analyze the current status and trends of successful field trips and field experience learning in Korea to improve the future operation of the center so that the purpose of enhancing the regional economic ripple effect in Gyeongsangbuk-do and regaining its reputation as a school trip mecca and No. 1 location can be found. This study conducted qualitative research through FGI (Focus Group Interview) on accommodation managers, tourism-related stakeholders, tourism officials stakeholders, and tourism professors in order to explore new concepts of field trips and field experience learning in 23 cities and counties in Gyeongsangbuk-do, and ways to develop and promote tour programs based on the importance of experience. Through the FGI (Focus Group Interview) analysis results, problems related to improvement of accommodation, food and beverage, safety and service, cooperation among local tourism officials, enhancement of satisfaction with student group visitors linked to unique tourism resources and promotion, diagnosis and introduction of acceptance posture, and management of local residents, local tourism officials and public officials in Gyeongsangbuk-do needed to present the direction and opportunity of tourism policies in Gyeongsangbuk-do.

A Ship-Wake Joint Detection Using Sentinel-2 Imagery

  • Woojin, Jeon;Donghyun, Jin;Noh-hun, Seong;Daeseong, Jung;Suyoung, Sim;Jongho, Woo;Yugyeong, Byeon;Nayeon, Kim;Kyung-Soo, Han
    • Korean Journal of Remote Sensing
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    • v.39 no.1
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    • pp.77-86
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    • 2023
  • Ship detection is widely used in areas such as maritime security, maritime traffic, fisheries management, illegal fishing, and border control, and ship detection is important for rapid response and damage minimization as ship accident rates increase due to recent increases in international maritime traffic. Currently, according to a number of global and national regulations, ships must be equipped with automatic identification system (AIS), which provide information such as the location and speed of the ship periodically at regular intervals. However, most small vessels (less than 300 tons) are not obligated to install the transponder and may not be transmitted intentionally or accidentally. There is even a case of misuse of the ship'slocation information. Therefore, in this study, ship detection was performed using high-resolution optical satellite images that can periodically remotely detect a wide range and detectsmallships. However, optical images can cause false-alarm due to noise on the surface of the sea, such as waves, or factors indicating ship-like brightness, such as clouds and wakes. So, it is important to remove these factors to improve the accuracy of ship detection. In this study, false alarm wasreduced, and the accuracy ofship detection wasimproved by removing wake.As a ship detection method, ship detection was performed using machine learning-based random forest (RF), and convolutional neural network (CNN) techniquesthat have been widely used in object detection fieldsrecently, and ship detection results by the model were compared and analyzed. In addition, in this study, the results of RF and CNN were combined to improve the phenomenon of ship disconnection and the phenomenon of small detection. The ship detection results of thisstudy are significant in that they improved the limitations of each model while maintaining accuracy. In addition, if satellite images with improved spatial resolution are utilized in the future, it is expected that ship and wake simultaneous detection with higher accuracy will be performed.

Prediction of Changes in Potential Distribution of Warm-Temperate and Subtropical Trees, Myrica rubra and Syzygium buxifolium in South Korea (남한에서 기후변화에 따른 난아열대 목본식물, Myrica rubra와 Syzygium buxifolium의 잠재분포 변화 예측)

  • Eun-Young, Yim;Hyun-kyu, Won;Jong-Seo, Won;Dana, Kim;Hyungjin, Cho
    • Ecology and Resilient Infrastructure
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    • v.9 no.4
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    • pp.282-289
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    • 2022
  • Analyzing the impact of climate change on the Korean Peninsula on the forest ecosystem is important for the management of subtropical forest bioresources. In this study, we collected location data and bioclimatic variables of the warm-temperate woody plant species, Myrica rubra and Cyzygium buxifolium, and applied the MaxEnt model based on the collected data to estimate the potential distribution area. Precipitation and temperature seasonality in the warmest quarter were the main environmental factors that determined the distribution of M. rubra, and the main environmental factors for S. buxifolium were precipitation in the warmest quarter and precipitation in the wettest quarter. The results of the MaxEnt model by administrative district, the M. rubra showed an area increase rate of 4.6 - 17.7% in the SSP2-4.5 climate change scenario and 13.8 - 30.5% in the SSP5-8.5 climate change scenario. S. buxifolium showed area increase rates of 4.8 - 32.2% in the SSP2-4.5 climate change scenario and 12.9 - 48.6% in the SSP5-8.5 climate change scenario. This study is meaningful in establishing a database and identifying future potential distribution areas of warm and subtropical plants by applying climate change scenarios.

A Study on the Optimal Site Selection by Constraint Mapping and Park Optimization for Offshore Wind Farm in the Southwest Coastal Area (서남해 연안 해상풍력 발전단지 지리적 적합지 선정 및 최적배치에 관한 연구)

  • Jung-Ho, Kim;Geon-Hwa, Ryu;Hong-Chul, Son;Young-Gon, Kim;Chae-Joo, Moon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.6
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    • pp.1145-1156
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    • 2022
  • In order to effectively secure site suitability for the development of large-scale offshore wind farms, it is essential to minimize the environmental impact of development and analyze the conflicts of benefit between social, ecological, and economic core values. In addition, a preliminary review of site adequacy must be preceded in order not to collide with other used areas in the marine spatial plan. In addition, it is necessary to conduct local meteorological characteristics analysis including wind resources near Jeollanam-do area before project feasibility study. Therefore, wind resource analysis was performed using the observation data of the meteorological mast installed in Wangdeungnyeo near Anmado, Yeonggwang, and the optimal site was selected after excluding geographical constraints related to the location of the offshore wind farm. In addition, the annual energy production was calculated by deriving the optimal wind farm arrangement results suitable for the local wind resources characteristics based on WindSim SW, and it is intended to be used as basic research data for site discovery and selection of suitable sites for future offshore wind farm projects.

Analysis of the minimum exposure position according to the additional filtration plate (부가여과판에 따른 최소한의 피폭 위치에 대한 분석)

  • Tae-Ri, Kim;Min-Ji, Kang;Sang-Hee, La;Yun-Jeong, Shin;Tae-Gyeom, Hong;Min-Cheol, Jeon
    • Journal of Advanced Technology Convergence
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    • v.1 no.2
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    • pp.11-17
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    • 2022
  • The purpose is to find out where medical workers can receive the minimum radiation does in clinical. In order to sett RQR standard quality of radiation, put a Al 1.5mm filter(row and column: 10 cm × 10 cm) on X-ray tube. Al 0.9 mm, Cu 0.3 mm, Ni 0.3 mm used as a filter. The Acrylic phantom were set to 13.1 cm, 18.5 cm, 21.1 cm. by the object thickness was different. As a results, when we use Al 0.9 mm, 1853 nSv was the highest numeral. It is a point of anode low 50 cm, when we use 13.1 cm Acrylic phantom. When we use Cu 0.3 mm, 173 nSv was the lowest numeral. It is a point of anode low 150 cm, when we use 13.1 cm Acrylic Phantom. In this study, it was confirmed that the spatial scattering dose decreased as the distance from the X-ray tube increased. It is considered that more studies on the exposure of scattered doses are needed in the future.

Study on Effective Airworthiness Certification Methods and Airworthiness Certification Standards for Aerial Launch Platform using Large Civil Aircraft (대형 민간항공기를 활용한 공중발사 플랫폼의 효율적 감항인증방안 및 감항인증기준 연구)

  • Oh, Yeon-Kyeong;Kim, Suho;Yoo, Min Young;Choi, Seong Hwan;Seo, Hyun Woo
    • Journal of Aerospace System Engineering
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    • v.16 no.4
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    • pp.28-34
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    • 2022
  • In 2021, Virgin Orbit converted a 747-400 aircraft into an air launch platform, and successfully launched it twice in February and July. Compared to the existing ground launch, interest in the air launch is increasing due to its great utility, such as its independence from the launch location or weather, cost reducing factor, shorter launch preparation time, and its benefit pursuant to altitude and speed. Additionally, as small satellites have similar performance to mid/large satellites in the past due to the miniaturization and precision of electronic equipment, small satellite launches are expected to dominate in the future. In this paper, institutional certification methods such as domestic, overseas, civilian and military airworthiness certification regulations/procedures are reviewed to ensure flight safety of aerial projectiles using large domestic civil aircraft, and applicable civil and military airworthiness certification technology standards are reviewed and analyzed. Additionally, we will review and suggest effective airworthiness certification application plans that reflect the reality, and present airworthiness certification standards (draft) for aerial launch vehicles, by analyzing applicable airworthiness certification technical standards when remodeling aerial launch vehicles.

Anticancer Effect of Novel Peptide from Abalone (Haliotis discus hannai) based on Next Generation Sequencing Data (차세대염기서열분석 데이터 기반으로 선별한 전복(Haliotis discus hannai) 유래 신규 펩타이드의 항암 효과)

  • Moon, Hyunhye;Hwang-bo, Jeon;Veerappan, Karpagam;Natarajan, Sathishkumar;Chung, Hoyong;Park, Junhyung
    • Journal of Marine Life Science
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    • v.7 no.1
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    • pp.15-20
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    • 2022
  • Glioblastoma is one of the highly aggressive central nervous system tumors and it is difficult to treat owing its anatomical location. Peptides are novel class of drugs which has the potential to cross the blood brain barrier and exerts its anti-tumor activity. Here, we discovered a novel peptide from abalone (Haliotis discus hannai) next generation sequencing (NGS) data and tested its anticancer effect on glioblastoma cell line SNU-489. The anticancer activity was measured using a cytotoxicity assay in a time and dose-dependent manner. A concentration and time dependent increase in the cytotoxicity was seen in cells treated with the novel peptide. The highest cytotoxicity rate of about 67% was observed in SNU-489 cells treated with 200 µM peptide for 48 hrs. However, the cytotoxic effect was not or less observed in a normal skin cell line HaCaT at similar concentration, thus, evident of peptide's cell specific anticancer activity. In addition, the gene expression level of necroptosis-related genes was analyzed by qRT-PCR to elucidate the anticancer mechanism of the novel peptide. RIPK3 expression was significantly increased by 9.6-fold in 200 µM of novel peptide treatment group, and MLKL expression level was significantly elevated by 2-fold in 100 µM treated group compared to the control group. Therefore, this study confirmed that the novel abalone-derived peptide has anticancer potency, and it causes cancer cell death through the necroptosis mechanism. Collectively, these results suggest that the novel peptide could be candidate anticancer agent for the treatment of glioblastoma in the future.