• Title/Summary/Keyword: Aerial separation

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Landcover classification by coherence analysis from multi-temporal SAR images (다중시기 SAR 영상자료 긴밀도 분석을 통한 토지피복 분류)

  • Yoon, Bo-Yeol;Kim, Youn-Soo
    • Aerospace Engineering and Technology
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    • v.8 no.1
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    • pp.132-137
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    • 2009
  • This study has regard to classification by using multi-temporal SAR data. Multi-temporal JERS-1 SAR images are used for extract the land cover information and possibility. So far, land cover information extracted by high resolution aerial photo, satellite images, and field survey. This study developed on multi-temporal land cover status monitoring and coherence information mapping can be processing by L band SAR image. From July, 1997 to October, 1998 JERS SAR images (9 scenes) coherence values are analyzed and then extracted land cover information factors, so on. This technique which forms the basis of what is called SAR Interferometry or InSAR for short has also been employed in spaceborne systems. In such systems the separation of the antennas, called the baseline is obtained by utilizing a single antenna in a repeat pass.

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Phytochemical Constituents of Phyllanthus urinaria

  • Cha, Joon Min;Park, Jong Eel;Choi, Sang Un;Lee, Kang Ro
    • Natural Product Sciences
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    • v.26 no.2
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    • pp.151-157
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    • 2020
  • Extensive column chromatography separation of the MeOH extract from the aerial parts of Phyllanthus urinaria afforded seventeen compounds (1 - 17). The structures of the compounds were elucidated by physicochemical and spectroscopic methods to be 5'-β-D-glucopyranosyloxyjasmonic butyl ester (1), (+)-cucurbic acid (2), dendranthemoside B (3), boscialin 4'-O-β-D-glucoside (4), 4,5-dihydroblumenol A (5), (6R,9R)-megastigman-4-ene-9,13-diol (6), (3S,5R,6S,9R)-3,6-dihydroxy-5,6-dihydro-β-ionol (7), (6S,9R)-roseoside (8), mallophenol B (9), icariside B5 (10), corchoinoside B (11), canangaionoside (12), 5,6-epoxy-3-hydroxy-7-megastigmen-9-one (13), icariside B2 (14), (7E)-2β,3β-dihydroxy-megastigm-7-en-9-one (15), betulalbuside A (16), and loliolide (17). The compounds 1, and 3 - 16 were isolated for the first time from this plant. The absolute stereochemistry of compound 1 was newly determined. The isolated compounds were tested for cytotoxic activity against four human tumor cell lines in vitro using a Sulforhodamin B bioassay, but all the compounds showed weak cytotoxic activities.

Studies on the Cytotoxic Constituent of Saururus chinensis$(L_{OUR.})\;B_{AILL.}$ (삼백초의 세포독성 성분연구)

  • Park, Si-Kyung;Oh, Gab-Jin;Bae, Choon-Il;Kim, Hyun-Jong;Han, Wan-Sik;Chung, Sun-Gan;Cho, Eui-Whan
    • YAKHAK HOEJI
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    • v.41 no.6
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    • pp.704-708
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    • 1997
  • In our search for bioactive natural products with antitumor activity, we have valuated various extracts of Saururi Herba (Saururaceae), which has been used in traditional medici ne for edema, beriberi, jaundice, turbid urine, carbuncle and furuncle. The hexane extract of the aerial part of this plant was found to show a potent cytotoxicity against several kinds of cultured human solid tumor cell lines (AGS, A549, HCT15, SKOV3, HEP-3B) in vitro. Using cytotoxicity-guided chromatographic separation of the hexane extract, cytotoxic constituent: 10-aminomethyl-3-hydroxy-4-methoxyphenanthrene-carboxylic acid lactam, was isolated and structurally identified by physico-chemical properties and spectroscopic evidences.

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Study on Applicability of Cloth Simulation Filtering Algorithm for Segmentation of Ground Points from Drone LiDAR Point Clouds in Mountainous Areas (산악지형 드론 라이다 데이터 점군 분리를 위한 CSF 알고리즘 적용에 관한 연구)

  • Seul Koo ;Eon Taek Lim ;Yong Han Jung ;Jae Wook Suk ;Seong Sam Kim
    • Korean Journal of Remote Sensing
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    • v.39 no.5_2
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    • pp.827-835
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    • 2023
  • Drone light detection and ranging (LiDAR) is a state-of-the-art surveying technology that enables close investigation of the top of the mountain slope or the inaccessible slope, and is being used for field surveys in mountainous terrain. To build topographic information using Drone LiDAR, a preprocessing process is required to effectively separate ground and non-ground points from the acquired point cloud. Therefore, in this study, the point group data of the mountain topography was acquired using an aerial LiDAR mounted on a commercial drone, and the application and accuracy of the cloth simulation filtering algorithm, one of the ground separation techniques, was verified. As a result of applying the algorithm, the separation accuracy of the ground and the non-ground was 84.3%, and the kappa coefficient was 0.71, and drone LiDAR data could be effectively used for landslide field surveys in mountainous terrain.

Unsupervised Classification of Forest Vegetation in the Mt. Wolak Experimental Forest Using Landsat Thematic Mapper Data (Landsat Thematic Mapper 화상자료를 이용한 월악산 지역 산림식생의 무감독분류)

  • Lee, Sang Hee;Park, Jae Hyeon;Lee, Joon Woo;Kim, Je Su
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.4 no.2
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    • pp.36-44
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    • 2001
  • The main purpose of this study was to classify forest vegetation effectively using Landsat Thematic Mapper data(June, 1994) in mountainous region. The research area was the Mt. Wolak Experimental Forest of Chungbuk National University, near Chungju and Jecheon city, Chungcheongbuk-do. To classify forest vegetation effectively, Normalized Difference Vegetation Index(NDVI) was used to reduce topographic effects. This NDVI was modified and transformed to the value of 0 to 255, and then the modified values were combined with other Landsat Thematic Mapper bands. To classify forest and land cover types, unsupervised classification method was used. The results of this study are summarized as follows. 1. Combinations of band "3, 5, NDVI" in Landsat Thematic Mapper data showed a good separation with high accuracy. The expected classification accuracy was 95.1% in Landsat Thematic Mapper data. 2. The Land Cover types were classified into six groups : coniferous forest, deciduous forest, mixed forest, paddy and grass, non-forest, and other undetectable areas. As these classified results were compared with the reconnaissance survey and aerial black and white infrared photographs, the overall classification accuracy was 76.5% in Landsat Thematic Mapper data. 3. The portion of non-forest in Mt. Wolak area was 1.9%. The percentages of coniferous, deciduous and mixed forests were 30.9%, 35.7% and 26.4%, respectively. 4. As these classified results were compared with other reference data, the percentages of coniferous, deciduous and mixed forests increased, but the portion of non-forest was exceedingly diminished. These differences are thought to be from the different research method and the different season of received Landsat Thematic Mapper data.

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A Comparative Analysis between Photogrammetric and Auto Tracking Total Station Techniques for Determining UAV Positions (무인항공기의 위치 결정을 위한 사진 측량 기법과 오토 트래킹 토탈스테이션 기법의 비교 분석)

  • Kim, Won Jin;Kim, Chang Jae;Cho, Yeon Ju;Kim, Ji Sun;Kim, Hee Jeong;Lee, Dong Hoon;Lee, On Yu;Meng, Ju Pil
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.35 no.6
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    • pp.553-562
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    • 2017
  • GPS (Global Positioning System) receiver among various sensors mounted on UAV (Unmanned Aerial Vehicle) helps to perform various functions such as hovering flight and waypoint flight based on GPS signals. GPS receiver can be used in an environment where GPS signals are smoothly received. However, recently, the use of UAV has been diversifying into various fields such as facility monitoring, delivery service and leisure as UAV's application field has been expended. For this reason, GPS signals may be interrupted by UAV's flight in a shadow area where the GPS signal is limited. Multipath can also include various noises in the signal, while flying in dense areas such as high-rise buildings. In this study, we used analytical photogrammetry and auto tracking total station technique for 3D positioning of UAV. The analytical photogrammetry is based on the bundle adjustment using the collinearity equations, which is the geometric principle of the center projection. The auto tracking total station technique is based on the principle of tracking the 360 degree prism target in units of seconds or less. In both techniques, the target used for positioning the UAV is mounted on top of the UAV and there is a geometric separation in the x, y and z directions between the targets. Data were acquired at different speeds of 0.86m/s, 1.5m/s and 2.4m/s to verify the flight speed of the UAV. Accuracy was evaluated by geometric separation of the target. As a result, there was an error from 1mm to 12.9cm in the x and y directions of the UAV flight. In the z direction with relatively small movement, approximately 7cm error occurred regardless of the flight speed.

Effects of Wing Twist on Longitudinal Stability of BWB UCAV (날개의 비틀림이 동체-날개 융합익형 무인전투기의 종안정성에 미치는 영향에 대한 연구)

  • Ban, Seokhyun;Lee, Jihyeong;Kim, Sangwook;Cho, Jinsoo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.46 no.1
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    • pp.1-9
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    • 2018
  • Lambda wing type Unmanned Combat Aerial Vehicle(UCAV) which adopts Blended Wing Body(BWB) has relatively less drag and more stealth performance than conventional aircraft. However, Pitching moment is rapidly increased at a specific angle of attack affected by leading edge vortex due to leading edge sweep angle. Wind tunnel testing and numerical analysis were carried out with UCAV 1303 configuration on condition of 50 m/s of flow velocity, $-4^{\circ}{\sim}28^{\circ}$ of the range of angle-of-attack. The effect of wing twist for longitudinal stability at the various angles of attack was verified in this study. When negative twist is applied on the wing, Pitch-break was onset at higher angle of attack due to delayed flow separation on outboard of the wing. On the other hand, pitch-break was onset at lower angle of attack and lift-to-drag ratio was increased when positive twist is applied on the wing.

Studies on the Application of Remote Sensing Technique to Forestry (임업(林業)에 있어서 원격탐사술(遠隔探査術)의 적용방법(適用方法)에 관(關)한 연구(硏究))

  • Kim, Kap Duk
    • Journal of Korean Society of Forest Science
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    • v.76 no.1
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    • pp.41-50
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    • 1987
  • The various conditions of photographs, especially kinds of films, combinated filters and seasons are important factors for forestry purpose aerial photography. In this paper the variations of tones were compared between color and color infrared, panchromatic black and white and infrared black and white, and among false color photographic images created by using 3 kinds of filters when prints are made. Color infrared film was good for identifying tree species, for its spectral signatures had a greater range of tones and hues than color signatures. In that case taken in May were more effective than taken April. False color photographs were not so good as color photographs because they were mostly dark and indistinct. Infrared black and white film with medium red filter showed potential for separating broad-leaved forests from conifers. MSS composed photographs, when composed with proper bands and densities, were proved useful for distinguishing land use types but not applicable to more detailed practices such as forest type separation and tree species identification.

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