• Title/Summary/Keyword: photo-interpretation

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Photo - Interpretation and Identification of Three Species on Panchromatic Film (흑백사진상(黑白寫眞上)의 수종식별(樹種識別))

  • Shim, Jong-Supp;Han, Kap-Joon
    • Journal of the Korean Wood Science and Technology
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    • v.10 no.3
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    • pp.190-193
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    • 1982
  • Conclusion: The results of this study are encouraging for the development of a set of interpretable diagnostic criteria for a reasonably reliable identification of some species. The present study has been limited in the characteristics studied and was made on relatively poor photography. Further study on high quality photography, over wider areas and including such additional characteristics as crown texture and shadow intensity should prove useful. A preliminary examination has been made of some photo-image characteristics of a number of important tree species on large scale (1:9,000) contact prints of panchromatic mm. The characteristics studied were crown image tone, and shape. Image tone was estimated against a standard grey-scale and shows within-species consistency and a range between species. Crown shapes were subjectively assessed but there appears to be a within-species consistency and interpretable between-species differences. The results of this trial suggest that it should be practicable to make a number of important species distinctions by photo-interpretation with a useful degree of reliability. Other characteristics beside those studied might be usefully examined. Photography: Hand-printed glossy contact prints of vertical 1:9,000 scale panchromatic photography of Kwangnung Experimental Forest flown May 1964. The filter used is unknown (probably minus-blue). The camera is unknown but was probably a military type K-17 or K-22 with 6"(apostfophy) lens. The photography shows notably poor resolution. Species: 143 individual trees ranging through 11 species (7 softwood, 4 hardwood) were included in the study. A range of size classes were included for each species.

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Foundmental Study of Prediction of Natural Disaster Using the Aerial Photo Interpretation (항공사진판독에 의한 자연재해예측을 위한 기초적 연구)

  • Kang, In-Joon;Kwak, Jae-Ha;Jung, Jae-Hyung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.10 no.2
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    • pp.57-62
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    • 1992
  • As population is increased, land use types are changed mountainous areas from flatland in Korea. Because natural disaster as landslides occur of life, property, and environmental damage, prediction of landslides have become increasingly important. We focus on the issue for assessment of landslides, not slope stability analysis for a simple slope site. In this study, we could know the correlations of mean, standard deviation for brightness value of imagery by aerial photo scanning. The range of brightness values and standard deviation of landslide area is 35~65 and tend to increment of value, in the every years. When evaluating large regions with past occurrence of landslides, it is possible to search for correlation of site conditions such as degree of slope, soil characteristics, vegetative cover, and rainfall conditions in aerial photo interpretation data.

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Studies on A New Geomorphological Approach for Survey of Potential Floods Damages -An aplicatlon of geomorphology and geology through aerial photo-interpration- (홍수피해예상조사방법에 관한 연구 <항공사진판독에 의한 지형 지질분석 및 그 응용을 중심으로>)

  • 김태희
    • Water for future
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    • v.7 no.2
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    • pp.34-46
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    • 1974
  • This paper provides a new geomorphological approach for survey of potential flood damages and for preparation of cartographically accurate flood maps. floods are possibly the worst disasters we have recorded in he past and may expect in the future. Interpretation of aerial photographs of river basin enables us to determine the nature of floods by investigating the maximum extent of inundated areas in the past. Most of the typical dangerous spots, highly susceptible for flood disasters can be systematically identified by analyzin lithologic, structural, and geomorphic cycle.

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The Technique of Landslide Hazard Prediction Using Vegetation Interpretation of Aerial Photo (항공사진의 식생 판독에 의한 재해 예측 기법)

  • 강인준;곽재하;정재형
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.11 no.1
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    • pp.29-35
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    • 1993
  • The vegetation such as grass, shrub, tree has been used to control the erosion and stabilize the slope for a long time. But the effects of vegetation on slope area is usually neglected in traditional stability analyses. There are many errors in slope analyses in thin soil mantles. Therefore the effects of vegetation is an important factor. But it is difficult and complex to represent the vegetation influence quantitatively in stability analysis. In this study, authors choose the landslide region at the Kum sung dong Kum-jung ku Pusan as a model area. Authors analyzed the degree of slope with the aerial photo interpretation and DTM data extracted from the topographic map, and the relationship of D.B.H. (diameter of breast height), height, and age of tree in field investigation data. Finally authors know the fact that landslide take place approximately 10 or 20 years later in arbitrary afforestable area where the degree of slope is 27. The prevention effect must be considered in the control of vegetation.

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Automatic Extraction of Individual Tree Height in Mountainous Forest Using Airborne Lidar Data (항공 Lidar 데이터를 이용한 산림지역의 개체목 자동 인식 및 수고 추출)

  • Woo, Choong-Shik;Yoon, Jong-Suk;Shin, Jung-Il;Lee, Kyu-Sung
    • Journal of Korean Society of Forest Science
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    • v.96 no.3
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    • pp.251-258
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    • 2007
  • Airborne Lidar (light detection and ranging) can be an effective alternative in forest inventory to overcome the limitations of conventional field survey and aerial photo interpretation. In this study, we attempt to develop methodologies to identify individual trees and to estimate tree height from airborne Lidar data. Initially, digital elevation model (DEM) data representing the exact ground surface were generated by removing non-ground returns from the multiple-return laser point clouds, obtained over the coniferous forest site of rugged terrain. Based on the canopy height model (CHM) data representing non-ground layer, individual tree heights are extracted through pseudo-grid method and moving window filtering algorithm. Comparing with field survey data and aerial photo interpretation on sample plots, the number of trees extracted from Lidar data show over 90% accuracy and tree heights were underestimated within 1.1m in average at two plantation stands of pine (Pinus koraiensis) and larch (Larix leptolepis).

Analysis of the Changes for Natural Environment by Geo-Spatial Information Database of Aerial Photo (항공사진의 지형공간정보 자료기반에 의한 자연환경변화의 분석)

  • Kang, In-Joon;Kwak, Jae-Ha;Park, Kie-Tae
    • Journal of Korean Society for Geospatial Information Science
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    • v.1 no.2 s.2
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    • pp.159-166
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    • 1993
  • Decrease of forest is seriously caused by urbanization. Photographic interpretation is the act of examining photographic images for the purpose of identifying objects and judging their significance. A systematic study of aerial photographs usually involves a consideration of the basic characteristics of photographic images. Seven of these characteristics are shape, size, pattern, shadow, tone, texture, and site. Aerial photographs contain a detailed record of the ground at the time of exposure. Authors blow the changes of natural environment by database for interpretation of aerial photo. In this paper, authors choose the Pusan National University located at the Kum-Joung Koo, Pusan as model area. Ten year of interval in 1980 and 1990, authors know the rate of forest decreasing is approximately 41 percents and the necessity of the protection of foreast. Authors suggest the combination of construction and protection of environment.

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The Preclinical and Clinical Effects of Herbal Product Containing Rosa mutiflora Roots Extracts as a Main Component on the Hair Growth Promotion (찔레뿌리 추출물을 주성분으로 하는 천연물 조성물의 발모촉진 효과에 관한 전임상 및 임상시험 연구)

  • Kim, Joong-Hark;Hong, Sung-Kil;Hwang, Sung-Jue;Son, Sang-Wook;Choi, Yong-Soon
    • Korean Journal of Medicinal Crop Science
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    • v.20 no.2
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    • pp.108-116
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    • 2012
  • In this study, to develop hair growth agents using natural products which has excellent ability to promote hair growth effect and fewer side effect, animal experiment and clinical trials was performed to evaluate hair growth promotion effect of herbal product containing $Rosa$ $mutiflora$ roots extracts as a main component (RMHP). 4-week-old male C57BL/6 mice were removed the dorsal hair using thioglycolate, and applied 15% EtOH solution as a negative control, 5% minoxidil as a positive control and RMHP to dorsal skin. In the results of macroscopy and photo-interpretation, RMHP group recorded 100% (+++++) of hair growth was proved to significantly stimulate hair growth against 80% (++++) negative control group. 37 patients were treated with RMHP and evaluated the therapeutic effect at 16 weeks. Hair density was significantly increased at 16 weeks after applying RMHP ($125.0{\pm}4.9\;FU/cm^2$) compared to before treatment ($104.3{\pm}4.7\;FU/cm^2$, p < 0.05), and hair thickness were also significantly increased ($0.066{\pm}0.003$ mm) than before treatment ($0.055{\pm}0.002$ mm, p < 0.05). The result of clinical photo-interpretation using 7-point rating scale assessment, after 16 weeks clinical symptoms were evaluated to significantly improve with $1.23{\pm}0.05$ (p < 0.05). Therefore, the results of this study were observed that RMHP have hair loss prevention effect and hair growth promotion effect to hair loss patients.

A Structure-controlled Model for Hot Spring Exploration in Taiwan by Remote Sensing

  • Liu, Jin-King;Yu, Ming-Fang;Ueng, Shiun-Jenq
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.28-30
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    • 2003
  • Hot Spring Law of Taiwan was passed in legislative assembly on 3 June 2003. Hot springs would become one of the most important natural resources for recreation purposes. Both public and private sectors will invest large amount of capital in this area in the near future. The value of remote sensing technology is to give a critical tool for observing the landscape to find out mega-scaled geological structures, which may not be able to be found by conventional approaches. The occurrences of the hot springs in Taiwan are mostly in metamorphic and sedimentary rocks , other than in volcanic environments. Local geothermal anomaly or heat of springs transfer by liquid convection other than conduction or radiation. The deeply -seated fractures of hard rocks are the conduit of the convection of hot water, which could be as deep as 3000 meters in a hypothetical model of Taiwan. Clues to find outcrops of hot spring can be obtained by a structure-controlled model deduced by geological lineaments observed by satellite images and stereoscopic interpretation of aerial photographs. A case study conducted in Eastern Taiwan will be demonstrated.

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Monitoring of III-V semiconductor surface by In-situ Surface PhotoAbsorption

  • Kim, T. J.;Kim, Y. D.;H. Hwang;E. Yoon
    • Journal of the Korean Vacuum Society
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    • v.12 no.S1
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    • pp.79-82
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    • 2003
  • We present the investigation on P- and As-desorption process from the (001) InP surface in metal organic chemical vapor deposition using surface photoabsorption (SPA). The monochromatic SPA signal showed rapid initial increase to reach In-stabilized surface value after $PH_3$ was turned off, but in case of As-desorption, the signal showed clear existence of a metastable state after the $AsH_3$ was turned off. The SPA spectra at each stable surfaces were taken to confirm the interpretation. This result indicates that the As-desorption process should be understood as a two-step process, in contrast to P-desorption of one-step process.

Landslide Susceptibility Analysis Using Artificial Neural Networks (인공신경망을 이용한 산사태 취약성 분석)

  • 이사로;류주형;민경덕;원중선
    • Economic and Environmental Geology
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    • v.33 no.4
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    • pp.333-340
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    • 2000
  • The purpose of this study is to develop landslide susceptibility analysis techniques using artificial neural network and apply the newly developed techniques for assessment of landslide susceptibility to study areas, Yongin. Landslide locations detected from interpretation of aerial photo and field survey, and topographic, soil and geological maps of the Yongin area were collected. The data of the locations of land-slide, slope, soil texture, topography and lithology were constructed into spatial database using GIS. Using the factors, landslide susceptibility was analyzed by artificial neural network methods. The results of the analysis were verified using the landslide location data. The validation results showed satisfactory agreement between the susceptibility map and landslide location data.

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