• Title/Summary/Keyword: 영상관측

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A Study on the Formulation of High Resolution Range Profile and ISAR Image Using Sparse Recovery Algorithm (Sparse 복원 알고리즘을 이용한 HRRP 및 ISAR 영상 형성에 관한 연구)

  • Bae, Ji-Hoon;Kim, Kyung-Tae;Yang, Eun-Jung
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.25 no.4
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    • pp.467-475
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    • 2014
  • In this paper, we introduce a sparse recovery algorithm applied to a radar signal model, based on the compressive sensing(CS), for the formulation of the radar signatures, such as high-resolution range profile(HRRP) and ISAR(Inverse Synthetic Aperture Radar) image. When there exits missing data in observed RCS data samples, we cannot obtain correct high-resolution radar signatures with the traditional IDFT(Inverse Discrete Fourier Transform) method. However, high-resolution radar signatures using the sparse recovery algorithm can be successfully recovered in the presence of data missing and qualities of the recovered radar signatures are nearly comparable to those of radar signatures using a complete RCS data without missing data. Therefore, the results show that the sparse recovery algorithm rather than the DFT method can be suitably applied for the reconstruction of high-resolution radar signatures, although we collect incomplete RCS data due to unwanted interferences or jamming signals.

Structure of a Warm Eddy off Sogcho in May 1992 (1992년 5월 속초 근해 와동류의 구조)

  • LEE Jae Chul;MIN Dug Hong;YU Hong Sun;LEE Hyong Sun;YANG Han Soeb
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.28 no.3
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    • pp.354-363
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    • 1995
  • Temporal change of a warm eddy off Sogcho was studied using satellite infrared images from January to lune 1992 and its structure was investigated by the observations in Hay. There were two kinds of event for eddy formation. IR images in January indicated that the eddy Haying a horizontal dimension of about 200km was first formed by an injection of warm water. After some deformation and cooling processes the second restrengthening event took place in late March when a warm filament began to penetrate northward and circumvented the preexisting eddy. This eddy became a complete ring-shape with cooled water arrested inside from April to May. The maximum thickness of the isothermal subsurface layer with temperature of $10.0-10.4^{\circ}C$ was about 170m. Except that the current velocity was about 80cm/sec near the axis of the last Korea Warm Current close to Sogcho, the interior of the eddy had an anticyclonic motion with overall swirl velocity of 30-50cm/sec. Velocity rapidly decreased vertically below the main thermocline.

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GIS Analyst of Fishing Fleet in the East Sea Derived from Nighttime Satellite Images in 1993 (1993년 야간위성영상에서 관측한 동해 어선분포의 GIS에 의한 분석)

  • 김상우
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.6
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    • pp.812-818
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    • 2002
  • Spatio-temporal distributions of nighttime fishing fleet are descirbed with the aid of geographic information system(GIS) technology in the East/Japan Sea, using daily mean composite images of the Defense Meteorological Satellite Program(DMSP) /Operational Linescan System(OLS) in 1993. We selected a study area from $30^{\circ} N to 44^{\circ} N in latitude and from 124^{\circ} E to 142^{\circ}$ E in longitude in order to describe the monthly and seasonal changes of nighttime fishing fleet. The GIS software package Image Analyst (ArcView 3) are used to analyze spatio-temporal distributions of fishing nut. And the OLS images of nighttime visible band provide useful information about the spatio-temporal distribution of the fishing nut. Density areas of nighttime fishing fleet are around Tsushima/korea Strait. the east coast of the Korea Peninsula, the coast of Honshu, and around Yamato Bank.

Proposal of a Monitoring System to Determine the Possibility of Contact with Confirmed Infectious Diseases Using K-means Clustering Algorithm and Deep Learning Based Crowd Counting (K-평균 군집화 알고리즘 및 딥러닝 기반 군중 집계를 이용한 전염병 확진자 접촉 가능성 여부 판단 모니터링 시스템 제안)

  • Lee, Dongsu;ASHIQUZZAMAN, AKM;Kim, Yeonggwang;Sin, Hye-Ju;Kim, Jinsul
    • Smart Media Journal
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    • v.9 no.3
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    • pp.122-129
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    • 2020
  • The possibility that an asymptotic coronavirus-19 infected person around the world is not aware of his infection and can spread it to people around him is still a very important issue in that the public is not free from anxiety and fear over the spread of the epidemic. In this paper, the K-means clustering algorithm and deep learning-based crowd aggregation were proposed to determine the possibility of contact with confirmed cases of infectious diseases. As a result of 300 iterations of all input learning images, the PSNR value was 21.51, and the final MAE value for the entire data set was 67.984. This means the average absolute error between observations and the average absolute error of fewer than 4,000 people in each CCTV scene, including the calculation of the distance and infection rate from the confirmed patient and the surrounding persons, the net group of potential patient movements, and the prediction of the infection rate.

Investigation of Skin Friction Reduction Mechanism of Outer-Layer Vertical Blades Using POD Analysis (POD 기법을 이용한 경계층 외부 수직날의 마찰저항 저감 기구에 관한 관측)

  • An, Nam Hyun;Park, Seong Hyeon;Chun, Ho Hwan;Lee, Inwon
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.37 no.6
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    • pp.567-575
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    • 2013
  • A POD analysis based on time-resolved PIV measurements in a circulating water channel has been conducted to identify the skin friction reduction mechanism of outer-layer vertical blades. A recent PIV measurement indicated 2.73% and 7.95% drag reduction in the blade plane and the blade-in-between plane, respectively. In the present study, the influence of vertical blades array upon the characteristics of the turbulent coherent structures was analyzed by the POD method. It is observed that the vortical structures are cut and deformed by the blades array and that their temporal evolution is strongly associated with the skin-friction drag reduction mechanism in the turbulent boundary layer flow.

A Review on Atmospheric Correction Technique Using Satellite Remote Sensing (인공위성 원격탐사를 이용한 대기보정 기술 고찰)

  • Lee, Kwon-Ho;Yum, Jong-Min
    • Korean Journal of Remote Sensing
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    • v.35 no.6_1
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    • pp.1011-1030
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    • 2019
  • Remote sensing sensors used in satellites or aircrafts measure electromagnetic waves passing through the earth's atmosphere, and thus the information on the surface of the earth is affected as it is absorbed or scattered by the earth's atmosphere. Although satellites have different wavelength ranges and resolutions depending on the purpose of onboard sensors, in general, atmospheric correction must be made to remove the influence of the atmosphere in order to accurately measure the spectral signal of an object on the earth's surface. The purpose of atmospheric correction is to remove the atmospheric effect from remote sensing images to determine surface reflectivity values and to derive physical parameters of the surface. Until recently, atmospheric correction algorithms have evolved from image-based empirical methods or indirect methods using in-situ observation data to direct methods that numerically interpret more complex radiative transfer processes. This study analyzes the research records of atmospheric correction algorithms developed over the past 40 years, systematically establishes the current state of atmospheric correction technology and the results of major atmospheric correction algorithms and presents the current status and research trends of related technologies.

The Investigation of Mineral Distribution at Spirit Rover Landing Site: Gusev Crater by CRISM Hyperspectral data and Target Detection Algorithm (CRISM 초분광 영상과 표적 탐지 알고리즘을 이용한 Spirit 로버 탐사 지역: Gusev Crater의 광물 분포 조사)

  • Baik, Hyun-Seob;Kim, Kwang-Eun
    • Korean Journal of Remote Sensing
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    • v.32 no.5
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    • pp.403-412
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    • 2016
  • Compact Reconnaissance Imaging Spectrometer for Mars(CRISM) is 489-band hyperspectral camera of Mars Reconnaissance Orbiter(MRO) that provided data used on many mineral researches over Martian surface. For the detection of minerals in planet, mineral index using a few spectral bands have been used. In this study, we applied Matched Filter and Adaptive Cosine Estimator(ACE) target detection algorithm on CRISM data over Gusev Crater: landing site of Spirit(Mars Exploration Rover A) to investigate its mineral distribution. As a result, olivine, pyroxene, magnetite, etc. is detected at Gusev Crater's Columbia Hills. These results are corresponding to the Spirit rover's field survey result. It is expected that hyperspectral target detection algorithms can be used as effective and easy to use method for the detection and mapping of surface minerals in planet.

Building Safety Management using Georeferencing Video Data (Georeferencing 동영상정보를 이용한 건축물안전관리)

  • Park, Ki-Youn;Kim, Ki-Tae;Sohn, Duk-Jae;Yoo, Hwan-Hee
    • Journal of Korean Society for Geospatial Information Science
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    • v.17 no.3
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    • pp.81-87
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    • 2009
  • This study aims to evaluate how efficiently time-worn building could be managed by using GPS-based video-logging systems. The digitally georeferencing video data taken by a hand-hold GPS-based video-logging system allows quick retrieval and effective management for the complicate and various superannuated building in urban area. The results of the study are as follows. Georeferencing data are possible to trace observed positions by using GPS linked with video and to provide building crack information anytime that could be used to inspect and analyze the safety hazard diagnosis of buildings. Building crack information were measured by the proposed method that is merged with feature tracking and image mosaic of sequenced images. From the study, it reveals that the georeferencing video technique provides more realistic and reliable information in safety diagnosis and it can also be used as the essential and modern tool in urban building management.

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Change Vector Analysis : Change detection of flood area using LANDSAT TM Data (LANDSAT TM을 이용한 홍수지역의 변화탐지 : Change Vector Analysis 방법을 중심으로)

  • Yoon, Geun-Won;Yun, Young-Bo;Park, Jong-Hyun
    • Journal of Korean Society for Geospatial Information Science
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    • v.11 no.2 s.25
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    • pp.47-52
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    • 2003
  • Change detection and analysis is a powerful application of remote sensing, in that the spectral resolution of multi-band sensors can be used to advantage in monitoring both significant and subtle land cover changes over time. In this study, the LANDSAT TM data was used to detect the change areas affected by flood from a heavy rainfall. The study area is the Nakdong River located in the Korea peninsular. Among the several change detection techniques, change vector analysis(CVA), principle component analysis(PCA) and image difference approach are utilized in this paper. CVA uses any number of spectral bands from multi-date satellite data to produce change image that yield information of the magnitude and direction of differences pixel values. And accuracy assessment was carried out with a change image produced from three techniques. In result, CVA was found to be the most accurate for detecting areas affected by flood. CVA with the overall accuracy and Kappa coefficient of 97.27 percent and 94.45 percent, respectively.

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An Evaluation of the Use of the Texture in Land Cover Classification Accuracy from SPOT HRV Image of Pusan Metropolitan Area (SPOT HRV 영상을 이용한 부산 지역 토지피복분류에 있어서의 질감의 기여에 관한 평가)

  • Jung, In-Chul
    • Journal of the Korean Association of Geographic Information Studies
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    • v.2 no.1
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    • pp.32-44
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    • 1999
  • Texture features can be incorporated in classification procedure to resolve class confusions. However, there have been few application-oriented studies made to evaluate the relative powers of texture analysis methods in a particular environment. This study evaluates the increases in the land-cover classification accuracy of the SPOT HRV multispectral data of Pusan Metropolitan area from texture processing. Twenty-four texture measures were derived from the SPOT HRV band 3 image. Each of these features were used in combination with the three spectral images in the classification of 10 land-cover classes. Supervised training and a Gaussian maximum likelihood classifier were used in the classification. It was found that while entropy produces the best empirical results in terms of the overall classification, other texture features can also largely improve the classification accuracies obtained by the use of the spectral images only. With the inclusion of texture, the classification for each category improves. Specially, urban built-up areas had much increase in accuracy. The results indicate that texture size 5 by 5 and 7 by 7 may be suitable at land cover classification of Pusan Metropolitan area.

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