• Title/Summary/Keyword: Satellite Image Analysis

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Comparison of Surface Temperatures between Thermal Infrared Image and Landsat 8 Satellite (열적외 영상과 Landsat 8 위성으로부터 관측된 지표면 온도 비교)

  • Cho, Chaeyoon;Jee, Joon-Bum;Park, Moon-Soo;Park, Sung-Hwa;Choi, Young-Jean
    • Journal of Korean Society for Atmospheric Environment
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    • v.32 no.1
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    • pp.46-56
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    • 2016
  • In order to analyze the surface temperature in accordance with the surface material, surface temperatures between Thermal InfraRed Image (TIRI) and Landsat 8 satellite observed at the commercial area (Gwanghwamun) and residential area (Jungnang) are compared. The surface temperature from TIRI had applied atmospheric correction and compared with that from Landsat 8. The surface temperatures from Landsat 8 at Gwanghwamun and Jungnang are underestimated in comparison with that from TIRI. The difference of surface temperature between the two methods is greater in summer than in winter. When the analysis area was divided into detailed regions, depending on the material and the position of the surface, correlation of surface temperature between TIRI with Landsat 8 is as low as 0.29 (Gwanghwamun) and 0.18 (Jungnang), respectively. The results were caused from the resolution difference between the two methods. While the surface temperatures of each zone from Landsat 8 were observed almost constant, high-resolution TIRI observed relatively precise surface temperatures. When the each area was averaged as one space, correlation of surface temperature between TIRIs and Landsat 8 is more than 0.95. The spatially averaged surface temperature is higher at Jungnang, representing residential areas, than at Gwanghwamun, representing commercial areas. As a result, the observation of high resolution is required in order to observe the precise surface temperature. This is because it appears that the spatial distribution of the various surface temperature in the range of micro-scale according to the conditions of the ground surface.

Vicarious Radiometric Calibration of RapidEye Satellite Image Using CASI Hyperspectral Data (CASI 초분광 영상을 이용한 RapidEye 위성영상의 대리복사보정)

  • Chang, An Jin;Choi, Jae Wan;Song, Ah Ram;Kim, Ye Ji;Jung, Jin Ha
    • Journal of Korean Society for Geospatial Information Science
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    • v.23 no.3
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    • pp.3-10
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    • 2015
  • All kinds of objects on the ground have inherent spectral reflectance curves, which can be used to classify the ground objects and to detect the target. Remotely sensed data have to be transferred to spectral reflectance for accurate analysis. There are formula methods provided by the institution, mathematical model method and ground-data-based method. In this study, RapidEye satellite image was converted to reflectance data using spectral reflectance of a CASI hyperspectral image by using vicarious radiometric calibration. The results were compared with those of the other calibration methods and ground data. The proposed method was closer to the ground data than ATCOR and New Kurucz 2005 method and equal with ELM method.

SPACEBORNE TOPS SAR SYSTEM MODELING AND PERFORMANCE ANALYSIS (TOPS 위성 SAR 모드 시스템 구현 및 성능 평가 연구)

  • Kang, Seo-Li;Song, Jeong-Hwan;Kim, Bum-Seung;Kim, Hyeon-Cheol;Lee, Woo-Kyung
    • Journal of Satellite, Information and Communications
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    • v.9 no.2
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    • pp.74-79
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    • 2014
  • Conventional ScanSAR mode has been adopted in Envisat or Radarsat and played an important role to acquire wide swath SAR images for environmental surveillance. However, it suffers from the undesirable scalloping effect caused by non-homogeneity of antenna pattern while the image resolution is sacrificed. In recent years, TOPS mode has been suggested and put into use to overcome the disadvantages of the conventional scanning mode. Although TOPS mode is able to produce wide-swath SAR image in a short time interval, it demands highly complicated system design knowledge. In this paper, we present the operation principle of TOPS mode and a full SAR simulation is performed to generate TOPS SAR raw data. Azimuth antenna pattern is modified during TOPS mode operation and it is shown that the undesired scalloping effect is suppressed in the generated SAR image.

Application of Satellite Data on Geomorphological Study of the Tidal Flats near Kum River Estuary (위성자료의 한국 금강 하구부근 조간대 지형 연구에 대한 응용)

  • 안충현;이용국;유흥룡;오재경
    • Korean Journal of Remote Sensing
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    • v.5 no.1
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    • pp.1-12
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    • 1989
  • The objective of this study is to develop the application techniques, such as geometrical correction, image overlapping etc., of LANDSAT Thematic Mapper image data especially useful to the geomorphological study of tidal flats. The developed processing techniques were applied to the Kum river estuary. The results of this study are as follows. 1) According to the analysis of the distribution and topographical profiles of the tidal flats, the geomorphological characteristics of the study area seem to be different depending on their location. 2) Even though the geomorphological changes were not always observable on the satellite images, several areas of undoubtful short-term deposition could be detected on the analytical map-image which compares two different situations of tidal flats. 3) Even though a further ditailed study is necessary, the distribution and dispersal patterns of suspended materials and sea surface temperature distribution patterns due to tidal and other meteorological conditions were analyzed by LANDSAT TM channel 3 and 6.

Accuracy Analysis of the Orbit Modeling with Various GCP Configurations and Unknown Parameter Sets (기준점 위치와 미지수 조합에 따른 궤도모델링의 정확도 분석)

  • Kim, Dong-Wook;Kim, Hyun-Suk;Kim, Tae-Jung
    • Korean Journal of Remote Sensing
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    • v.24 no.2
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    • pp.133-140
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    • 2008
  • In this paper, we analyzed the accuracy of orbit modeling with various control point configurations and adjustment unknown parameter sets. We used 152 GCP points acquired from GPS surveying, which were distributed from Choon-chun to Nha-ju along 420km in distance. For orbit modeling, seven adjustment parameter sets were chosen to include parameters for satellite position, velocity and attitude angles at different degree of freedom. Firstly we determined the location of model point in seven configurations. Secondly we estimated model parameters for each parameter set and for each GCP configurations. Finally we applied the model to reference check points and analyzed its accuracy. We were able to find the unknown parameter set that produce best orbit modeling performance regardless of the configuration of model points.

Accuracy Analysis of Ortho Imagery with Different Topographic Characteristic (지역적 특성에 따른 정사영상의 정확도 분석)

  • Jo, Hyun-Wook;Park, Joon-Kyu
    • Journal of the Korean Association of Geographic Information Studies
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    • v.11 no.1
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    • pp.80-89
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    • 2008
  • Mapping applications using satellite imagery have been possible to quantitative analysis since SPOT satellite with stereo image was launched. Especially, high resolution satellite imagery was efficiently used in the field of digital mapping for the areas which are difficult to produce large-scale maps by aerial photogrammetry or carry out ground control point surveying due to unaccessibility. This study extracted the geospatial information out of consideration for topographic characteristic from ortho imagery of the National Geospatial-intelligence Agency(NGA) in the United States of America and analyzed the accuracy of plane coordinate for ortho imagery. For this purpose, the accuracy according to topographic character by comparison between both extraction data from ortho imagery and the digital topographic maps of 1:5000 scale which were produced by Korea National Geographic Information Institute(NGI) was evaluated. It is expected that the results of this study will be fully used as basic information for ground control point acquisition or digital mapping in unaccessible area.

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Satellite Image Analysis of Low-Level Stratiform Cloud Related with the Heavy Snowfall Events in the Yeongdong Region (영동 대설과 관련된 낮은 층운형 구름의 위성관측)

  • Kwon, Tae-Yong;Park, Jun-Young;Choi, Byoung-Cheol;Han, Sang-Ok
    • Atmosphere
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    • v.25 no.4
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    • pp.577-589
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    • 2015
  • An unusual long-period and heavy snowfall occurred in the Yeongdong region from 6 to 14 February 2014. This event produced snowfall total of 194.8 cm and the recordbreaking 9-day snowfall duration in the 103-year local record at Gangneung. In this study, satellite-derived cloud-top brightness temperatures from the infrared channel in the atmospheric window ($10{\mu}m{\sim}11{\mu}m$) are examined to find out the characteristics of clouds related with this heavy snowfall event. The analysis results reveal that a majority of precipitation is related with the low-level stratiform clouds whose cloud-top brightness temperatures are distributed from -15 to $-20^{\circ}C$ and their standard deviations over the analysis domain (${\sim}1,000km^2$, 37 satellite pixels) are less than $2^{\circ}C$. It is also found that in the above temperature range precipitation intensity tends to increase with colder temperature. When the temperatures are warmer than $-15^{\circ}C$, there is no precipitation or light precipitation. Furthermore this relation is confirmed from the examination of some other heavy snowfall events and light precipitation events which are related with the low-level stratiform clouds. This precipitation-brightness temperature relation may be explained by the combined effect of ice crystal growth processes: the maximum in dendritic ice-crystal growth occurs at about $-15^{\circ}C$ and the activation of ice nuclei begins below temperatures from approximately -7 to $-16^{\circ}C$, depending on the composition of the ice nuclei.

Comparative Analysis of Image Fusion Methods According to Spectral Responses of High-Resolution Optical Sensors (고해상 광학센서의 스펙트럼 응답에 따른 영상융합 기법 비교분석)

  • Lee, Ha-Seong;Oh, Kwan-Young;Jung, Hyung-Sup
    • Korean Journal of Remote Sensing
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    • v.30 no.2
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    • pp.227-239
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    • 2014
  • This study aims to evaluate performance of various image fusion methods based on the spectral responses of high-resolution optical satellite sensors such as KOMPSAT-2, QuickBird and WorldView-2. The image fusion methods used in this study are GIHS, GIHSA, GS1 and AIHS. A quality evaluation of each image fusion method was performed with both quantitative and visual analysis. The quantitative analysis was carried out using spectral angle mapper index (SAM), relative global dimensional error (spectral ERGAS) and image quality index (Q4). The results indicates that the GIHSA method is slightly better than other methods for KOMPSAT-2 images. On the other hand, the GS1 method is suitable for Quickbird and WorldView-2 images.

Automatic Determination of Matching Window Size Using Histogram of Gradient (그레디언트 히스토그램을 이용한 정합 창틀 크기의 자동적인 결정)

  • Ye, Chul-Soo;Moon, Chang-Gi
    • Korean Journal of Remote Sensing
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    • v.23 no.2
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    • pp.113-117
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    • 2007
  • In this paper, we propose a new method for determining automatically the size of the matching window using histogram of the gradient in order to improve the performance of stereo matching using one-meter resolution satellite imagery. For each pixel, we generate Flatness Index Image by calculating the mean value of the vertical or horizontal intensity gradients of the 4-neighbors of every pixel in the entire image. The edge pixel has high flatness index value, while the non-edge pixel has low flatness index value. By using the histogram of the Flatness Index Image, we find a flatness threshold value to determine whether a pixel is edge pixel or non-edge pixel. If a pixel has higher flatness index value than the flatness threshold value, we classify the pixel into edge pixel, otherwise we classify the pixel into non-edge pixel. If the ratio of the number of non-edge pixels in initial matching window is low, then we consider the pixel to be in homogeneous region and enlarge the size of the matching window We repeat this process until the size of matching window reaches to a maximum size. In the experiment, we used IKONOS satellite stereo imagery and obtained more improved matching results than the matching method using fixed matching window size.

Development of Mask-RCNN Model for Detecting Greenhouses Based on Satellite Image (위성이미지 기반 시설하우스 판별 Mask-RCNN 모델 개발)

  • Kim, Yun Seok;Heo, Seong;Yoon, Seong Uk;Ahn, Jinhyun;Choi, Inchan;Chang, Sungyul;Lee, Seung-Jae;Chung, Yong Suk
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.23 no.3
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    • pp.156-162
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    • 2021
  • The number of smart farms has increased to save labor in agricultural production as the subsidy become available from central and local governments. The number of illegal greenhouses has also increased, which causes serious issues for the local governments. In the present study, we developed Mask-RCNN model to detect greenhouses based on satellite images. Greenhouses in the satellite images were labeled for training and validation of the model. The Mask-RC NN model had the average precision (AP) of 75.6%. The average precision values for 50% and 75% of overlapping area were 91.1% and 81.8%, respectively. This results indicated that the Mask-RC NN model would be useful to detect the greenhouses recently built without proper permission using a periodical screening procedure based on satellite images. Furthermore, the model can be connected with GIS to establish unified management system for greenhouses. It can also be applied to the statistical analysis of the number and total area of greenhouses.