• Title/Summary/Keyword: SPOT images

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A Study on the EO-1 Hyperion's Optimized Band Selection Method for Land Cover/Land Use Map (토지피복지도 제작을 위한 초분광 영상 EO-1 Hyperion의 최적밴드 선택기법 연구)

  • Jang Se-Jin;Lee Ho-Nam;Kim Jin-Kwang;Chae Ok-Sam
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.24 no.3
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    • pp.289-297
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    • 2006
  • The Land Cover/Land Use Map have been constructed from 1998, which has hierarchical structure according to land cover/land use system. Level 1 classification Map have done using Landsat satellite image over whole Korean peninsula. Level II classification Map have been digitized using IRS-1C, 1D, KOMPSAT and SPOT5 satellite images resolution-merged with low resolution color images. Level II Land Cover/Land Use Map construction by digitizing method, however, is consuming enormous expense for satellite image acquisition, image process and Land Cover/Land Use Map construction. In this paper, the possibility of constructing Level II Land Cover/Land Use Map using hyperspectral satellite image of EO-1 Hyperion, which is studied a lot recently, is studied. The comparison of classifications using Hyperion satellite image offering more spectral information and Landsat-7 ETM+ image is performed to evaluate the availability of Hyperion satellite image. Also, the algorithm of the optimal band selection is presented for effective application of hyperspectral satellite image.

Gel Image Matching Using Hopfield Neural Network (홉필드 신경망을 이용한 젤 영상 정합)

  • Ankhbayar Yukhuu;Hwang Suk-Hyung;Hwang Young-Sup
    • The KIPS Transactions:PartB
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    • v.13B no.3 s.106
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    • pp.323-328
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    • 2006
  • Proteins in a cell appear as spots in a two dimensional gel image which is used in protein analysis. The spots from the same protein are in near position when comparing two gel images. Finding out the different proteins between a normal tissue and a cancer one is important information in drug development. Automatic matching of gel images is difficult because they are made from biological experimental processes. This matching problem is known to be NP-hard. Neural networks are usually used to solve such NP-hard problems. Hopfield neural network is selected since it is appropriate to solve the gel matching. An energy function with location and distance parameters is defined. The two spots which make the energy function minimum are matching spots and they came from the same protein. The energy function is designed to reflect the topology of spots by examining not only the given spot but also neighborhood spots.

Unsupervised Image Classification through Multisensor Fusion using Fuzzy Class Vector (퍼지 클래스 벡터를 이용하는 다중센서 융합에 의한 무감독 영상분류)

  • 이상훈
    • Korean Journal of Remote Sensing
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    • v.19 no.4
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    • pp.329-339
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    • 2003
  • In this study, an approach of image fusion in decision level has been proposed for unsupervised image classification using the images acquired from multiple sensors with different characteristics. The proposed method applies separately for each sensor the unsupervised image classification scheme based on spatial region growing segmentation, which makes use of hierarchical clustering, and computes iteratively the maximum likelihood estimates of fuzzy class vectors for the segmented regions by EM(expected maximization) algorithm. The fuzzy class vector is considered as an indicator vector whose elements represent the probabilities that the region belongs to the classes existed. Then, it combines the classification results of each sensor using the fuzzy class vectors. This approach does not require such a high precision in spatial coregistration between the images of different sensors as the image fusion scheme of pixel level does. In this study, the proposed method has been applied to multispectral SPOT and AIRSAR data observed over north-eastern area of Jeollabuk-do, and the experimental results show that it provides more correct information for the classification than the scheme using an augmented vector technique, which is the most conventional approach of image fusion in pixel level.

Extraction of Urban Boundary Using Grey Level Co-Occurrence Matrix Method in Pancromatic Satellite Imagery (GLCM기법을 이용한 전정색 위성영상에서의 도시경계 추출)

  • Kim, Gi Hong;Choi, Seung Pil;Yook, Woon Soo;Sohn, Hong Gyoo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.1D
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    • pp.211-217
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    • 2006
  • Growing urban areas modify patterns of local land use and land cover. Land use changes associated with urban expansion. One way to understand and document land use change and urbanization is to establish benchmark maps compiled from satellite imagery. Old satellite Imagery is useful data to extract urban information. CORONA is a photo satellite reconnaissance program used from 1960 to 1972 and its imagery was declassified and has been available to the public since 1995. Since CORONA images are collected with panoramic cameras, several types of geometric distortions are involved. In this study we proposed mathematical modeling method which use modified collinearity equations. After the geometric modeling, we mosaicked images. We can successfully extract urban boundaries using GLCM method and visual interpretation in CORONA (1972) and SPOT (1995) imagery and detect urban changes in Seoul quantitatively.

GROUND RECEIVING SYSTEM FOR KOMPSAT-2

  • Kim, Moon-Gyu;Kim, Tae-Jung;Park, Sung-Og;Im, Yong-Jo;Shin, Ji-Hyun;Choi, Myung-Jin;Park, Seung-Ran;Lee, Jong-Ju
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.804-809
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    • 2002
  • Remote sensing division of satellite technology research center (SaTReC), Korea advanced institute of science and technology (KAIST) has developed a ground receiving and processing system for high resolution satellite images. Developed system will be adapted and operated to receive, process and distributes images acquired from of the second Korean Multi-purpose Satellite (KOMPSAT-2), which will be launched in 2004. This project had initiated to develop and Koreanize the state-of-the-art technologies related to the ground receiving system fur high resolution remote sensing images, which range from direct ingestion of image data to the distribution of products through precise image correction. During four years development, the system has been verified in various ways including real operation of custom-made systems such as a prototype system for SPOT and a commercialised system for KOMPSAT-1. Currently the system is under customisation for installation at KOMPSAT-2 ground station. In this paper, we present accomplished work and future work.

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PROBABILISTIC LANDSLIDE SUSCEPTIBILITY AND FACTOR EFFECT ANALYSIS

  • LEE SARO;AB TALIB JASMI
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.306-309
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    • 2004
  • The susceptibility of landslides and the effect of landslide-related factors at Penang in Malaysia using the Geographic Information System (GIS) and remote sensing data have been evaluated. Landslide locations were identified in the study area from interpretation of aerial photographs and from field surveys. Topographical and geological data and satellite images were collected, processed, and constructed into a spatial database using GIS and image processing. The factors chosen that influence landslide occurrence were: topographic slope, topographic aspect, topographic curvature and distance from drainage, all from the topographic database; lithology and distance from lineament, taken from the geologic database; land use from Landsat TM (Thermatic Mapper) satellite images; and the vegetation index value from SPOT HRV (High Resolution Visible) satellite images. Landslide hazardous areas were analysed and mapped using the landslide-occurrence factors employing the probability-frequency ratio method. To assess the effect of these factors, each factor was excluded from the analysis, and its effect verified using the landslide location data. As a result, land 'cover had relatively positive effects, and lithology had relatively negative effects on the landslide susceptibility maps in the study area. In addition, the landslide susceptibility maps using the all factors showed the relatively good results.

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Effect of Laser Beam Trajectory on Donor Plate in Laser Induced Thermal Printing Process

  • Lee, Kwang-Won;Lee, Si-Jin;Kwon, Jin-Hyuk;Yi, Jong-Hoon;Park, Lee-Soon
    • Journal of the Optical Society of Korea
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    • v.15 no.4
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    • pp.362-367
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    • 2011
  • Organic ($Alq_3$) film, which was coated on a donor plate, was transferred to an organic light emitting diode (OLED) substrate with help of heat generated by a dithering laser beam. The laser beam was diffracted in an acousto-optic modulator (AOM), then focused on the laser-to-heat converting layer of the donor plate; the focused spot followed trajectories guided by rotation of a Galvano-mirror. Three different functional waveforms, sine wave, square wave, and saw tooth wave were applied to the AOM as modulation signal to generate the dithering beam. The fluorescence microscope images of the donor plate showed that the patterns of removed $Alq_3$ film were affected considerably by the modulation waveforms and the phase difference between adjacent dithering beams. Further, the printed images of Alq3 film on the OLED substrate were different from the patterns of removed Alq3 film. Atomic force microscope images indicated that not only direct transfer but also deposition by sublimated vapor of Alq3 contributed to the pattern formation. Printed patterns affected considerably the electricity-to-light conversion characteristics of OLEDs. For uniform transfer, not only the phase relation of dithering beam lines but also adequate waveform were important.

DEM generation from an IKONOS stereo pair using EpiMatch and Graph-Cut algorithms

  • Kim, Tae-Jung;Im, Yong-Jo;Kim, Ho-Won;Kweon, In-So
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.524-529
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    • 2002
  • In this paper, we report the development of two DEM (digital elevation model) generation algorithms over urban areas from an IKONOS stereo pair. One ("EpiMatch") is originally developed for SPOT images and modified for IKONOS images. It uses epipolar geometry for accurate DEM generation. The other is based on graph-cut algorithm in 3D voxel space. This algorithm is believed to work better on height discontinuities than EpiMatch. An IKONOS image pair over Taejon city area was used for tests. Using ground control points obtained from differential GPS, camera model was set up and stereo matching applied. As a result, two DEMs over urban areas were produced. Within a DEM from EpiMatch small houses appear as small "cloudy" patches and large apartment and industrial buildings are visually identifiable. Within the DEM from graph-cut we could achieve better height information on building boundaries. The results show that both algorithms can generate DEMs from IKONOS images although more research is required on handling height discontinuities (for "EpiMatch") and on faster computation (for "Graph-cut").

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A Study on the Characteristics of Electroencephalogram for the Evaluating Words of Soundscape Sound Source When Visual Information is Suggested (시각정보 제공에 따른 사운드스케이프 음원평가어휘별 뇌파변화에 관한 연구)

  • Song, Min-Jeong;Shin, Hoon
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.21 no.7
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    • pp.629-636
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    • 2011
  • In this study, survey experiment and EEG test was carried out to know the effect of visual images on EEG for evaluating words of soundscape sound source with 18 subjects. Analysis on the EEG were executed to know the difference according to with and without visual images. Followings are results of this study. 1) There is no big difference with visual images in soundscape sound evaluating adjectives such as "Full", "Clear", "Enjoyable" whereas there is a big difference in soundscape sound evaluating adjectives such as "Pleasant", "Comfortable", "Gentle", "Sonorous". 2) There is a tendency that soundscape sound source which is consist of single sound source shows + 1 above increase in survey test when visual image is suggested whereas soundscape sound source which is consist of one more sound source shows - 1 below decrease in survey test. 3) Statistical analysis was used to know considerable probability. ${\alpha}$-wave has a considerable probability and Maximum level difference occurring brain spots were number 1 and 2.

Ground Receiving System for KOMPSAT-2

  • Kim, Moon-Gyu;Kim, Tae-Jung;Choi, Hae-Jin;Park, Sung-Og;Lee, Dong-Han;Im, Yong-Jo;Shin, Ji-Hyun;Choi, Myung-Jin;Park, Seung-Ran;Lee, Jong-Ju
    • Korean Journal of Remote Sensing
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    • v.19 no.3
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    • pp.191-200
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    • 2003
  • Remote sensing division of satellite technology research center (SaTReC) , Korea advanced institute of science and technology (KAIST) has developed a ground receiving and processing system for high resolution satellite images. The developed system will be adapted and operated to receive, process and distributes images acquired from of the second Korean Multi-purpose Satellite (KOMPSAT-2), which will be launched in 2004. This project had initiated to develop and Koreanize the state-of-the-art technologies for the ground receiving system for high resolution remote sensing images, which range from direct ingestion of image data to the distribution of products through precise image correction. During four years development from Dec. 1998 until Aug. 2002, the system had been verified in various ways including real operation of custom-made systems such as a prototype system for SPOT and a commercialized system for KOMPSAT-1. Currently the system is under customization for installation at KOMPSAT-2 ground station. In this paper, we present accomplished work and future work.