• Title/Summary/Keyword: 인공위성 화상데이터

Search Result 19, Processing Time 0.021 seconds

Landsat TM Image Compression Using Classified Bidirectional Prediction and KLT (영역별 양방향 예측과 KLT를 이용한 인공위성 화상데이터 압축)

  • Kim Seung-Jin;Kim Tae-Su;Park Kyung-Nam;Kim Young-Choon;Lee Kuhn-Il
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.42 no.1
    • /
    • pp.1-7
    • /
    • 2005
  • We propose an effective Landsat TM image compression method using the classified bidirectional prediction (CBP), the classified KLT and the SPIHT. The SPIHT is used to exploit the spatial redundancy of feature bands selected in the visible range and the infrared range separately. Regions of the prediction bands are classified into three classes in the wavelet domain, and then the CBP is performed to exploit the spectral redundancy. Residual bands that consist of difference values between the original band and the predicted band are decorrelated by the spectral KLT Finally, the three dimensional (3-D) SPIHT is used to encode the decorrelated coefficients. Experiment results show that the proposed method reconstructs higher quality Landsat TM image than conventional methods at the same bit rate.

Satellite Image Data Coding Using Wavelet Transform and Selectively Predictive Vector Quantization (웨이브릿 변환과 선택적 예측 벡터 양자화를 이용한 인공위성 화상데이터의 부호화)

  • 반성원;김병주;김경규;정원식;김영춘;신용달;김건일
    • Journal of the Korean Institute of Telematics and Electronics S
    • /
    • v.36S no.4
    • /
    • pp.38-44
    • /
    • 1999
  • 본 논문에서는 웨이브릿 변환과 선택적 예측 벡터양자화를 이용한 인공위성 화상데이타 부호화 방법을 제안하였다. 이 방법에서는 대역내 중복성을 제거하기 위하여 각각의 대역을 웨이브릿 변환하고, 대역간 중복성을 제거하기 위해 에측하는 대역으로부터 생성된 임계치 지도를 이용하여 선택적 예측 벡터양자화를 행한다. 따라서 이 방법은 대역내 및 대역간 중복성을 효과적으로 제거하기 때문에 부호화 효율을 향상시킨다. 이 방법을 실제 Landsat TM 인공위성 화상데이타에 실험한 결과 기존의 방법에 비하여 부호화 효율이 향상됨을 확인하였다.

  • PDF

A Study on the Extraction of the Matsucoccus Thunbergianae Miller et Park Damaged Area from Satellite Image Data (인공위성 화상데이터를 이용한 솔껍질깍지벌레 피해지역의 추출기법에 관한 연구)

  • 안기원;이효성;서두천
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
    • /
    • v.15 no.2
    • /
    • pp.287-298
    • /
    • 1997
  • The main object of this study was to prove the effectiveness of satellite image data for extraction of the Matsucoccus Thenbergianae Miller ビt Park damaged area. The effectiveness of extraction of damaged area was improved by using the BRCT(Backwards radiance correction transformation) with DEM for normalization of topographic effects. The surface analysis of the extracted damaged area was revealed that the damage was started at south-west slope with the aspect of 7 to 18 degrees, and 50% to 70% of the highest altitude mountains. The direction of damage attached by the Matsucoccus Thunbergianae Miller et Park was able to predict through the analysis of periodical of years' images

  • PDF

Extraction of Bridge Status Using Satellite Image Data (인공위성 화상데이터를 이용한 교량위치의 추출)

  • 안기원;조병진;서두천
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
    • /
    • v.18 no.1
    • /
    • pp.33-40
    • /
    • 2000
  • The aim of this study is to extract bridge location(center line and width of a bridge) from SPOT XS data with 20. The boundary pixels were computed to get the mixture proportions of classes and this mixture proportions were used to extract center line and width of a bridge. The accuracy was tested by comparing the extracted bridge center line coordinate and width to the existing 1:5,000 scale national digital map and field survey data. The results of the comparison show that the measuring accuracy of the bridge center line coordinates and width are $\pm$2.9 m and $\pm$4.1 m.

  • PDF

Multispectral Image Compression Using Classified Interband Bidirectional Prediction and Extended SPHT (영역별 대역간 양방향 예측과 확장된 SPIHT를 이용한 다분광 화상데이터의 압축)

  • Kim, Seung-Jin;Ban, Seong-Won;Kim, Byung-Ju;Park, Kyung-Nam;Kim, Young-Choon;Lee, Kuhn-Il
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.39 no.5
    • /
    • pp.486-493
    • /
    • 2002
  • In this paper, we proposed the effective multispectral image compression method using CIBP(classified interband bidrectional prediction) and extended SPIHT(set partition in hierarchical trees) in wavelet domain. We determine separately feature bands that have the highest correlation with other bands in the visible range and in the infrared range of wavelengths. Feature bands are coded to remove the spatial redundancy with SPIHT in the wavelet domain. Prediction bands that have high correlation with feature bands are wavelet transformed and they are classified into one of three classes considering reflection characteristics of the baseband. For Prediction bands, CIBP is performed to reduce the spectral redundancy. for the difference bands between prediction bands and the predicted bands, They are ordered to upgrade the compression efficiency of extended SPIHT with the largest error magnitude. The arranged bands are coded to compensate the prediction error with extended SPIHT. Experiments are carried out on the multispectral images. The results show that the proposed method reconstructs higher quality images than images reconstructed by the conventional methods at the same bit rate.

Land Cover Monitoring of the Korean Peninsula Using Multi-Temporal NOAA-AVHRR Data (NOAA-AVHRR 자료분석에 근거한 한반도 지표피복의 변화)

  • 구자민;홍석영;윤진일
    • Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
    • /
    • 2001.06a
    • /
    • pp.147-150
    • /
    • 2001
  • 최근 넓은 지역을 대상으로 토지이용 및 식생분포 등을 조사하기 위하여 인공위성 원격탐사기술이 활발히 사용되고 있다. 위성화상자료를 이용한 토지이용분석 사례는 다양한 분야에서 발견되는데, 미국지질청(USGS)의 EROS 데이터센터, 네브라스카 대학, 유럽공동체에서는 NASA의 도움을 받아 전 지구의 지표피복을 1km 해상도로 분류한 바 있다(http://edcdaac.usgs.gov).(중략)

  • PDF

$\cdot$마이크로파 디바이스의 현황과 전망

  • 대한전기협회
    • JOURNAL OF ELECTRICAL WORLD
    • /
    • s.257
    • /
    • pp.70-77
    • /
    • 1998
  • 21세기를 지향하여 음성뿐만 아니라 데이터, 나아가서는 화상까지도 쌍방향전송을 가능케하는 고도정보통신, 소위 멀티미디어의 세계가 구현되어 가고 있다. 이 멀티미디어의 세계는 (1)고속$\cdot$대용량, (2)글로벌, (3)모바일(퍼스널)의 키워드로 특징지을 수 있는데, 여기에는 화합물반도체를 베이스로하는 광$\cdot$마이크로파디바이스가 깊이 관련되어 있다. 마이크로파디바이스를 살펴보면 소위 ''텔레데식'' 계획으로 대표되는 다량의 인공위성을 이용한 글로벌한 고속$\cdot$대용량통신에는 30 GHz라는 초고주파기술이 필수이며, HEMT등의 고성능화합물 반도체디바이스가 반드시 필요하다. 또 2.5~10Gbps, 나아가서는 40Gbps의 고속$\cdot$장거리 통신에는 광 디바이스가 결정적인 역할을 하고 있다. 한편 지수 함수적으로 증대하고 있는 정보의 축적은 광디스크의 진보에 힘입은 바가 크다. 보다 많은 대용량 화상데이터의 축적과 읽기$\cdot$쓰기를 할 수 있는 DVD(Digital Versatile Disc)-ROM, DVD-RAM에 대하여도 시장 조성이 목전에 다가오고 있다. 이와 같이 광$\cdot$마이크로파디바이스는 정보$\cdot$통신의 프런트 엔드를 걸머진 중핵디바이스로서 앞으로 멀티미디어를 근간으로 하여 성장해 갈 것으로 생각된다.

  • PDF

Comparison of Different Methods to Merge IRS-1C PAN and Landsat TM Data (IRS-1C PAN 데이터와 Landsat TM 데이터의 종합방법 비교분석)

  • 안기원;서두천
    • Korean Journal of Remote Sensing
    • /
    • v.14 no.2
    • /
    • pp.149-164
    • /
    • 1998
  • The main object of this study was to prove the effectiveness of different merging methods by using the high resolution IRS(Indian Remote Sensing Satellite)-1C panchromatic data and the multispectral Landsat TM data. The five methods used to merging the information contents of each of the satellite data were the intensity-hue-saturation(IHS), principal component analysis(PCA), high pass filter(HPF), ratio enhancement method and look-up-table(LUT) procedures. Two measures are used to evaluate the merging method. These measures include visual inspection and comparisons of the mean, standard deviation and root mean square error between merged image and original image data values of each band. The ratio enhancement method was well preserved the spectral characteristics of the data. From visual inspection, PCA method provide the best result, HPF next, ratio enhancement, IHS and LUT method the worst for the preservation of spatial resolution.

Multispectral Image Data Compression Using Classified Prediction and KLT in Wavelet Transform Domain (웨이블릿 영역에서 분류 예측과 KLT를 이용한 다분광 화상 데이터 압축)

  • 김태수;김승진;이석환;권기구;김영춘;이건일
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.29 no.4C
    • /
    • pp.533-540
    • /
    • 2004
  • This paper proposes a new multispectral image data compression algorithm that can efficiently reduce spatial and spectral redundancies by applying classified prediction, a Karhunen-Loeve transform (KLT), and the three-dimensional set partitioning in hierarchical trees (3-D SPIHT) algorithm in the wavelet transform (WT) domain. The classification is performed in the WT domain to exploit the interband classified dependency, while the resulting class information is used for the interband prediction. The residual image data on the prediction errors between the original image data and the predicted image data is decorrelated by a KLT. Finally, the 3-D SPIHT algorithm is used to encode the transformed coefficients listed in a descending order spatially and spectrally as a result of the WT and KLT. Simulation results showed that the reconstructed images after using the proposed algorithm exhibited a better quality and higher compression ratio than those using conventional algorithms.

Multispectral Image Compression Using Classified Interband Prediction and Vector Quantization in Wavelet domain (웨이브릿 영역에서의 영역별 대역간 예측과 벡터 양자화를 이용한 다분광 화상 데이타의 압축)

  • 반성원;권성근;이종원;박경남;김영춘;장종국;이건일
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.25 no.1B
    • /
    • pp.120-127
    • /
    • 2000
  • In this paper, we propose multispectral image compression using classified interband prediction and vector quantization in wavelet domain. This method classifies each region considering reflection characteristics of each band in image data. In wavelet domain, we perform the classified intraband VQ to remove intraband redundancy for a reference band image that has the lowest spatial variance and the best correlation with other band. And in wavelet domain, we perform the classifled interband prediction to remove interband redundancy for the remaining bands. Then error wavelet coefficients between original image and predicted image are intraband vector quantized to reduce prediction error. Experiments on remotely sensed satellite image show that coding efficiency of theproposed method is better than that of the conventional method.

  • PDF