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    ASTER 위성영상을 이용한 지형정보 추출 및 토지이용 변화검출 = Extraction Topographic Information and Change Detection of Land Use Using ASTER Satellite Images

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    https://www.riss.kr/link?id=T10751780

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) on-board the NASA's Terra spacecraft provides along-track digital stereo image data at 15m resolution with a base-height ratio 0.6. It also provides fourteen multi-spectral image data from visible to thermal infrared.
    So it is possible to not only generate topographic information from stereo images but extract information about vegetation distribution, landcover, urban growth, urban environment and so on from multi-spectral images of ASTER data.
    Automated stereocorrelation procedure was implemented using the ENVI 4.1 software to derive DEMs with 15×15m in 43km long and 50 km wide area using the ASTER stereo images. The accuracy of DEMs was analyzed in comparison with those which were obtained from digital topographic map of 1:25,000 scale.
    Results indicate that root-mean-square error (RMSE) in elevation between ±7 and ±20m could be achieved. Excluding the small areas which were covered with clouds, waters and building as the factors which make RMSE value exceed about 10m, the accuracy of DEMs showed RMSE of 5.789m.
    Landcovers of Gumi City area were respectively classified by applying supervised classification method to multi-spectral image data of Landsat TM, ETM^(+) and ASTER, and then changes of the area were detected by class. It was seen that the built-up area was expanded by almost twice for the period of 19 years i.e. from 1985 to 2004.
    We expect that various scientific findings will be obtained by using the ASTER data.
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    The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) on-board the NASA's Terra spacecraft provides along-track digital stereo image data at 15m resolution with a base-height ratio 0.6. It also provides fourteen multi-spectral ima...

    The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) on-board the NASA's Terra spacecraft provides along-track digital stereo image data at 15m resolution with a base-height ratio 0.6. It also provides fourteen multi-spectral image data from visible to thermal infrared.
    So it is possible to not only generate topographic information from stereo images but extract information about vegetation distribution, landcover, urban growth, urban environment and so on from multi-spectral images of ASTER data.
    Automated stereocorrelation procedure was implemented using the ENVI 4.1 software to derive DEMs with 15×15m in 43km long and 50 km wide area using the ASTER stereo images. The accuracy of DEMs was analyzed in comparison with those which were obtained from digital topographic map of 1:25,000 scale.
    Results indicate that root-mean-square error (RMSE) in elevation between ±7 and ±20m could be achieved. Excluding the small areas which were covered with clouds, waters and building as the factors which make RMSE value exceed about 10m, the accuracy of DEMs showed RMSE of 5.789m.
    Landcovers of Gumi City area were respectively classified by applying supervised classification method to multi-spectral image data of Landsat TM, ETM^(+) and ASTER, and then changes of the area were detected by class. It was seen that the built-up area was expanded by almost twice for the period of 19 years i.e. from 1985 to 2004.
    We expect that various scientific findings will be obtained by using the ASTER data.

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    목차 (Table of Contents)

    • 목차 = ⅰ
    • 표차례 = ⅲ
    • 그림차례 = ⅳ
    • Abstract = ⅵ
    • 제1장 서론 = 1
    • 목차 = ⅰ
    • 표차례 = ⅲ
    • 그림차례 = ⅳ
    • Abstract = ⅵ
    • 제1장 서론 = 1
    • 1.1 연구 배경 및 목적 = 1
    • 1.2 연구동향 = 2
    • 1.3 연구 범위 및 방법 = 4
    • 제2장 자료처리를 위한 기본 이론 = 7
    • 2.1 영상 정합 = 7
    • 2.1.1 영역기반 정합 = 7
    • 2.1.2 형상기반 정합 = 10
    • 2.1.3 관계형 정합 = 10
    • 2.1.4 영상정합의 수행과정 = 11
    • 2.2 에피폴라 영상재배열 = 11
    • 2.3 시차 = 13
    • 2.4 수치표고모형 = 16
    • 2.4.1 기하학적 구조 = 16
    • 2.4.2 정확도 = 17
    • 2.5 보간 = 19
    • 2.5.1 이동 다항식 표면법 = 20
    • 2.5.2 표면가산법 = 23
    • 2.5.3 격자요소에 의한 보간 = 23
    • 2.5.4 삼각형에서의 보간 = 24
    • 2.5.5 등고선에 의한 보간 = 26
    • 2.6 영상 분류 = 26
    • 2.6.1 무감독 분류 = 27
    • 2.6.2 감독 분류 = 28
    • 제3장 연구지역 및 사용재료 = 30
    • 3.1 연구지역 = 30
    • 3.2 영상자료 = 31
    • 3.2.1 ASTER 스테레오 영상 = 31
    • 3.2.2 Landsat 영상 = 35
    • 3.2.3 수치지형도 = 38
    • 제4장 자료 처리 및 분석 = 40
    • 4.1 지형정보 추출 = 40
    • 4.1.1 ASTER 영상으로부터 DSM 생성 = 40
    • 4.1.2 수치지형도로부터 DEM 생성 = 45
    • 4.1.3 정확도 분석 = 46
    • 4.2 토지피복/토지이용 = 50
    • 4.2.1 토지피복/토지이용 분류 = 50
    • 4.2.2 정확도 분석 = 56
    • 4.2.3 변화탐지 = 58
    • 제5장 결론 = 61
    • 참고문헌 = 62
    • 감사의 글 = 67
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