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논문 기본 정보

자료유형
학위논문
저자정보

이경민 (전북대학교, 전북대학교 일반대학원)

지도교수
권현한
발행연도
2013
저작권
전북대학교 논문은 저작권에 의해 보호받습니다.

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이 논문의 연구 히스토리 (3)

초록· 키워드

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In the process of becoming more complex and diverse society followed by economic and industrial development, remote sensing using satellite is on the rise in order to promptly grasp the change in land information. However, although there was the necessity to maintain traditional method of acquiring accurate information through digital map made through time and money consuming site investigation since low spatial resolution of previous satellite image is difficult to be used as reference data with low accuracy compared to measurement by site investigation, the range of its application is gradually becoming more diverse such as making of coastline map, digital map, and others as high resolution image with spatial resolution of under 1m was introduced with continuous advancement in remote sensing devices.
Digitizing process of current digital map manufacturing method which expresses the object through image recording and site measurement with naked eye is a method in which operator draws the object in person. Since it is manual and time and effort consuming method, it has disadvantage that the quality of result varies with the expertise of operator and type of software. Since errors may occur in subjective edition process of operator in such digitizing and vector edition process of digital map, it may bring about many problems in using it as reference data for accurate analysis of various studies. Therefore, it would have significance as reference data only when object is drawn through objective judgment instead of subjective method through operator in expressing the object to overcome such disadvantage.
Therefore, the algorithm for extraction of changed road network was proposed in this study for the renewal of road network on digital map through automatic extraction of road network using high resolution aerial orthophotography. In the first stage, road area was automatically extracted and error was removed through range expansion technique. In the second stage, changed area in road network was extracted through cva technique. In the third stage, the contour of road network extracted through edge filter was renewed to numerical map. At last, the accuracy of algorithm proposed in this study was examined through area comparison analysis of renewed road network.

목차

제1장 서론 1
1.1 연구배경 및 목적 1
1.2 연구연혁 3
1.3 연구내용 및 범위 5
제2장 영상의 표현 7
2.1 영상의 구성 7
2.2 컬러모델(Color Model) 9
2.2.1 RGB 컬러모델 9
2.2.2 CMY(K) 컬러모델 11
2.2.3 HSI 컬러모델 13
제3장 영상처리기법 17
3.1 영역기반 분할기법 17
3.1.1 영역 분리, 병합 기법 17
3.1.2 영역확장(Region Growing)기법 19
3.2 Morphology 기법 21
3.2.1 확장(Dilation) 22
3.2.2 침식(Erosion) 23
3.2.3 열림(Opening) 24
3.2.3 닫힘(Closing) 25
3.3 에지 연산자를 이용한 경계 추출 기법 25
3.3.1 1차 미분 연산자 27
3.3.2 2차 미분 연산자 29
3.4 변화탐지기법 31
3.4.1 CVA(Change Vector Analysis) 32
제4장 적용 및 고찰 37
4.1 연구대상지역 선정 및 자료 구축 37
4.2 HSI 컬러 모델 변환 41
4.3 영역확장기법을 적용한 유사화소 객체 추출 42
4.4 모폴로지(Morphology) 연산을 통한 오류영역 제거 48
4.5 CVA(Change Vector Analysis)를 적용한 변화탐지 50
4.6 결과 분석 및 정확도 평가 53
4.6.1 변화탐지 결과 영상의 오류 분석 53
4.6.2 영상을 이용한 변화된 지역 수치지도 갱신 58
4.6.3 추출된 변화지역 여상의 Vector 변환 63
4.6.4 수치지도 갱신 64
4.6.5 정확도 분석 69
제5장 결론 75
참고문헌 76

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