사면지형에서 지상라이다 자료의 필터링 자동화 모듈개발 = (A) development of automatic module for filtering of terrestrial LiDAR data in sloped terrain

다국어 초록 (Multilingual Abstract)

In order to classify the raw data of ground surface and non-ground surface acquired from a terrestrial LiDAR, this study developed an automatic module for a complex filtering of global and regional areas by using an algorithm derived from multiple linear regression analysis ; and, by using this developed module, this study conducted the filtering of the raw data acquired from observing the actual sloped terrain using a terrestrial LiDAR and arrived at the following conclusions.
In the case of a sloped terrain, when a complex filtering was conducted by dividing the sloped terrain with the topographical line as a reference, it resulted in an improvement in filtering accuracy of 92%.
As such, when filtering was applied by dividing the observation areas into areas A and B with the topographical line as a reference in order to improve the filtering accuracy, it was seen that the filtering accuracy improved by about 8〜9% as compared to when filtering was applied without dividing the observation area.
In addition, considering the fact that the accuracy improved by 5〜7% when the sloped sides of a multi-curvature terrain were divided and a complex filtering applied as compared to when filtering was applied for the entire area or by regions, it can be asserted that the accuracy was higher when a complex filtering was conducted by dividing the sloped areas where the slope is not constant due to the multi-curvature of terrain.
Also, by applying the automatic module for filtering developed using Visual Basic Application on the raw data acquired from a terrestrial LiDAR in a sloped terrain, it was possible to efficiently classify the ground surface and non-ground surface data from a terrestrial LiDAR.
Therefore, it is deemed that a performance of high accuracy for terrain analysis can be expected when this is applied in the production of maps for areas of landslide hazard caused by the precipitation levels and heavy rains that have increased sharply of recent and the production of digital elevation models for the implementation of geo-spatial information.

목차 (Table of Contents)

• 제 1 장 서 론 1
• 1.1. 연구배경 및 목적 1
• 1.2. 연구동향 3
• 1.3. 연구방법 및 절차 7
• 1.3.1. 연구방법 7
• 1.3.2. 연구절차 9
• 제 2 장 이론적 배경 10
• 2.1. 라이다(LiDAR) 10
• 2.1.1. 지상 라이다(Terrestrial LiDAR) 10
• 2.1.2. 항공 라이다(Airborne LiDAR) 14
• 2.2. 필터링(Filtering) 16
• 2.2.1. 개요 16
• 2.2.2. 기존 필터링기법 18
• 2.3. 사면지형 23
• 2.3.1. 정의 23
• 2.3.2. 절토사면 분류 25
• 2.3.3. 절토사면 구성 29
• 제 3 장 필터링 기법 개발 32
• 3.1. 평면방정식 32
• 3.1.1. 기본이론 32
• 3.1.2. 적용방법 33
• 3.2. 평면방정식의 보정 38
• 3.3. 평면방정식의 정도(Accuracy) 40
• 3.3.1 표준오차 40
• 3.3.2 결정계수 40
• 3.4. 필터링 자동화 모듈 개발 41
• 3.4.1. 라이다 원시자료의 Import 44
• 3.4.2. View Point 45
• 3.4.3. 필터링(Filtering) 도구 45
• 3.4.4. 정확도 평가 49
• 제 4 장 적용 및 분석 53
• 4.1. 적용방법 및 절차 53
• 4.1.1. 적용방법 53
• 4.1.2. 적용절차 54
• 4.2. 관측 자료 55
• 4.2.1. 관측 장비 55
• 4.2.2. 관측 대상 지역 56
• 4.3. 필터링 기법 적용 60
• 4.3.1. 평면방정식의 정도 60
• 4.3.2. 정확도 평가 66
• 제 5 장 결 론 95
• 참 고 문 헌 97
• 부 록 105
• 필터링 자동화 모듈 소스 106
• ABSTRACT 137
• 감사의 글 139