퍼지집합이론을 이용한 지상 LiDAR 자료의 분류기법 = Classification techniques of the Terrestrial LiDAR data using Fuzzy set theory

다국어 초록 (Multilingual Abstract)

When classifying two types of objects, there can appear an ambiguous and uncertain overlapping interval; in which case, the classification can proceed, by setting this interval as a fuzzy interval.
As such, through the application of a fuzzy set theory during the classification process and by quantifying and objectifying the ambiguousness of a subjective belief or determination, the reliability about the treatment results can be improved.
To this end, a wooden board, vegetation, concrete, tile and marble were fabricated into 40 cm x 40 cm test models and the raw data obtained from the Terrestrial LiDAR were classified through the use of a fuzzy set theory.
As a result of measuring the accuracy of classifying between the wooden boards-and-vegetation, concrete-and-tile, wooden boards-and-concrete, and marble-and-concrete, accuracy of about 92%∼96% was observed.
Therefore, confirmed is the fact that satisfactory results can be obtained by classifying the color information values and reflection intensity values ​​from the Terrestrial LiDAR, through the use of the fuzzy set theory.