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접합영상의 화질개선을 위한 히스토그램 정합과 접합선 처리
유은진(Yoo, Eun Jin),이동천(Lee, Dong-Cheon) 한국측량학회 2017 한국측량학회 학술대회자료집 Vol.2017 No.4
Image is effective data that visually conveys various information. Image mosaicking is getting popular and demands of mosaicked image increase. Since the acquired images have different quality even in the same area, the method for generating mosaicked images for minimizing radiometric quality between images is the most important. Improvement of the image quality has been actively studied in various fields such as electronic engineering and broadcasting electronics. The proposed method in this paper aims to improve image quality of the mosaicked image using histogram matching and feathering.
유은진(Yoo, Eun Jin),이동천(Lee, Dong-Cheon) 한국측량학회 2016 한국측량학회 학술대회자료집 Vol.2016 No.4
Delineation of the accurate building boundaries is crucial to provide reliable spatial products such as digital maps and city models. In LiDAR(Light Detection and Ranging) data, physical boundaries of the building exist somewhere between outer-most points on the roofs and surrounding points on the ground. The positional accuracy of the boundaries is influenced by ground sampling distance, and only a few points could be obtained from the sidewalls because airborne laser systems collect data from near-nadir direction. This paper presents a method to estimate physical building boundaries from the LiDAR data. Firstly, outer-most points on the buildings were identified, then the nearest points on the ground were determined at every point along the outer-most boundaries. Secondly, Midpoints were computed using outer-most points and the nearest points. Finally, refinement processes including model key point detection and regularization were performed since the midpoints represent approximation of the physical boundaries.