[논문]Planetscope 영상을 이용한 KOMPSAT-3/3A 영상의 기하품질 향상 방안 연구

정민영; 강원빈; 송아람; 김용일

doi:10.7848/ksgpc.2020.38.4.327

Planetscope 영상을 이용한 KOMPSAT-3/3A 영상의 기하품질 향상 방안 연구
A Study on the Improvement of Geometric Quality of KOMPSAT-3/3A Imagery Using Planetscope Imagery 원문보기

한국측량학회지 = Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, v.38 no.4, 2020년, pp.327 - 343

정민영 (Dept. of Civil and Environmental Engineering, Seoul National University) , 강원빈 (Dept. of Civil and Environmental Engineering, Seoul National University) , 송아람 (Dept. of Civil and Environmental Engineering, Seoul National University) , 김용일 (Dept. of Civil and Environmental Engineering, Seoul National University)

초록
AI-Helper

본 연구는 효율적인 재난 피해 분석을 위해 재난 후 KOMPSAT (Korea Multi-Purpose Satellite)-3/3A Level 1R 영상의 기하품질을 향상하는 방법을 제안한다. 제안 기법은 재난상황에 대한 데이터 수급의 한계를 해결하고자, 영상 수급이 원활한 Planetscope 정사영상과 KOMPSAT-3/3A 영상에 격자기반 SIFT (Scale Invariant Feature Transform) 기법을 적용하여 RPC (Rational Polynomial Coefficient) 보정에 필요한 GCP (Ground Control Point, 지상기준점)를 취득한다. 제안 기법을 검증하기 위해 2019년 4월 강릉 산불 피해 지역의 KOMPSAT-3 영상과 토지피복의 다양성을 고려하여 추가된 대전지역 KOMPSAT-3A 영상에 제안 기법을 적용하였다. 생성된 KOMPSAT-3/3A 정사영상의 기하품질을 검증한 결과, KOMPSAT-3 다중분광 영상의 위치오차 (RMSE: Root Mean Square Error)가 6.62화소에서 1.25화소로, KOMPSAT-3A의 경우 7.03화소에서 1.66화소로 감소되어 영상의 기하품질이 향상됨을 확인하였다. 기하품질이 향상된 KOMPSAT-3 정사영상은 산불 발생 전 Planetscope 정사영상과 비교되었으며, 이를 통해 향상된 기하품질이 산불 피해 지역 분석에 적합하다고 판단하였다. 본 연구는 GCP 취득의 대안으로 Planetscope 정사영상의 사용 가능성을 보여주었으며, 제안 기법은 재난 상황뿐만 아니라 Planetscope 영상의 수급이 가능한 다양한 KOMPSAT-3/3A 활용연구에 적용될 수 있을 것으로 예상된다.

Abstract ▼ AI-Helper

This study proposes a method to improve the geometric quality of KOMPSAT (Korea Multi-Purpose Satellite)-3/3A Level 1R imagery, particularly for efficient disaster damage analysis. The proposed method applies a novel grid-based SIFT (Scale Invariant Feature Transform) method to the Planetscope ortho-imagery, which solves the inherent limitations in acquiring appropriate optical satellite imagery over disaster areas, and the KOMPSAT-3/3A imagery to extract GCPs (Ground Control Points) required for the RPC (Rational Polynomial Coefficient) bias compensation. In order to validate its effectiveness, the proposed method was applied to the KOMPSAT-3 multispectral image of Gangnueng which includes the April 2019 wildfire, and the KOMPSAT-3A image of Daejeon, which was additionally selected in consideration of the diverse land cover types. The proposed method improved the geometric quality of KOMPSAT-3/3A images by reducing the positioning errors(RMSE: Root Mean Square Error) of the two images from 6.62 pixels to 1.25 pixels for KOMPSAT-3, and from 7.03 pixels to 1.66 pixels for KOMPSAT-3A. Through a visual comparison of the post-disaster KOMPSAT-3 ortho-image of Gangneung and the pre-disaster Planetscope ortho-image, the result showed appropriate geometric quality for wildfire damage analysis. This paper demonstrated the possibility of using Planetscope ortho-images as an alternative to obtain the GCPs for geometric calibration. Furthermore, the proposed method can be applied to various KOMPSAT-3/3A research studies where Planetscope ortho-images can be provided.

주제어

표/그림 (11)

그림 Fig. 1. Workflow of study
그림 Fig. 2. (a) Grid of Planetscope image and (b) the corresponding grid of KOMPSAT-3/3A
그림 Fig. 3. KOMPSAT-3/3A images geometrically corrected using the proposed method: (a) Study site 1, (b) Study site 2.
표 Table 1. Study sites and data specifications
그림 Fig. 4. Extracted matching points on the KOMPSAT-3/3A level 1R images.
표 Table 2. Positioning errors of the orthorectified images (unit : pixel (meter))
그림 Fig. 5. Enlarged orthorectified KOMPSAT-3/3A images with NGII digital map: (a) Using the vendor-provided RPCs, (b) Using the compensated RPCs.
그림 Fig. 6. Box plot of the positioning errors of each image in Table 2
그림 Fig. 7. Checkerboard mosaiced images between Planetscope Level 3B Analytic images and orthorectified KOMPSAT-3/3A images: (a) Using the vendor-provided RPCs, (b) Using the compensated RPCs.
그림 Fig. 8. Checkerboard mosaiced images over the mountain areas between Planetscope Level 3B Analytic images and orthorectified KOMPSAT-3/3A images: (a) Using the vendor-provided RPCs, (b) Using the compensated RPCs.
그림 Fig. 9. Damaged area (study site 1) by the wild fire in 2019: (a) Planetscope false color (NIR-G-B) image at 10:42 on 2019/04/04, (b) Planetscope false color image at 10:38 on 2019/04/05, (c) Geometrically corrected KOMPSAT-3 false color image at 13:25 on 2019/04/05. The small images in (b) and (c) marked with black lines are derived from (a) to show consistency between the images. (d)-(f): Enlarged post-disaster orthorectified NDVI images compared with the pre-disaster Planetscope NDVI image over subarea A

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저자의 다른 논문 :

표제어: PCR

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