Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Frame Sensor Modeling Using Standard Interface

표준 인터페이스를 적용한 프레임 센서 모델링에 관한 연구

  • Received : 2013.10.30
  • Accepted : 2013.12.20
  • Published : 2014.02.28
Download PDF
⟨ Previous Next ⟩

Abstract

Until recently, photogrammetric applications for processing the satellite images and remotely sensed data have been used in different structure of functions and interfaces for sensor modeling by each developer. Thus, a standardized utilization procedure was necessary to solve the problems, such as expandability, cost, inefficiency of sources which were resulted from different approaches. Therefore, National Geospatial Intelligence Agency (NGA) provided unified interfaces by developing Community Sensor Model (CSM) to sensor models in same way. In this study, we suggested the method of design and analyzed main functions needed modeling for the frame sensor using CSM Application Program Interface (API) provided by NGA. We also applied the designed structure to the modeling. The implemented CSM was verified by groundToImage and imageToGround. In the future, the active R&D is expected with using CSM due to the cost saving effect of software development and remarkable expandability of sensor.

최근까지 원격탐사자료 및 위성영상을 처리하는 사진측량 응용프로그램은 센서모델링을 위해 제작자 마다 다른 함수구조와 인터페이스를 사용해 왔다. 이는 확장성, 비용, 소스의 비효율성 등의 문제를 야기하여 규격화된 활용방안이 필요하였다. National Geospatial Intelligence Agency (NGA)에서는 센서모델을 동일한 방법으로 접근할 필요성에 따라 Community Sensor Model (CSM)을 개발하여 통일된 인터페이스를 제공하였다. 본 연구에서는 NGA가 제공하는 CSM Application Program Interface (API)를 이용하여 프레임 센서를 대상으로 모델링에 필요한 주요함수를 분석하고 설계방법을 제시하였으며 설계된 구조를 가지고 모델링에 적용해 보았다. 구현된 CSM은 groundToImage와 imageToGround를 이용하여 검증하였다. CSM 이용 시 소프트웨어의 개발비용 절감 효과와 센서모델의 확장성이 뛰어나므로 향후 이를 이용한 연구개발이 활발할 것으로 기대된다.

Keywords

References

  1. Cho, B.W., Y.W. Lee, and S.Y. Choi, 1997. A Study on the Map Accuracy Assessment of Positioning Data Using Statistical Approach Analysis, Journal of The Korean Society for Geo-Spatial Information System, 5(1): 71-80(in Korean with English abstract).
  2. Choi, S.Y., and J.M. Kang, 2012. Accuracy Investigation of RPC-based Block Adjustment Using High Resolution Satellite Images GeoEye-1 and WorldView-2, Journal of The Korean Society of Surveying Geodesy Photogrammetry and Cartography, 30(2): 107-116(in Korean with English abstract). https://doi.org/10.7848/ksgpc.2012.30.2.107
  3. Di, K., R. Ma, and R.X. Li., 2003. Rational Functions and Potential for Rigorous Sensor Model Recovery, Photogrammetric Engineering and Remote Sensing, 69(1): 33-41. https://doi.org/10.14358/PERS.69.1.33
  4. Kim, E.M., 2012. Methodology to Develop the Technology of Web-based Satellite Photogrammetry, Journal of The Korean Society for Geo-Spatial Information System, 20(1): 117-123(in Korean with English abstract). https://doi.org/10.7319/kogsis.2012.20.1.117
  5. Kim, K.E., 2005. Computation of 3D Coordinates from Stereo Images with RPCs, Korean Journal of Remote Sensing, 21(2): 135-143(in Korean with English abstract). https://doi.org/10.7780/kjrs.2005.21.2.135
  6. Kim, T.-J., S.-B. Kim, and D.-S. Shin, 2000. Camera Modelling of Linear Pushbroom Images - Quality analysis of various algorithms, Korean Journal of Remote Sensing, 21(2): 135-143(in Korean with English abstract). https://doi.org/10.7780/kjrs.2005.21.2.135
  7. Lee, K.W., and H.K. Kang, 2010. ISO and OGC Standards for Geo-spatial Image Information and Suggestions for Their Applications, Korean Journal of Remote Sensing, 26(4): 451-464(in Korean with English abstract). https://doi.org/10.7780/kjrs.2010.26.4.451
  8. NGA standardization document, 2010. Community Sensor Model Technical Requirements Document, National Geospatial-Intelligence Agency.
  9. NGA standardization document, 2011. Light Detection and Ranging(LIDAR) Sensor Model Supporting Precise Geopositioning, National Geospatial-Intelligence Agency.
  10. Rodarmel, C., M. Lee, and H. Theiss, 2011. Integrating Lidar into the Community Sensor Model Construct, Applied Imagery Pattern Recognition Workshop, IEEE, pp. 1-7.
  11. Theiss, H.J., and T.E. Johanesen, 2006. Independent Validation of Sensor Models in the Community Sensor Model Program, American Society for Photogrammetry and Remote Sensing.
  12. Wolf, P.R., and B.A. Dewitt, 2000. Elements of Photogrammetry with Applications in GIS 3rd edition.

Cited by

  1. 영상 분할 기반의 스테레오 매칭 기법을 이용한 DSM 생성 및 정확도 비교 vol.35, pp.3, 2014, https://doi.org/10.7780/kjrs.2019.35.3.5