Enabling Standardized Encoding of Sensor Positioning Information using ISO 19130-3 Standard

ISO/TC211 standards used

ISO 19130-1:2018 Geographic information — Imagery sensor models for geopositioning — Part 1: Fundamentals
ISO/TS 19130-2:2014 Geographic information — Imagery sensor models for geopositioning — Part 2: SAR, InSAR, lidar and sonar
ISO/PRF TS 19130-3 Geographic information — Imagery sensor models for geopositioning — Part 3: Implementation Schema

How the standards are used in our processes/projects

Geolocation information is an important feature of remote sensing image data that is captured through a variety of passive or active observation sensors, such as push-broom electro-optical sensor, synthetic aperture radar (SAR), light detection and ranging (LIDAR) and sound navigation and ranging (SONAR). As a fundamental processing step to locate an image, geo-positioning is used to determine the ground coordinates of an object from image coordinates. ISO 19130-1 and ISO 19130-2 introduced a physical sensor model, a true replacement model, and a correspondence model for the geo-positioning process. However, a standardized encoding for geo-positioning sensor models is still missing for the remote sensing community.

During the development of ISO/TC 211 19130-3 standard, we have successfully applied it in active observation and passive observation processes, respectively.

Benefits for the user

By enabling a standardized description of sensor models used to produce remote sensing data, ISO/TC 211 19130-3 can promote data mobility, interoperability, and integration in the remote sensing domain, especially from the following three aspects. First, the geo-positioning process is important for data production in ground segment. However, most of them are independently designed and lack reusable models for geo-positioning. This proposed sensor model encoding standard is expected to fill this gap. Second, in emergency response situations, it is critical important to promptly and precisely align diverse image data acquired by different sensor systems. The standardized geo-positioning description provided in 19130-3 helps facilitate data integration in this pre-processing step. Last but not the least, in the sensor web context, it is necessary to accurately set or obtain the geometric features of various sensors and platforms. The encoding method proposed in 19130-3 helps enable a one-size-fits-all solution to support a variety of sensors and platforms.


Tsinghua University

Contact person
Dr. Yuqi Bai, November 2020