Representing oceanographic vessels by means of sensor web enablement standards

Sorribas, Jordi; Olivé, J.; Diviacco, Paolo; Bermúdez, Luis

doi:10.1145/2451716.2451717

Cited by 4 publications

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, Poland launched an air quality monitoring network in Nowy Sacz using SensorML and Observations & Measurements (O&M) to describe the sensor [18]. Sorribas [19] used a SensorML profile and O&M profile to express research vessels and fixed stations to enable the discovery and exchange of marine observations and improve the descriptions of complex instrumentation and data structures. AFIS (The Advanced Fire Information System) in South Africa [12] used SensorML to describe their satellite sensor models in a sensor web application for regional vegetation fire detection.…”

Section: Sensor Models For Geo-positioning Process and Related Intern...mentioning

confidence: 99%

Toward a Standardized Encoding of Remote Sensing Geo-Positioning Sensor Models

et al. 2020

View full text Add to dashboard Cite

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. A variety of sensor models have been created to describe geo-positioning process. In particular, Open Geospatial Consortium (OGC) has defined the Sensor Model Language (SensorML) specification in its Sensor Web Enablement (SWE) initiative to describe sensors including the geo-positioning process. It has been realized using syntax from the extensible markup language (XML). Besides, two standards defined by the International Organization for Standardization (ISO), 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. Thus, the interoperability of remote sensing data between application systems cannot be ensured. In this paper, a standardized encoding of remote sensing geo-positioning sensor models is introduced. It is semantically based on ISO 19130-1 and ISO 19130-2, and syntactically based on OGC SensorML. It defines a cross mapping of the sensor models defined in ISO 19130-1 and ISO 19130-2 to the SensorML, and then proposes a detailed encoding method to finalize the XML schema (an XML schema here is the structure to define an XML document), which will become a profile of OGC SensorML. It seamlessly unifies the sensor models defined in ISO 19130-1, ISO 19130-2, and OGC SensorML. By enabling a standardized description of sensor models used to produce remote sensing data, this standard is very promising in promoting data interoperability, mobility, and integration in the remote sensing domain.

show abstract

Section: Sensor Models For Geo-positioning Process and Related Intern...mentioning

confidence: 99%